paper_id stringlengths 15 34 | title stringlengths 25 167 | authors listlengths 1 22 | isca_url stringlengths 66 85 | pdf_url stringlengths 65 84 | doi stringlengths 28 30 | pages stringlengths 3 9 | bibtex large_stringlengths 266 763 | abstract large_stringlengths 427 1.57k | arxiv_id stringlengths 10 10 ⌀ | arxiv_id_source stringclasses 2
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|---|---|---|---|---|---|---|---|---|---|---|
lu24b_interspeech | Improving Copy-Synthesis Anti-Spoofing Training Method with Rhythm and Speaker Perturbation | [
"Jingze Lu",
"Yuxiang Zhang",
"Zhuo Li",
"Zengqiang Shang",
"Wenchao Wang",
"Pengyuan Zhang"
] | https://www.isca-archive.org/interspeech_2024/lu24b_interspeech.html | https://www.isca-archive.org/interspeech_2024/lu24b_interspeech.pdf | 10.21437/Interspeech.2024-367 | 512-516 | @inproceedings{lu24b_interspeech,
title = {{Improving Copy-Synthesis Anti-Spoofing Training Method with Rhythm and Speaker Perturbation}},
author = {Jingze Lu and Yuxiang Zhang and Zhuo Li and Zengqiang Shang and Wenchao Wang and Pengyuan Zhang},
year = {2024},
booktitle = {{Interspeech 2024}},
pa... | The rapid development of speech synthesis algorithms poses a challenge in constructing corresponding training datasets for speech anti-spoofing systems in real-world scenarios. The copy-synthesis method offers a simple yet effective solution to this problem. However, the limitation of this method is that it only utiliz... | null | null |
kan24_interspeech | VoiceDefense: Protecting Automatic Speaker Verification Models Against Black-box Adversarial Attacks | [
"Yip Keng Kan",
"Ke Xu",
"Hao Li",
"Jie Shi"
] | https://www.isca-archive.org/interspeech_2024/kan24_interspeech.html | https://www.isca-archive.org/interspeech_2024/kan24_interspeech.pdf | 10.21437/Interspeech.2024-372 | 517-521 | @inproceedings{kan24_interspeech,
title = {{VoiceDefense: Protecting Automatic Speaker Verification Models Against Black-box Adversarial Attacks}},
author = {Yip Keng Kan and Ke Xu and Hao Li and Jie Shi},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {517--521},
doi = {10.2... | Automatic Speaker Verification (ASV) is extensively used in many security-sensitive domains, but the increasing prevalence of adversarial attacks has seriously compromised the trustworthiness of these systems. Targeted black-box attacks emerge as the most formidable threat, proving incredibly challenging to counteract.... | null | null |
chen24p_interspeech | Neural Codec-based Adversarial Sample Detection for Speaker Verification | [
"Xuanjun Chen",
"Jiawei Du",
"Haibin Wu",
"Jyh-Shing Roger Jang",
"Hung-yi Lee"
] | https://www.isca-archive.org/interspeech_2024/chen24p_interspeech.html | https://www.isca-archive.org/interspeech_2024/chen24p_interspeech.pdf | 10.21437/Interspeech.2024-1191 | 522-526 | @inproceedings{chen24p_interspeech,
title = {{Neural Codec-based Adversarial Sample Detection for Speaker Verification}},
author = {Xuanjun Chen and Jiawei Du and Haibin Wu and Jyh-Shing Roger Jang and Hung-yi Lee},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {522--526},
doi ... | Automatic Speaker Verification (ASV), increasingly used in security-critical applications, faces vulnerabilities from rising adversarial attacks, with few effective defenses available. In this paper, we propose a neural codec-based adversarial sample detection method for ASV. The approach leverages the codec's ability ... | 2406.04582 | title_snapshot |
chen24_interspeech | Textual-Driven Adversarial Purification for Speaker Verification | [
"Sizhou Chen",
"Yibo Bai",
"Jiadi Yao",
"Xiao-Lei Zhang",
"Xuelong Li"
] | https://www.isca-archive.org/interspeech_2024/chen24_interspeech.html | https://www.isca-archive.org/interspeech_2024/chen24_interspeech.pdf | 10.21437/Interspeech.2024-21 | 527-531 | @inproceedings{chen24_interspeech,
title = {{Textual-Driven Adversarial Purification for Speaker Verification}},
author = {Sizhou Chen and Yibo Bai and Jiadi Yao and Xiao-Lei Zhang and Xuelong Li},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {527--531},
doi = {10.21437/Int... | Adversarial attacks introduce subtle perturbations to audio signals for causing automatic speaker verification (ASV) systems to make mistakes. To address this challenge, adversarial purification techniques have emerged, where diffusion models have been proven effective. However, the latest development with the diffusio... | null | null |
li24g_interspeech | Boosting the Transferability of Adversarial Examples with Gradient-Aligned Ensemble Attack for Speaker Recognition | [
"Zhuhai Li",
"Jie Zhang",
"Wu Guo",
"Haochen Wu"
] | https://www.isca-archive.org/interspeech_2024/li24g_interspeech.html | https://www.isca-archive.org/interspeech_2024/li24g_interspeech.pdf | 10.21437/Interspeech.2024-346 | 532-536 | @inproceedings{li24g_interspeech,
title = {{Boosting the Transferability of Adversarial Examples with Gradient-Aligned Ensemble Attack for Speaker Recognition}},
author = {Zhuhai Li and Jie Zhang and Wu Guo and Haochen Wu},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {532--536},
... | In the black-box attack for speaker recognition systems, the adversarial examples can exhibit better transferability for unseen victim system if they can consistently spoof an ensemble of substitute models. In this work, we propose a gradient-aligned ensemble attack method to find the optimal gradient direction to upda... | null | null |
truong24b_interspeech | Temporal-Channel Modeling in Multi-head Self-Attention for Synthetic Speech Detection | [
"Duc-Tuan Truong",
"Ruijie Tao",
"Tuan Nguyen",
"Hieu-Thi Luong",
"Kong Aik Lee",
"Eng Siong Chng"
] | https://www.isca-archive.org/interspeech_2024/truong24b_interspeech.html | https://www.isca-archive.org/interspeech_2024/truong24b_interspeech.pdf | 10.21437/Interspeech.2024-659 | 537-541 | @inproceedings{truong24b_interspeech,
title = {{Temporal-Channel Modeling in Multi-head Self-Attention for Synthetic Speech Detection}},
author = {Duc-Tuan Truong and Ruijie Tao and Tuan Nguyen and Hieu-Thi Luong and Kong Aik Lee and Eng Siong Chng},
year = {2024},
booktitle = {{Interspeech 2024}},
... | Recent synthetic speech detectors leveraging the Transformer model have superior performance compared to the convolutional neural network counterparts. This improvement could be due to the powerful modeling ability of the multi-head self-attention (MHSA) in the Transformer model, which learns the temporal relationship ... | 2406.17376 | title_snapshot |
feng24b_interspeech | Can Synthetic Audio From Generative Foundation Models Assist Audio Recognition and Speech Modeling? | [
"Tiantian Feng",
"Dimitrios Dimitriadis",
"Shrikanth S. Narayanan"
] | https://www.isca-archive.org/interspeech_2024/feng24b_interspeech.html | https://www.isca-archive.org/interspeech_2024/feng24b_interspeech.pdf | 10.21437/Interspeech.2024-1350 | 542-546 | @inproceedings{feng24b_interspeech,
title = {{Can Synthetic Audio From Generative Foundation Models Assist Audio Recognition and Speech Modeling?}},
author = {Tiantian Feng and Dimitrios Dimitriadis and Shrikanth S. Narayanan},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {542--546... | Recent advances in foundation models have enabled audio-generative models that produce high-fidelity sounds associated with music, events, and human actions. Despite the success achieved in modern audio-generative models, the conventional approach to assessing the quality of the audio generation relies heavily on dista... | 2406.08800 | title_snapshot |
dinkel24b_interspeech | Scaling up masked audio encoder learning for general audio classification | [
"Heinrich Dinkel",
"Zhiyong Yan",
"Yongqing Wang",
"Junbo Zhang",
"Yujun Wang",
"Bin Wang"
] | https://www.isca-archive.org/interspeech_2024/dinkel24b_interspeech.html | https://www.isca-archive.org/interspeech_2024/dinkel24b_interspeech.pdf | 10.21437/Interspeech.2024-246 | 547-551 | @inproceedings{dinkel24b_interspeech,
title = {{Scaling up masked audio encoder learning for general audio classification}},
author = {Heinrich Dinkel and Zhiyong Yan and Yongqing Wang and Junbo Zhang and Yujun Wang and Bin Wang},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {547--... | Despite progress in audio classification, a generalization gap remains between speech and other sound domains, such as environmental sounds and music. Models trained for speech tasks often fail to perform well on environmental or musical audio tasks, and vice versa. While self-supervised (SSL) audio representations off... | 2406.06992 | title_snapshot |
yadav24_interspeech | Audio Mamba: Selective State Spaces for Self-Supervised Audio Representations | [
"Sarthak Yadav",
"Zheng-Hua Tan"
] | https://www.isca-archive.org/interspeech_2024/yadav24_interspeech.html | https://www.isca-archive.org/interspeech_2024/yadav24_interspeech.pdf | 10.21437/Interspeech.2024-1274 | 552-556 | @inproceedings{yadav24_interspeech,
title = {{Audio Mamba: Selective State Spaces for Self-Supervised Audio Representations}},
author = {Sarthak Yadav and Zheng-Hua Tan},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {552--556},
doi = {10.21437/Interspeech.2024-1274},
issn... | Despite its widespread adoption as the prominent neural architecture, the Transformer has spurred several independent lines of work to address its limitations. One such approach is selective state space models, which have demonstrated promising results for language modelling. However, their feasibility for learning se... | 2406.02178 | title_snapshot |
cai24_interspeech | MAT-SED: A Masked Audio Transformer with Masked-Reconstruction Based Pre-training for Sound Event Detection | [
"Pengfei Cai",
"Yan Song",
"Kang Li",
"Haoyu Song",
"Ian McLoughlin"
] | https://www.isca-archive.org/interspeech_2024/cai24_interspeech.html | https://www.isca-archive.org/interspeech_2024/cai24_interspeech.pdf | 10.21437/Interspeech.2024-714 | 557-561 | @inproceedings{cai24_interspeech,
title = {{MAT-SED: A Masked Audio Transformer with Masked-Reconstruction Based Pre-training for Sound Event Detection}},
author = {Pengfei Cai and Yan Song and Kang Li and Haoyu Song and Ian McLoughlin},
year = {2024},
booktitle = {{Interspeech 2024}},
pages =... | Sound event detection (SED) methods that leverage a large pre-trained Transformer encoder network have shown promising performance in recent DCASE challenges. However, they still rely on an RNN-based context network to model temporal dependencies, largely due to the scarcity of labeled data. In this work, we propose a ... | 2408.08673 | title_snapshot |
ebbers24_interspeech | Sound Event Bounding Boxes | [
"Janek Ebbers",
"François G. Germain",
"Gordon Wichern",
"Jonathan Le Roux"
] | https://www.isca-archive.org/interspeech_2024/ebbers24_interspeech.html | https://www.isca-archive.org/interspeech_2024/ebbers24_interspeech.pdf | 10.21437/Interspeech.2024-2075 | 562-566 | @inproceedings{ebbers24_interspeech,
title = {{Sound Event Bounding Boxes}},
author = {Janek Ebbers and François G. Germain and Gordon Wichern and Jonathan {Le Roux}},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {562--566},
doi = {10.21437/Interspeech.2024-2075},
issn ... | Sound event detection is the task of recognizing sounds and determining their extent (onset/offset times) within an audio clip. Existing systems commonly predict sound presence posteriors in short time frames. Then, thresholding produces binary frame-level presence decisions, with the extent of individual events determ... | 2406.04212 | title_snapshot |
li24k_interspeech | Low-Complexity Acoustic Scene Classification Using Parallel Attention-Convolution Network | [
"Yanxiong Li",
"Jiaxin Tan",
"Guoqing Chen",
"Jialong Li",
"Yongjie Si",
"Qianhua He"
] | https://www.isca-archive.org/interspeech_2024/li24k_interspeech.html | https://www.isca-archive.org/interspeech_2024/li24k_interspeech.pdf | 10.21437/Interspeech.2024-591 | 567-571 | @inproceedings{li24k_interspeech,
title = {{Low-Complexity Acoustic Scene Classification Using Parallel Attention-Convolution Network}},
author = {Yanxiong Li and Jiaxin Tan and Guoqing Chen and Jialong Li and Yongjie Si and Qianhua He},
year = {2024},
booktitle = {{Interspeech 2024}},
pages =... | This work is an improved system that we submitted to task 1 of DCASE2023 challenge. We propose a method of low-complexity acoustic scene classification by a parallel attention-convolution network which consists of four modules, including pre-processing, fusion, global and local contextual information extraction. The pr... | 2406.08119 | title_snapshot |
taherian24_interspeech | Towards Explainable Monaural Speaker Separation with Auditory-based Training | [
"Hassan Taherian",
"Vahid Ahmadi Kalkhorani",
"Ashutosh Pandey",
"Daniel Wong",
"Buye Xu",
"DeLiang Wang"
] | https://www.isca-archive.org/interspeech_2024/taherian24_interspeech.html | https://www.isca-archive.org/interspeech_2024/taherian24_interspeech.pdf | 10.21437/Interspeech.2024-530 | 572-576 | @inproceedings{taherian24_interspeech,
title = {{Towards Explainable Monaural Speaker Separation with Auditory-based Training}},
author = {Hassan Taherian and Vahid {Ahmadi Kalkhorani} and Ashutosh Pandey and Daniel Wong and Buye Xu and DeLiang Wang},
year = {2024},
booktitle = {{Interspeech 2024}},... | Permutation ambiguity is a major challenge in training monaural talker-independent speaker separation. While permutation invariant training (PIT) is a widely used technique, it functions as a `black box', providing little insight into which auditory cues lead to successful training. We introduce a new approach to speak... | null | null |
ewert24_interspeech | Does the Lombard Effect Matter in Speech Separation? Introducing the Lombard-GRID-2mix Dataset | [
"Iva Ewert",
"Marvin Borsdorf",
"Haizhou Li",
"Tanja Schultz"
] | https://www.isca-archive.org/interspeech_2024/ewert24_interspeech.html | https://www.isca-archive.org/interspeech_2024/ewert24_interspeech.pdf | 10.21437/Interspeech.2024-1131 | 577-581 | @inproceedings{ewert24_interspeech,
title = {{Does the Lombard Effect Matter in Speech Separation? Introducing the Lombard-GRID-2mix Dataset}},
author = {Iva Ewert and Marvin Borsdorf and Haizhou Li and Tanja Schultz},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {577--581},
doi ... | Inspired by the human ability of selective listening, speech separation aims to equip machines with the capability to disentangle cocktail party soundscapes into the individual sound sources. Recently, neural network based algorithms have been studied to work reliably under various conditions. However, to the best of o... | null | null |
pan24_interspeech | PARIS: Pseudo-AutoRegressIve Siamese Training for Online Speech Separation | [
"Zexu Pan",
"Gordon Wichern",
"François G. Germain",
"Kohei Saijo",
"Jonathan Le Roux"
] | https://www.isca-archive.org/interspeech_2024/pan24_interspeech.html | https://www.isca-archive.org/interspeech_2024/pan24_interspeech.pdf | 10.21437/Interspeech.2024-1066 | 582-586 | @inproceedings{pan24_interspeech,
title = {{PARIS: Pseudo-AutoRegressIve Siamese Training for Online Speech Separation}},
author = {Zexu Pan and Gordon Wichern and François G. Germain and Kohei Saijo and Jonathan {Le Roux}},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {582--586},
... | While offline speech separation models have made significant advances, the streaming regime remains less explored and is typically limited to causal modifications of existing offline networks. This study focuses on empowering a streaming speech separation model with autoregressive capability, in which the current step ... | null | null |
zhang24p_interspeech | OR-TSE: An Overlap-Robust Speaker Encoder for Target Speech Extraction | [
"Yiru Zhang",
"Linyu Yao",
"Qun Yang"
] | https://www.isca-archive.org/interspeech_2024/zhang24p_interspeech.html | https://www.isca-archive.org/interspeech_2024/zhang24p_interspeech.pdf | 10.21437/Interspeech.2024-2322 | 587-591 | @inproceedings{zhang24p_interspeech,
title = {{OR-TSE: An Overlap-Robust Speaker Encoder for Target Speech Extraction}},
author = {Yiru Zhang and Linyu Yao and Qun Yang},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {587--591},
doi = {10.21437/Interspeech.2024-2322},
issn... | Mainstream Target Speech Extraction (TSE) systems extract target speech from a mixture using pre-enrolled reference speech. The extraction performance heavily depends on the quality of the reference speech. However, the speech signal of the same speaker may vary under different conditions, leading to a decrease in extr... | null | null |
hsieh24b_interspeech | Multimodal Representation Loss Between Timed Text and Audio for Regularized Speech Separation | [
"Tsun-An Hsieh",
"Heeyoul Choi",
"Minje Kim"
] | https://www.isca-archive.org/interspeech_2024/hsieh24b_interspeech.html | https://www.isca-archive.org/interspeech_2024/hsieh24b_interspeech.pdf | 10.21437/Interspeech.2024-1265 | 592-596 | @inproceedings{hsieh24b_interspeech,
title = {{Multimodal Representation Loss Between Timed Text and Audio for Regularized Speech Separation}},
author = {Tsun-An Hsieh and Heeyoul Choi and Minje Kim},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {592--596},
doi = {10.21437/... | Recent studies highlight the potential of textual modalities in conditioning the speech separation model's inference process. However, regularization-based methods remain underexplored despite their advantages of not requiring auxiliary text data during the test time. To address this gap, we introduce a timed text-base... | 2406.08328 | title_snapshot |
lin24g_interspeech | SA-WavLM: Speaker-Aware Self-Supervised Pre-training for Mixture Speech | [
"Jingru Lin",
"Meng Ge",
"Junyi Ao",
"Liqun Deng",
"Haizhou Li"
] | https://www.isca-archive.org/interspeech_2024/lin24g_interspeech.html | https://www.isca-archive.org/interspeech_2024/lin24g_interspeech.pdf | 10.21437/Interspeech.2024-787 | 597-601 | @inproceedings{lin24g_interspeech,
title = {{SA-WavLM: Speaker-Aware Self-Supervised Pre-training for Mixture Speech}},
author = {Jingru Lin and Meng Ge and Junyi Ao and Liqun Deng and Haizhou Li},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {597--601},
doi = {10.21437/Int... | It was shown that pre-trained models with self-supervised learning (SSL) techniques are effective in various downstream speech tasks. However, most such models are trained on single-speaker speech data, limiting their effectiveness in mixture speech. This motivates us to explore pre-training on mixture speech. This wor... | 2407.02826 | title_snapshot |
wang24g_interspeech | TSE-PI: Target Sound Extraction under Reverberant Environments with Pitch Information | [
"Yiwen Wang",
"Xihong Wu"
] | https://www.isca-archive.org/interspeech_2024/wang24g_interspeech.html | https://www.isca-archive.org/interspeech_2024/wang24g_interspeech.pdf | 10.21437/Interspeech.2024-197 | 602-606 | @inproceedings{wang24g_interspeech,
title = {{TSE-PI: Target Sound Extraction under Reverberant Environments with Pitch Information}},
author = {Yiwen Wang and Xihong Wu},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {602--606},
doi = {10.21437/Interspeech.2024-197},
issn... | Target sound extraction (TSE) separates the target sound from the mixture signals based on provided clues. However, the performance of existing models significantly degrades under reverberant conditions. Inspired by auditory scene analysis (ASA), this work proposes a TSE model provided with pitch information named TSE-... | 2406.08716 | title_snapshot |
saijo24_interspeech | Enhanced Reverberation as Supervision for Unsupervised Speech Separation | [
"Kohei Saijo",
"Gordon Wichern",
"François G. Germain",
"Zexu Pan",
"Jonathan Le Roux"
] | https://www.isca-archive.org/interspeech_2024/saijo24_interspeech.html | https://www.isca-archive.org/interspeech_2024/saijo24_interspeech.pdf | 10.21437/Interspeech.2024-1241 | 607-611 | @inproceedings{saijo24_interspeech,
title = {{Enhanced Reverberation as Supervision for Unsupervised Speech Separation}},
author = {Kohei Saijo and Gordon Wichern and François G. Germain and Zexu Pan and Jonathan {Le Roux}},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {607--611},
... | Reverberation as supervision (RAS) is a framework that allows for training monaural speech separation models from multi-channel mixtures in an unsupervised manner. In RAS, models are trained so that sources predicted from a mixture at an input channel can be mapped to reconstruct a mixture at a target channel. Howeve... | 2408.03438 | title_snapshot |
zhao24_interspeech | Deep Echo Path Modeling for Acoustic Echo Cancellation | [
"Fei Zhao",
"Chenggang Zhang",
"Shulin He",
"Jinjiang Liu",
"Xueliang Zhang"
] | https://www.isca-archive.org/interspeech_2024/zhao24_interspeech.html | https://www.isca-archive.org/interspeech_2024/zhao24_interspeech.pdf | 10.21437/Interspeech.2024-662 | 612-616 | @inproceedings{zhao24_interspeech,
title = {{Deep Echo Path Modeling for Acoustic Echo Cancellation}},
author = {Fei Zhao and Chenggang Zhang and Shulin He and Jinjiang Liu and Xueliang Zhang},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {612--616},
doi = {10.21437/Intersp... | Acoustic echo cancellation (AEC) is a key audio processing technology that removes echoes from microphone inputs to enable natural-sounding full-duplex communication. In recent years, deep learning has shown great potential for advancing AEC. However, deep learning methods face challenges in generalizing to complex env... | null | null |
guo24_interspeech | Graph Attention Based Multi-Channel U-Net for Speech Dereverberation With Ad-Hoc Microphone Arrays | [
"Hongmei Guo",
"Yijiang Chen",
"Xiao-Lei Zhang",
"Xuelong Li"
] | https://www.isca-archive.org/interspeech_2024/guo24_interspeech.html | https://www.isca-archive.org/interspeech_2024/guo24_interspeech.pdf | 10.21437/Interspeech.2024-336 | 617-621 | @inproceedings{guo24_interspeech,
title = {{Graph Attention Based Multi-Channel U-Net for Speech Dereverberation With Ad-Hoc Microphone Arrays}},
author = {Hongmei Guo and Yijiang Chen and Xiao-Lei Zhang and Xuelong Li},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {617--621},
do... | Speech dereverberation with ad-hoc microphone arrays seems not studied sufficiently, particularly in the scenario where the reverberation time is large. In this paper, we propose a novel multi-channel U-Net model for speech dereverberation with ad-hoc microphone arrays, where an attention module is integrated into the ... | null | null |
bahrman24_interspeech | Speech dereverberation constrained on room impulse response characteristics | [
"Louis Bahrman",
"Mathieu Fontaine",
"Jonathan Le Roux",
"Gaël Richard"
] | https://www.isca-archive.org/interspeech_2024/bahrman24_interspeech.html | https://www.isca-archive.org/interspeech_2024/bahrman24_interspeech.pdf | 10.21437/Interspeech.2024-1173 | 622-626 | @inproceedings{bahrman24_interspeech,
title = {{Speech dereverberation constrained on room impulse response characteristics}},
author = {Louis Bahrman and Mathieu Fontaine and Jonathan {Le Roux} and Gaël Richard},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {622--626},
doi ... | Single-channel speech dereverberation aims at extracting a dry speech signal from a recording affected by the acoustic reflections in a room. However, most current deep learning-based approaches for speech dereverberation are not interpretable for room acoustics, and can be considered as black-box systems in that regar... | 2407.08657 | title_snapshot |
yuan24_interspeech | DeWinder: Single-Channel Wind Noise Reduction using Ultrasound Sensing | [
"Kuang Yuan",
"Shuo Han",
"Swarun Kumar",
"Bhiksha Raj"
] | https://www.isca-archive.org/interspeech_2024/yuan24_interspeech.html | https://www.isca-archive.org/interspeech_2024/yuan24_interspeech.pdf | 10.21437/Interspeech.2024-2180 | 627-631 | @inproceedings{yuan24_interspeech,
title = {{DeWinder: Single-Channel Wind Noise Reduction using Ultrasound Sensing}},
author = {Kuang Yuan and Shuo Han and Swarun Kumar and Bhiksha Raj},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {627--631},
doi = {10.21437/Interspeech.2... | The quality of audio recordings in outdoor environments is often degraded by the presence of wind. Mitigating the impact of wind noise on the perceptual quality of single-channel speech remains a significant challenge due to its non-stationary characteristics. Prior work in noise suppression treats wind noise as a gene... | 2409.06137 | title_snapshot |
barnhill24_interspeech | ANIMAL-CLEAN – A Deep Denoising Toolkit for Animal-Independent Signal Enhancement | [
"Alexander Barnhill",
"Elmar Noeth",
"Andreas Maier",
"Christian Bergler"
] | https://www.isca-archive.org/interspeech_2024/barnhill24_interspeech.html | https://www.isca-archive.org/interspeech_2024/barnhill24_interspeech.pdf | 10.21437/Interspeech.2024-1151 | 632-636 | @inproceedings{barnhill24_interspeech,
title = {{ANIMAL-CLEAN – A Deep Denoising Toolkit for Animal-Independent Signal Enhancement}},
author = {Alexander Barnhill and Elmar Noeth and Andreas Maier and Christian Bergler},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {632--636},
do... | Signal enhancement in bioacoustics can be of vital importance due to the fact that recordings are largely done in noise-heavy environments, in which anthrophonic, geophonic, or biophonic disturbances are myriad and can impede downstream analysis. Existing audio denoising techniques largely focus on human speech, wherea... | null | null |
nayak24b_interspeech | Elucidating Clock-drift Using Real-world Audios In Wireless Mode For Time-offset Insensitive End-to-End Asynchronous Acoustic Echo Cancellation | [
"Premanand Nayak",
"M. Ali Basha Shaik"
] | https://www.isca-archive.org/interspeech_2024/nayak24b_interspeech.html | https://www.isca-archive.org/interspeech_2024/nayak24b_interspeech.pdf | 10.21437/Interspeech.2024-854 | 637-641 | @inproceedings{nayak24b_interspeech,
title = {{Elucidating Clock-drift Using Real-world Audios In Wireless Mode For Time-offset Insensitive End-to-End Asynchronous Acoustic Echo Cancellation}},
author = {Premanand Nayak and M. Ali Basha Shaik},
year = {2024},
booktitle = {{Interspeech 2024}},
page... | External playback and microphone array devices connected over wireless channels lack a common clock reference. This leads to non-linear asynchronous clock-drift effects with respect to effective echo path. Thereby, causing time-accelerated exacerbation when conventional filter based echo cancellers are used. We delinea... | null | null |
wang24o_interspeech | QMixCAT: Unsupervised Speech Enhancement Using Quality-guided Signal Mixing and Competitive Alternating Model Training | [
"Shilin Wang",
"Haixin Guan",
"Yanhua Long"
] | https://www.isca-archive.org/interspeech_2024/wang24o_interspeech.html | https://www.isca-archive.org/interspeech_2024/wang24o_interspeech.pdf | 10.21437/Interspeech.2024-639 | 642-646 | @inproceedings{wang24o_interspeech,
title = {{QMixCAT: Unsupervised Speech Enhancement Using Quality-guided Signal Mixing and Competitive Alternating Model Training}},
author = {Shilin Wang and Haixin Guan and Yanhua Long},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {642--646},
... | Most deep learning-based speech enhancement (SE) models are supervised, requiring pairs of mixture and clean speech for training. This poses great challenges for real-world SE applications. Addressing this limitation is very crucial. In this paper, we introduce QMixCAT, an innovative unsupervised SE approach that enabl... | null | null |
bae24_interspeech | Speech Boosting: Low-Latency Live Speech Enhancement for TWS Earbuds | [
"Hanbin Bae",
"Pavel Andreev",
"Azat Saginbaev",
"Nicholas Babaev",
"WonJun Lee",
"Hosang Sung",
"Hoon-Young Cho"
] | https://www.isca-archive.org/interspeech_2024/bae24_interspeech.html | https://www.isca-archive.org/interspeech_2024/bae24_interspeech.pdf | 10.21437/Interspeech.2024-1444 | 647-651 | @inproceedings{bae24_interspeech,
title = {{Speech Boosting: Low-Latency Live Speech Enhancement for TWS Earbuds}},
author = {Hanbin Bae and Pavel Andreev and Azat Saginbaev and Nicholas Babaev and WonJun Lee and Hosang Sung and Hoon-Young Cho},
year = {2024},
booktitle = {{Interspeech 2024}},
pag... | This paper introduces a speech enhancement solution tailored for true wireless stereo (TWS) earbuds on-device usage. The solution was specifically designed to support conversations in noisy environments, with active noise cancellation (ANC) activated. The primary challenges for speech enhancement models in this conte... | 2409.18705 | title_snapshot |
gholami24_interspeech | Knowledge Distillation for Tiny Speech Enhancement with Latent Feature Augmentation | [
"Behnam Gholami",
"Mostafa El-Khamy",
"KeeBong Song"
] | https://www.isca-archive.org/interspeech_2024/gholami24_interspeech.html | https://www.isca-archive.org/interspeech_2024/gholami24_interspeech.pdf | 10.21437/Interspeech.2024-1383 | 652-656 | @inproceedings{gholami24_interspeech,
title = {{Knowledge Distillation for Tiny Speech Enhancement with Latent Feature Augmentation}},
author = {Behnam Gholami and Mostafa El-Khamy and KeeBong Song},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {652--656},
doi = {10.21437/I... | Recent deep neural network (DNN) models have achieved high performance in speech enhancement. However, deploying such complex models in resource-constrained environments can be challenging without significant performance degradation. Knowledge distillation (KD), a technique where a smaller (student) model is trained to... | null | null |
zhang24o_interspeech | Sub-PNWR: Speech Enhancement Based on Signal Sub-Band Splitting and Pseudo Noisy Waveform Reconstruction Loss | [
"Yuewei Zhang",
"Huanbin Zou",
"Jie Zhu"
] | https://www.isca-archive.org/interspeech_2024/zhang24o_interspeech.html | https://www.isca-archive.org/interspeech_2024/zhang24o_interspeech.pdf | 10.21437/Interspeech.2024-1927 | 657-661 | @inproceedings{zhang24o_interspeech,
title = {{Sub-PNWR: Speech Enhancement Based on Signal Sub-Band Splitting and Pseudo Noisy Waveform Reconstruction Loss}},
author = {Yuewei Zhang and Huanbin Zou and Jie Zhu},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {657--661},
doi ... | Existing deep learning-based speech enhancement (SE) methods typically entail high computational complexity. In this paper, we propose to split the input audio into adjacent equally spaced sub-band signals by an analysis filter bank, and feed these sub-band signals into a SE model to recover the denoised sub-band signa... | null | null |
zhao24c_interspeech | Streamlining Speech Enhancement DNNs: an Automated Pruning Method Based on Dependency Graph with Advanced Regularized Loss Strategies | [
"Zugang Zhao",
"Jinghong Zhang",
"Yonghui Liu",
"Jianbing Liu",
"Kai Niu",
"Zhiqiang He"
] | https://www.isca-archive.org/interspeech_2024/zhao24c_interspeech.html | https://www.isca-archive.org/interspeech_2024/zhao24c_interspeech.pdf | 10.21437/Interspeech.2024-785 | 662-666 | @inproceedings{zhao24c_interspeech,
title = {{Streamlining Speech Enhancement DNNs: an Automated Pruning Method Based on Dependency Graph with Advanced Regularized Loss Strategies}},
author = {Zugang Zhao and Jinghong Zhang and Yonghui Liu and Jianbing Liu and Kai Niu and Zhiqiang He},
year = {2024},
... | In the burgeoning field of speech enhancement, the quest for high-performing deep neural networks(DNNs) often grapples with the challenge of increased computational demand and model size. This study unveils a novel structured pruning method that optimizes model via Dependency Graph, achieving automatic dimension reduct... | null | null |
zhang24k_interspeech | Lightweight Dynamic Sparse Transformer for Monaural Speech Enhancement | [
"Zehua Zhang",
"Xuyi Zhuang",
"Yukun Qian",
"Mingjiang Wang"
] | https://www.isca-archive.org/interspeech_2024/zhang24k_interspeech.html | https://www.isca-archive.org/interspeech_2024/zhang24k_interspeech.pdf | 10.21437/Interspeech.2024-1368 | 667-671 | @inproceedings{zhang24k_interspeech,
title = {{Lightweight Dynamic Sparse Transformer for Monaural Speech Enhancement}},
author = {Zehua Zhang and Xuyi Zhuang and Yukun Qian and Mingjiang Wang},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {667--671},
doi = {10.21437/Inters... | Speech enhancement can effectively suppress environmental noise and improve the intelligibility of speech signals, which is a key task in the front-end processing of speech signals. We propose a monaural speech enhancement model called the lightweight dynamic sparse Transformer (LDSTransformer). From the complementarit... | null | null |
lin24h_interspeech | MUSE: Flexible Voiceprint Receptive Fields and Multi-Path Fusion Enhanced Taylor Transformer for U-Net-based Speech Enhancement | [
"Zizhen Lin",
"Xiaoting Chen",
"Junyu Wang"
] | https://www.isca-archive.org/interspeech_2024/lin24h_interspeech.html | https://www.isca-archive.org/interspeech_2024/lin24h_interspeech.pdf | 10.21437/Interspeech.2024-1017 | 672-676 | @inproceedings{lin24h_interspeech,
title = {{MUSE: Flexible Voiceprint Receptive Fields and Multi-Path Fusion Enhanced Taylor Transformer for U-Net-based Speech Enhancement}},
author = {Zizhen Lin and Xiaoting Chen and Junyu Wang},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {672-... | Achieving a balance between lightweight design and high per- formance remains a challenging task for speech enhancement. In this paper, we introduce Multi-path Enhanced Taylor (MET) Transformer based U-Net for Speech Enhancement (MUSE), a lightweight speech enhancement network built upon the U-Net architecture. Our app... | 2406.04589 | title_snapshot |
cheng24_interspeech | Dynamic Gated Recurrent Neural Network for Compute-efficient Speech Enhancement | [
"Longbiao Cheng",
"Ashutosh Pandey",
"Buye Xu",
"Tobi Delbruck",
"Shih-Chii Liu"
] | https://www.isca-archive.org/interspeech_2024/cheng24_interspeech.html | https://www.isca-archive.org/interspeech_2024/cheng24_interspeech.pdf | 10.21437/Interspeech.2024-958 | 677-681 | @inproceedings{cheng24_interspeech,
title = {{Dynamic Gated Recurrent Neural Network for Compute-efficient Speech Enhancement}},
author = {Longbiao Cheng and Ashutosh Pandey and Buye Xu and Tobi Delbruck and Shih-Chii Liu},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {677--681},
... | This paper introduces a new Dynamic Gated Recurrent Neural Network (DG-RNN) for compute-efficient speech enhancement models running on resource-constrained hardware platforms. It leverages the slow evolution characteristic of RNN hidden states over steps, and updates only a selected set of neurons at each step by addin... | 2408.12425 | title_snapshot |
xue24c_interspeech | Improving Audio Codec-based Zero-Shot Text-to-Speech Synthesis with Multi-Modal Context and Large Language Model | [
"Jinlong Xue",
"Yayue Deng",
"Yicheng Han",
"Yingming Gao",
"Ya Li"
] | https://www.isca-archive.org/interspeech_2024/xue24c_interspeech.html | https://www.isca-archive.org/interspeech_2024/xue24c_interspeech.pdf | 10.21437/Interspeech.2024-1056 | 682-686 | @inproceedings{xue24c_interspeech,
title = {{Improving Audio Codec-based Zero-Shot Text-to-Speech Synthesis with Multi-Modal Context and Large Language Model}},
author = {Jinlong Xue and Yayue Deng and Yicheng Han and Yingming Gao and Ya Li},
year = {2024},
booktitle = {{Interspeech 2024}},
pages ... | Recent advances in large language models (LLMs) and development of audio codecs greatly propel the zero-shot TTS. They can synthesize personalized speech with only a 3-second speech of an unseen speaker as acoustic prompt. However, they only support short speech prompts and cannot leverage longer context information, a... | 2406.03706 | title_snapshot |
wang24v_interspeech | An Investigation of Noise Robustness for Flow-Matching-Based Zero-Shot TTS | [
"Xiaofei Wang",
"Sefik Emre Eskimez",
"Manthan Thakker",
"Hemin Yang",
"Zirun Zhu",
"Min Tang",
"Yufei Xia",
"Jinzhu Li",
"Sheng Zhao",
"Jinyu Li",
"Naoyuki Kanda"
] | https://www.isca-archive.org/interspeech_2024/wang24v_interspeech.html | https://www.isca-archive.org/interspeech_2024/wang24v_interspeech.pdf | 10.21437/Interspeech.2024-1336 | 687-691 | @inproceedings{wang24v_interspeech,
title = {{An Investigation of Noise Robustness for Flow-Matching-Based Zero-Shot TTS}},
author = {Xiaofei Wang and Sefik Emre Eskimez and Manthan Thakker and Hemin Yang and Zirun Zhu and Min Tang and Yufei Xia and Jinzhu Li and Sheng Zhao and Jinyu Li and Naoyuki Kanda},
... | Recently, zero-shot text-to-speech (TTS) systems, capable of synthesizing any speaker’s voice from a short audio prompt, have made rapid advancements. However, the quality of the generated speech significantly deteriorates when the audio prompt contains noise, and limited research has been conducted to address this iss... | 2406.05699 | title_snapshot |
fujita24b_interspeech | Lightweight Zero-shot Text-to-Speech with Mixture of Adapters | [
"Kenichi Fujita",
"Takanori Ashihara",
"Marc Delcroix",
"Yusuke Ijima"
] | https://www.isca-archive.org/interspeech_2024/fujita24b_interspeech.html | https://www.isca-archive.org/interspeech_2024/fujita24b_interspeech.pdf | 10.21437/Interspeech.2024-803 | 692-696 | @inproceedings{fujita24b_interspeech,
title = {{Lightweight Zero-shot Text-to-Speech with Mixture of Adapters}},
author = {Kenichi Fujita and Takanori Ashihara and Marc Delcroix and Yusuke Ijima},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {692--696},
doi = {10.21437/Inte... | The advancements in zero-shot text-to-speech (TTS) methods, based on large-scale models, have demonstrated high fidelity in reproducing speaker characteristics. However, these models are too large for practical daily use. We propose a lightweight zero-shot TTS method using a mixture of adapters (MoA). Our proposed meth... | 2407.01291 | title_snapshot |
pankov24_interspeech | DINO-VITS: Data-Efficient Zero-Shot TTS with Self-Supervised Speaker Verification Loss for Noise Robustness | [
"Vikentii Pankov",
"Valeria Pronina",
"Alexander Kuzmin",
"Maksim Borisov",
"Nikita Usoltsev",
"Xingshan Zeng",
"Alexander Golubkov",
"Nikolai Ermolenko",
"Aleksandra Shirshova",
"Yulia Matveeva"
] | https://www.isca-archive.org/interspeech_2024/pankov24_interspeech.html | https://www.isca-archive.org/interspeech_2024/pankov24_interspeech.pdf | 10.21437/Interspeech.2024-549 | 697-701 | @inproceedings{pankov24_interspeech,
title = {{DINO-VITS: Data-Efficient Zero-Shot TTS with Self-Supervised Speaker Verification Loss for Noise Robustness}},
author = {Vikentii Pankov and Valeria Pronina and Alexander Kuzmin and Maksim Borisov and Nikita Usoltsev and Xingshan Zeng and Alexander Golubkov and ... | We address zero-shot TTS systems' noise-robustness problem by proposing a dual-objective training for the speaker encoder using self-supervised DINO loss. This approach enhances the speaker encoder with the speech synthesis objective, capturing a wider range of speech characteristics beneficial for voice cloning. At th... | 2311.09770 | title_snapshot |
jin24_interspeech | LibriheavyMix: A 20,000-Hour Dataset for Single-Channel Reverberant Multi-Talker Speech Separation, ASR and Speaker Diarization | [
"Zengrui Jin",
"Yifan Yang",
"Mohan Shi",
"Wei Kang",
"Xiaoyu Yang",
"Zengwei Yao",
"Fangjun Kuang",
"Liyong Guo",
"Lingwei Meng",
"Long Lin",
"Yong Xu",
"Shi-Xiong Zhang",
"Daniel Povey"
] | https://www.isca-archive.org/interspeech_2024/jin24_interspeech.html | https://www.isca-archive.org/interspeech_2024/jin24_interspeech.pdf | 10.21437/Interspeech.2024-90 | 702-706 | @inproceedings{jin24_interspeech,
title = {{LibriheavyMix: A 20,000-Hour Dataset for Single-Channel Reverberant Multi-Talker Speech Separation, ASR and Speaker Diarization}},
author = {Zengrui Jin and Yifan Yang and Mohan Shi and Wei Kang and Xiaoyu Yang and Zengwei Yao and Fangjun Kuang and Liyong Guo and L... | The evolving speech processing landscape is increasingly focused on complex scenarios like meetings or cocktail parties with multiple simultaneous speakers and far-field conditions. Existing methodologies for addressing these challenges fall into two categories: multi-channel and single-channel solutions. Single-channe... | 2409.00819 | title_snapshot |
xing24_interspeech | A Joint Noise Disentanglement and Adversarial Training Framework for Robust Speaker Verification | [
"Xujiang Xing",
"Mingxing Xu",
"Thomas Fang Zheng"
] | https://www.isca-archive.org/interspeech_2024/xing24_interspeech.html | https://www.isca-archive.org/interspeech_2024/xing24_interspeech.pdf | 10.21437/Interspeech.2024-700 | 707-711 | @inproceedings{xing24_interspeech,
title = {{A Joint Noise Disentanglement and Adversarial Training Framework for Robust Speaker Verification}},
author = {Xujiang Xing and Mingxing Xu and Thomas Fang Zheng},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {707--711},
doi = {10... | Automatic Speaker Verification (ASV) suffers from performance degradation in noisy conditions. To address this issue, we propose a novel adversarial learning framework that incorporates noise-disentanglement to establish a noise-independent speaker invariant embedding space. Specifically, the disentanglement module inc... | 2408.11562 | title_snapshot |
shi24e_interspeech | Serialized Output Training by Learned Dominance | [
"Ying Shi",
"Lantian Li",
"Shi Yin",
"Dong Wang",
"Jiqing Han"
] | https://www.isca-archive.org/interspeech_2024/shi24e_interspeech.html | https://www.isca-archive.org/interspeech_2024/shi24e_interspeech.pdf | 10.21437/Interspeech.2024-1710 | 712-716 | @inproceedings{shi24e_interspeech,
title = {{Serialized Output Training by Learned Dominance}},
author = {Ying Shi and Lantian Li and Shi Yin and Dong Wang and Jiqing Han},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {712--716},
doi = {10.21437/Interspeech.2024-1710},
is... | Serialized Output Training (SOT) has showcased state-of-the-art performance in multi-talker speech recognition by sequentially decoding the speech of individual speakers. To address the challenging label-permutation issue, prior methods have relied on either the Permutation Invariant Training (PIT) or the time-based Fi... | 2407.03966 | title_snapshot |
zheng24d_interspeech | SOT Triggered Neural Clustering for Speaker Attributed ASR | [
"Xianrui Zheng",
"Guangzhi Sun",
"Chao Zhang",
"Philip C. Woodland"
] | https://www.isca-archive.org/interspeech_2024/zheng24d_interspeech.html | https://www.isca-archive.org/interspeech_2024/zheng24d_interspeech.pdf | 10.21437/Interspeech.2024-2211 | 717-721 | @inproceedings{zheng24d_interspeech,
title = {{SOT Triggered Neural Clustering for Speaker Attributed ASR}},
author = {Xianrui Zheng and Guangzhi Sun and Chao Zhang and Philip C. Woodland},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {717--721},
doi = {10.21437/Interspeech... | This paper introduces a novel approach to speaker-attributed ASR transcription using a neural clustering method. With a parallel processing mechanism, diarisation and ASR can be applied simultaneously, helping to prevent the accumulation of errors from one sub-system to the next in a cascaded system. This is achieved b... | 2407.02007 | title_snapshot |
bando24_interspeech | Neural Blind Source Separation and Diarization for Distant Speech Recognition | [
"Yoshiaki Bando",
"Tomohiko Nakamura",
"Shinji Watanabe"
] | https://www.isca-archive.org/interspeech_2024/bando24_interspeech.html | https://www.isca-archive.org/interspeech_2024/bando24_interspeech.pdf | 10.21437/Interspeech.2024-1137 | 722-726 | @inproceedings{bando24_interspeech,
title = {{Neural Blind Source Separation and Diarization for Distant Speech Recognition}},
author = {Yoshiaki Bando and Tomohiko Nakamura and Shinji Watanabe},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {722--726},
doi = {10.21437/Inter... | This paper presents a neural method for distant speech recognition (DSR) that jointly separates and diarizes speech mixtures without supervision by isolated signals. A standard separation method for multi-talker DSR is a statistical multichannel method called guided source separation (GSS). While GSS does not require s... | 2406.08396 | title_snapshot |
masumura24_interspeech | Unified Multi-Talker ASR with and without Target-speaker Enrollment | [
"Ryo Masumura",
"Naoki Makishima",
"Tomohiro Tanaka",
"Mana Ihori",
"Naotaka Kawata",
"Shota Orihashi",
"Kazutoshi Shinoda",
"Taiga Yamane",
"Saki Mizuno",
"Keita Suzuki",
"Satoshi Suzuki",
"Nobukatsu Hojo",
"Takafumi Moriya",
"Atsushi Ando"
] | https://www.isca-archive.org/interspeech_2024/masumura24_interspeech.html | https://www.isca-archive.org/interspeech_2024/masumura24_interspeech.pdf | 10.21437/Interspeech.2024-1062 | 727-731 | @inproceedings{masumura24_interspeech,
title = {{Unified Multi-Talker ASR with and without Target-speaker Enrollment}},
author = {Ryo Masumura and Naoki Makishima and Tomohiro Tanaka and Mana Ihori and Naotaka Kawata and Shota Orihashi and Kazutoshi Shinoda and Taiga Yamane and Saki Mizuno and Keita Suzuki a... | This paper proposes a novel multi-talker automatic speech recognition (MT-ASR) system that can perform both a target-speaker enrollment-driven process and a target-speaker-free process in a unified modeling framework. In previous studies, these two MT-ASR forms were independently modeled with unshareable parameters. Ho... | null | null |
shamsian24_interspeech | Keyword-Guided Adaptation of Automatic Speech Recognition | [
"Aviv Shamsian",
"Aviv Navon",
"Neta Glazer",
"Gill Hetz",
"Joseph Keshet"
] | https://www.isca-archive.org/interspeech_2024/shamsian24_interspeech.html | https://www.isca-archive.org/interspeech_2024/shamsian24_interspeech.pdf | 10.21437/Interspeech.2024-391 | 732-736 | @inproceedings{shamsian24_interspeech,
title = {{Keyword-Guided Adaptation of Automatic Speech Recognition}},
author = {Aviv Shamsian and Aviv Navon and Neta Glazer and Gill Hetz and Joseph Keshet},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {732--736},
doi = {10.21437/In... | Automatic Speech Recognition (ASR) technology has made significant progress in recent years, providing accurate transcription across various domains. However, some challenges remain, especially in noisy environments and specialized jargon. In this paper, we propose a novel approach for improved jargon word recognition ... | 2406.02649 | title_snapshot |
manhtienanh24_interspeech | Improving Speech Recognition with Prompt-based Contextualized ASR and LLM-based Re-predictor | [
"Nguyen Manh Tien Anh",
"Thach Ho Sy"
] | https://www.isca-archive.org/interspeech_2024/manhtienanh24_interspeech.html | https://www.isca-archive.org/interspeech_2024/manhtienanh24_interspeech.pdf | 10.21437/Interspeech.2024-1762 | 737-741 | @inproceedings{manhtienanh24_interspeech,
title = {{Improving Speech Recognition with Prompt-based Contextualized ASR and LLM-based Re-predictor}},
author = {Nguyen {Manh Tien Anh} and Thach {Ho Sy}},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {737--741},
doi = {10.21437/... | In recent years, advancements in automatic speech recognition (ASR) systems have led to their widespread use in applications such as call center bots and virtual assistants. However, these systems encounter challenges in adverse speech conditions, lack of contextual information, and recognizing rare words. In this pape... | null | null |
wang24q_interspeech | Incorporating Class-based Language Model for Named Entity Recognition in Factorized Neural Transducer | [
"Peng Wang",
"Yifan Yang",
"Zheng Liang",
"Tian Tan",
"Shiliang Zhang",
"Xie Chen"
] | https://www.isca-archive.org/interspeech_2024/wang24q_interspeech.html | https://www.isca-archive.org/interspeech_2024/wang24q_interspeech.pdf | 10.21437/Interspeech.2024-653 | 742-746 | @inproceedings{wang24q_interspeech,
title = {{Incorporating Class-based Language Model for Named Entity Recognition in Factorized Neural Transducer}},
author = {Peng Wang and Yifan Yang and Zheng Liang and Tian Tan and Shiliang Zhang and Xie Chen},
year = {2024},
booktitle = {{Interspeech 2024}},
... | Despite advancements of end-to-end (E2E) models in speech recognition, named entity recognition (NER) is still challenging but critical for semantic understanding. Previous studies mainly focus on various rule-based or attention-based contextual biasing algorithms. However, their performance might be sensitive to the b... | 2309.07648 | title_snapshot |
yang24j_interspeech | Contextual Biasing with Confidence-based Homophone Detector for Mandarin End-to-End Speech Recognition | [
"Chengxu Yang",
"Lin Zheng",
"Sanli Tian",
"Gaofeng Cheng",
"Sujie Xiao",
"Ta Li"
] | https://www.isca-archive.org/interspeech_2024/yang24j_interspeech.html | https://www.isca-archive.org/interspeech_2024/yang24j_interspeech.pdf | 10.21437/Interspeech.2024-869 | 747-751 | @inproceedings{yang24j_interspeech,
title = {{Contextual Biasing with Confidence-based Homophone Detector for Mandarin End-to-End Speech Recognition}},
author = {Chengxu Yang and Lin Zheng and Sanli Tian and Gaofeng Cheng and Sujie Xiao and Ta Li},
year = {2024},
booktitle = {{Interspeech 2024}},
... | Deep biasing methods and shallow fusion methods have been demonstrated to improve the performance of end-to-end ASR effectively. However, accurate recognition often becomes challenging when specific words within the contextual phrases occur too infrequently in the training corpus or are out-of-vocabulary. To address th... | null | null |
huang24f_interspeech | Improving Neural Biasing for Contextual Speech Recognition by Early Context Injection and Text Perturbation | [
"Ruizhe Huang",
"Mahsa Yarmohammadi",
"Sanjeev Khudanpur",
"Daniel Povey"
] | https://www.isca-archive.org/interspeech_2024/huang24f_interspeech.html | https://www.isca-archive.org/interspeech_2024/huang24f_interspeech.pdf | 10.21437/Interspeech.2024-749 | 752-756 | @inproceedings{huang24f_interspeech,
title = {{Improving Neural Biasing for Contextual Speech Recognition by Early Context Injection and Text Perturbation}},
author = {Ruizhe Huang and Mahsa Yarmohammadi and Sanjeev Khudanpur and Daniel Povey},
year = {2024},
booktitle = {{Interspeech 2024}},
page... | Existing research suggests that automatic speech recognition(ASR) models can benefit from additional contexts (e.g., contact lists, user specified vocabulary). Rare words and named entities can be better recognized with contexts. In this work, we propose two simple yet effective techniques to improve context-aware ASR ... | 2407.10303 | title_snapshot |
andrusenko24_interspeech | Fast Context-Biasing for CTC and Transducer ASR models with CTC-based Word Spotter | [
"Andrei Andrusenko",
"Aleksandr Laptev",
"Vladimir Bataev",
"Vitaly Lavrukhin",
"Boris Ginsburg"
] | https://www.isca-archive.org/interspeech_2024/andrusenko24_interspeech.html | https://www.isca-archive.org/interspeech_2024/andrusenko24_interspeech.pdf | 10.21437/Interspeech.2024-1002 | 757-761 | @inproceedings{andrusenko24_interspeech,
title = {{Fast Context-Biasing for CTC and Transducer ASR models with CTC-based Word Spotter}},
author = {Andrei Andrusenko and Aleksandr Laptev and Vladimir Bataev and Vitaly Lavrukhin and Boris Ginsburg},
year = {2024},
booktitle = {{Interspeech 2024}},
p... | Accurate recognition of rare and new words remains a pressing problem for contextualized Automatic Speech Recognition (ASR) systems. Most context-biasing methods involve modification of the ASR model or the beam-search decoding algorithm, complicating model reuse and slowing down inference. This work presents a new app... | 2406.07096 | title_snapshot |
wei24_interspeech | Prompt Tuning for Speech Recognition on Unknown Spoken Name Entities | [
"Xizi Wei",
"Stephen McGregor"
] | https://www.isca-archive.org/interspeech_2024/wei24_interspeech.html | https://www.isca-archive.org/interspeech_2024/wei24_interspeech.pdf | 10.21437/Interspeech.2024-1162 | 762-766 | @inproceedings{wei24_interspeech,
title = {{Prompt Tuning for Speech Recognition on Unknown Spoken Name Entities}},
author = {Xizi Wei and Stephen McGregor},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {762--766},
doi = {10.21437/Interspeech.2024-1162},
issn = {2958... | This paper explores the challenge of recognising relevant but previously unheard named entities in spoken input. This scenario pertains to real-world applications where establishing an automatic speech recognition (ASR) model trained on new entity phrases may not be efficient. We propose a technique that involves fine-... | null | null |
liu24e_interspeech | Improved Factorized Neural Transducer Model For Text-only Domain Adaptation | [
"Junzhe Liu",
"Jianwei Yu",
"Xie Chen"
] | https://www.isca-archive.org/interspeech_2024/liu24e_interspeech.html | https://www.isca-archive.org/interspeech_2024/liu24e_interspeech.pdf | 10.21437/Interspeech.2024-812 | 767-771 | @inproceedings{liu24e_interspeech,
title = {{Improved Factorized Neural Transducer Model For Text-only Domain Adaptation}},
author = {Junzhe Liu and Jianwei Yu and Xie Chen},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {767--771},
doi = {10.21437/Interspeech.2024-812},
i... | Adapting End-to-End ASR models to out-of-domain datasets with text data is challenging. Factorized neural Transducer (FNT) aims to address this issue by introducing a separate vocabulary decoder to predict the vocabulary. Nonetheless, this approach has limitations in fusing acoustic and language information seamlessly.... | 2309.09524 | title_snapshot |
liu24d_interspeech | Modality Translation Learning for Joint Speech-Text Model | [
"Pin-Yen Liu",
"Jen-Tzung Chien"
] | https://www.isca-archive.org/interspeech_2024/liu24d_interspeech.html | https://www.isca-archive.org/interspeech_2024/liu24d_interspeech.pdf | 10.21437/Interspeech.2024-675 | 772-776 | @inproceedings{liu24d_interspeech,
title = {{Modality Translation Learning for Joint Speech-Text Model}},
author = {Pin-Yen Liu and Jen-Tzung Chien},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {772--776},
doi = {10.21437/Interspeech.2024-675},
issn = {2958-1796},
} | Recent research on speech models, which are jointly pre-trained with text, has unveiled its promising potential to enhance speech representations by encoding both speech and text within a shared space. However, these models often struggle with the interference between speech and text modalities that hardly achieves cro... | null | null |
zhao24d_interspeech | SAML: Speaker Adaptive Mixture of LoRA Experts for End-to-End ASR | [
"Qiuming Zhao",
"Guangzhi Sun",
"Chao Zhang",
"Mingxing Xu",
"Thomas Fang Zheng"
] | https://www.isca-archive.org/interspeech_2024/zhao24d_interspeech.html | https://www.isca-archive.org/interspeech_2024/zhao24d_interspeech.pdf | 10.21437/Interspeech.2024-1006 | 777-781 | @inproceedings{zhao24d_interspeech,
title = {{SAML: Speaker Adaptive Mixture of LoRA Experts for End-to-End ASR}},
author = {Qiuming Zhao and Guangzhi Sun and Chao Zhang and Mingxing Xu and Thomas Fang Zheng},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {777--781},
doi = {... | Mixture-of-experts (MoE) models have achieved excellent results in many tasks. However, conventional MoE models are often very large, making them challenging to deploy on resource-constrained edge devices. In this paper, we propose a novel speaker adaptive mixture of LoRA experts (SAML) approach, which uses low-rank ad... | 2406.19706 | title_snapshot |
ando24_interspeech | Factor-Conditioned Speaking-Style Captioning | [
"Atsushi Ando",
"Takafumi Moriya",
"Shota Horiguchi",
"Ryo Masumura"
] | https://www.isca-archive.org/interspeech_2024/ando24_interspeech.html | https://www.isca-archive.org/interspeech_2024/ando24_interspeech.pdf | 10.21437/Interspeech.2024-633 | 782-786 | @inproceedings{ando24_interspeech,
title = {{Factor-Conditioned Speaking-Style Captioning}},
author = {Atsushi Ando and Takafumi Moriya and Shota Horiguchi and Ryo Masumura},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {782--786},
doi = {10.21437/Interspeech.2024-633},
i... | This paper presents a novel speaking-style captioning method that generates diverse descriptions while accurately predicting speaking-style information. Conventional learning criteria directly use original captions that contain not only speaking-style factor terms but also syntax words, which disturbs learning speaking... | 2406.18910 | title_snapshot |
khassanov24_interspeech | Dual-Pipeline with Low-Rank Adaptation for New Language Integration in Multilingual ASR | [
"Yerbolat Khassanov",
"Zhipeng Chen",
"Tianfeng Chen",
"Tze Yuang Chong",
"Wei Li",
"Jun Zhang",
"Lu Lu",
"Yuxuan Wang"
] | https://www.isca-archive.org/interspeech_2024/khassanov24_interspeech.html | https://www.isca-archive.org/interspeech_2024/khassanov24_interspeech.pdf | 10.21437/Interspeech.2024-348 | 787-791 | @inproceedings{khassanov24_interspeech,
title = {{Dual-Pipeline with Low-Rank Adaptation for New Language Integration in Multilingual ASR}},
author = {Yerbolat Khassanov and Zhipeng Chen and Tianfeng Chen and Tze Yuang Chong and Wei Li and Jun Zhang and Lu Lu and Yuxuan Wang},
year = {2024},
booktit... | This paper addresses challenges in integrating new languages into a pre-trained multilingual automatic speech recognition (mASR) system, particularly in scenarios where training data for existing languages is limited or unavailable. The proposed method employs a dual-pipeline with low-rank adaptation (LoRA). It maintai... | 2406.07842 | title_snapshot |
yusuf24_interspeech | Speculative Speech Recognition by Audio-Prefixed Low-Rank Adaptation of Language Models | [
"Bolaji Yusuf",
"Murali Karthick Baskar",
"Andrew Rosenberg",
"Bhuvana Ramabhadran"
] | https://www.isca-archive.org/interspeech_2024/yusuf24_interspeech.html | https://www.isca-archive.org/interspeech_2024/yusuf24_interspeech.pdf | 10.21437/Interspeech.2024-298 | 792-796 | @inproceedings{yusuf24_interspeech,
title = {{Speculative Speech Recognition by Audio-Prefixed Low-Rank Adaptation of Language Models}},
author = {Bolaji Yusuf and Murali Karthick Baskar and Andrew Rosenberg and Bhuvana Ramabhadran},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {79... | This paper explores speculative speech recognition (SSR), where we empower conventional automatic speech recognition (ASR) with speculation capabilities, allowing the recognizer to run ahead of audio. We introduce a metric for measuring SSR performance and we propose a model which does SSR by combining a RNN-Transducer... | 2407.04641 | title_snapshot |
kim24u_interspeech | Domain-Aware Data Selection for Speech Classification via Meta-Reweighting | [
"Junghun Kim",
"Ka Hyun Park",
"Hoyoung Yoon",
"U Kang"
] | https://www.isca-archive.org/interspeech_2024/kim24u_interspeech.html | https://www.isca-archive.org/interspeech_2024/kim24u_interspeech.pdf | 10.21437/Interspeech.2024-2368 | 797-801 | @inproceedings{kim24u_interspeech,
title = {{Domain-Aware Data Selection for Speech Classification via Meta-Reweighting}},
author = {Junghun Kim and Ka Hyun Park and Hoyoung Yoon and U Kang},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {797--801},
doi = {10.21437/Interspee... | Given speeches from diverse domains, how can we train an accurate classifier for a specific target domain utilizing the other source domains? The problem commonly arises in real-world scenarios, such as identifying the intents of speeches from individuals with a specific speech disorder using those of other disorders. ... | null | null |
futami24_interspeech | Finding Task-specific Subnetworks in Multi-task Spoken Language Understanding Model | [
"Hayato Futami",
"Siddhant Arora",
"Yosuke Kashiwagi",
"Emiru Tsunoo",
"Shinji Watanabe"
] | https://www.isca-archive.org/interspeech_2024/futami24_interspeech.html | https://www.isca-archive.org/interspeech_2024/futami24_interspeech.pdf | 10.21437/Interspeech.2024-712 | 802-806 | @inproceedings{futami24_interspeech,
title = {{Finding Task-specific Subnetworks in Multi-task Spoken Language Understanding Model}},
author = {Hayato Futami and Siddhant Arora and Yosuke Kashiwagi and Emiru Tsunoo and Shinji Watanabe},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = ... | Recently, multi-task spoken language understanding (SLU) models have emerged, designed to address various speech processing tasks. However, these models often rely on a large number of parameters. Also, they often encounter difficulties in adapting to new data for a specific task without experiencing catastrophic forge... | 2406.12317 | title_snapshot |
porjazovski24_interspeech | Out-of-distribution generalisation in spoken language understanding | [
"Dejan Porjazovski",
"Anssi Moisio",
"Mikko Kurimo"
] | https://www.isca-archive.org/interspeech_2024/porjazovski24_interspeech.html | https://www.isca-archive.org/interspeech_2024/porjazovski24_interspeech.pdf | 10.21437/Interspeech.2024-940 | 807-811 | @inproceedings{porjazovski24_interspeech,
title = {{Out-of-distribution generalisation in spoken language understanding}},
author = {Dejan Porjazovski and Anssi Moisio and Mikko Kurimo},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {807--811},
doi = {10.21437/Interspeech.20... | Test data is said to be out-of-distribution (OOD) when it unexpectedly differs from the training data, a common challenge in real-world use cases of machine learning. Although OOD generalisation has gained interest in recent years, few works have focused on OOD generalisation in spoken language understanding (SLU) task... | 2407.07425 | title_snapshot |
laperriere24_interspeech | A dual task learning approach to fine-tune a multilingual semantic speech encoder for Spoken Language Understanding | [
"Gaëlle Laperrière",
"Sahar Ghannay",
"Bassam Jabaian",
"Yannick Estève"
] | https://www.isca-archive.org/interspeech_2024/laperriere24_interspeech.html | https://www.isca-archive.org/interspeech_2024/laperriere24_interspeech.pdf | 10.21437/Interspeech.2024-1133 | 812-816 | @inproceedings{laperriere24_interspeech,
title = {{A dual task learning approach to fine-tune a multilingual semantic speech encoder for Spoken Language Understanding}},
author = {Gaëlle Laperrière and Sahar Ghannay and Bassam Jabaian and Yannick Estève},
year = {2024},
booktitle = {{Interspeech 202... | Self-Supervised Learning is vastly used to efficiently represent speech for Spoken Language Understanding, gradually replacing conventional approaches. Meanwhile, textual SSL models are proposed to encode language-agnostic semantics. SAMU-XLSR framework employed this semantic information to enrich multilingual speech r... | 2406.12141 | title_snapshot |
lee24i_interspeech | Speech-MASSIVE: A Multilingual Speech Dataset for SLU and Beyond | [
"Beomseok Lee",
"Ioan Calapodescu",
"Marco Gaido",
"Matteo Negri",
"Laurent Besacier"
] | https://www.isca-archive.org/interspeech_2024/lee24i_interspeech.html | https://www.isca-archive.org/interspeech_2024/lee24i_interspeech.pdf | 10.21437/Interspeech.2024-957 | 817-821 | @inproceedings{lee24i_interspeech,
title = {{Speech-MASSIVE: A Multilingual Speech Dataset for SLU and Beyond}},
author = {Beomseok Lee and Ioan Calapodescu and Marco Gaido and Matteo Negri and Laurent Besacier},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {817--821},
doi ... | We present Speech-MASSIVE, a multilingual Spoken Language Understanding (SLU) dataset comprising the speech counterpart for a portion of the MASSIVE textual corpus. Speech-MASSIVE covers 12 languages from different families and inherits from MASSIVE the annotations for the intent prediction and slot-filling tasks. Our ... | 2408.03900 | title_snapshot |
li24b_interspeech | Using Large Language Model for End-to-End Chinese ASR and NER | [
"Yuang Li",
"Jiawei Yu",
"Min Zhang",
"Mengxin Ren",
"Yanqing Zhao",
"Xiaofeng Zhao",
"Shimin Tao",
"Jinsong Su",
"Hao Yang"
] | https://www.isca-archive.org/interspeech_2024/li24b_interspeech.html | https://www.isca-archive.org/interspeech_2024/li24b_interspeech.pdf | 10.21437/Interspeech.2024-103 | 822-826 | @inproceedings{li24b_interspeech,
title = {{Using Large Language Model for End-to-End Chinese ASR and NER}},
author = {Yuang Li and Jiawei Yu and Min Zhang and Mengxin Ren and Yanqing Zhao and Xiaofeng Zhao and Shimin Tao and Jinsong Su and Hao Yang},
year = {2024},
booktitle = {{Interspeech 2024}},... | Mapping speech tokens to the same feature space as text tokens has become the paradigm for integrating speech modality into decoder-only large language models (LLMs). An alternative is to use an encoder-decoder architecture that incorporates speech features through cross-attention. In this work, we connect the Whisper ... | 2401.11382 | title_snapshot |
koudounas24b_interspeech | A Contrastive Learning Approach to Mitigate Bias in Speech Models | [
"Alkis Koudounas",
"Flavio Giobergia",
"Eliana Pastor",
"Elena Baralis"
] | https://www.isca-archive.org/interspeech_2024/koudounas24b_interspeech.html | https://www.isca-archive.org/interspeech_2024/koudounas24b_interspeech.pdf | 10.21437/Interspeech.2024-1219 | 827-831 | @inproceedings{koudounas24b_interspeech,
title = {{A Contrastive Learning Approach to Mitigate Bias in Speech Models}},
author = {Alkis Koudounas and Flavio Giobergia and Eliana Pastor and Elena Baralis},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {827--831},
doi = {10.21... | Speech models may be affected by performance imbalance in different population subgroups, raising concerns about fair treatment across these groups. Prior attempts to mitigate unfairness either focus on user-defined subgroups, potentially overlooking other affected subgroups, or do not explicitly improve the internal r... | 2406.14686 | title_snapshot |
huang24h_interspeech | Investigating Decoder-only Large Language Models for Speech-to-text Translation | [
"Chao-Wei Huang",
"Hui Lu",
"Hongyu Gong",
"Hirofumi Inaguma",
"Ilia Kulikov",
"Ruslan Mavlyutov",
"Sravya Popuri"
] | https://www.isca-archive.org/interspeech_2024/huang24h_interspeech.html | https://www.isca-archive.org/interspeech_2024/huang24h_interspeech.pdf | 10.21437/Interspeech.2024-1858 | 832-836 | @inproceedings{huang24h_interspeech,
title = {{Investigating Decoder-only Large Language Models for Speech-to-text Translation}},
author = {Chao-Wei Huang and Hui Lu and Hongyu Gong and Hirofumi Inaguma and Ilia Kulikov and Ruslan Mavlyutov and Sravya Popuri},
year = {2024},
booktitle = {{Interspeec... | Large language models (LLMs), known for their exceptional reasoning capabilities, generalizability, and fluency across diverse domains, present a promising avenue for enhancing speech-related tasks. In this paper, we focus on integrating decoder-only LLMs to the task of speech-to-text translation (S2TT). We propose a d... | 2407.03169 | title_snapshot |
hirschkind24_interspeech | Diffusion Synthesizer for Efficient Multilingual Speech to Speech Translation | [
"Nameer Hirschkind",
"Xiao Yu",
"Mahesh Kumar Nandwana",
"Joseph Liu",
"Eloi DuBois",
"Dao Le",
"Nicolas Thiebaut",
"Colin Sinclair",
"Kyle Spence",
"Charles Shang",
"Zoe Abrams",
"Morgan McGuire"
] | https://www.isca-archive.org/interspeech_2024/hirschkind24_interspeech.html | https://www.isca-archive.org/interspeech_2024/hirschkind24_interspeech.pdf | 10.21437/Interspeech.2024-616 | 837-841 | @inproceedings{hirschkind24_interspeech,
title = {{Diffusion Synthesizer for Efficient Multilingual Speech to Speech Translation}},
author = {Nameer Hirschkind and Xiao Yu and Mahesh Kumar Nandwana and Joseph Liu and Eloi DuBois and Dao Le and Nicolas Thiebaut and Colin Sinclair and Kyle Spence and Charles S... | We introduce DiffuseST, a low-latency, direct speech-to-speech translation system capable of preserving the input speaker's voice zero-shot while translating from multiple source languages into English. We experiment with the synthesizer component of the architecture, comparing a Tacotron-based synthesizer to a novel d... | 2406.10223 | title_snapshot |
chen24v_interspeech | Sign Value Constraint Decomposition for Efficient 1-Bit Quantization of Speech Translation Tasks | [
"Nan Chen",
"Yonghe Wang",
"Feilong Bao"
] | https://www.isca-archive.org/interspeech_2024/chen24v_interspeech.html | https://www.isca-archive.org/interspeech_2024/chen24v_interspeech.pdf | 10.21437/Interspeech.2024-2022 | 842-846 | @inproceedings{chen24v_interspeech,
title = {{Sign Value Constraint Decomposition for Efficient 1-Bit Quantization of Speech Translation Tasks}},
author = {Nan Chen and Yonghe Wang and Feilong Bao},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {842--846},
doi = {10.21437/In... | Speech-to-text translation is vital in converting speech input to text output in different languages. While combining speech and machine translation pre-trained models enhances translation quality, it also escalates the number of parameters, resulting in substantial hardware costs for model training and deployment. We ... | null | null |
lee24h_interspeech | Lightweight Audio Segmentation for Long-form Speech Translation | [
"Jaesong Lee",
"Soyoon Kim",
"Hanbyul Kim",
"Joon Son Chung"
] | https://www.isca-archive.org/interspeech_2024/lee24h_interspeech.html | https://www.isca-archive.org/interspeech_2024/lee24h_interspeech.pdf | 10.21437/Interspeech.2024-790 | 847-851 | @inproceedings{lee24h_interspeech,
title = {{Lightweight Audio Segmentation for Long-form Speech Translation}},
author = {Jaesong Lee and Soyoon Kim and Hanbyul Kim and Joon Son Chung},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {847--851},
doi = {10.21437/Interspeech.202... | Speech segmentation is an essential part of speech translation (ST) systems in real-world scenarios. Since most ST models are designed to process speech segments, long-form audio must be partitioned into shorter segments before translation. Recently, data-driven approaches for the speech segmentation task have been dev... | 2406.10549 | title_snapshot |
tan24b_interspeech | Contrastive Feedback Mechanism for Simultaneous Speech Translation | [
"Haotian Tan",
"Sakriani Sakti"
] | https://www.isca-archive.org/interspeech_2024/tan24b_interspeech.html | https://www.isca-archive.org/interspeech_2024/tan24b_interspeech.pdf | 10.21437/Interspeech.2024-2426 | 852-856 | @inproceedings{tan24b_interspeech,
title = {{Contrastive Feedback Mechanism for Simultaneous Speech Translation}},
author = {Haotian Tan and Sakriani Sakti},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {852--856},
doi = {10.21437/Interspeech.2024-2426},
issn = {2958... | Recent advances in simultaneous speech translation (SST) focus on the decision policies that enable the use of offline-trained ST models for simultaneous inference. These decision policies not only control the quality-latency trade-off in SST but also mitigate the impact of unstable predictions on translation quality b... | 2407.20524 | title_snapshot |
macaire24_interspeech | Towards Speech-to-Pictograms Translation | [
"Cécile Macaire",
"Chloé Dion",
"Didier Schwab",
"Benjamin Lecouteux",
"Emmanuelle Esperança-Rodier"
] | https://www.isca-archive.org/interspeech_2024/macaire24_interspeech.html | https://www.isca-archive.org/interspeech_2024/macaire24_interspeech.pdf | 10.21437/Interspeech.2024-490 | 857-861 | @inproceedings{macaire24_interspeech,
title = {{Towards Speech-to-Pictograms Translation}},
author = {Cécile Macaire and Chloé Dion and Didier Schwab and Benjamin Lecouteux and Emmanuelle Esperança-Rodier},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {857--861},
doi = {10.... | The automatic translation of speech into pictogram terms (Speech-to-Pictos) represents a novel NLP task with the potential to enhance communication for individuals with language impairments. Recent research has not explored the adaptation of state-of-the-art methods to this task, despite its significance. In this work,... | null | null |
lee24e_interspeech | Automatic Assessment of Speech Production Skills for Children with Cochlear Implants Using Wav2Vec2.0 Acoustic Embeddings | [
"Seonwoo Lee",
"Sunhee Kim",
"Minhwa Chung"
] | https://www.isca-archive.org/interspeech_2024/lee24e_interspeech.html | https://www.isca-archive.org/interspeech_2024/lee24e_interspeech.pdf | 10.21437/Interspeech.2024-234 | 862-866 | @inproceedings{lee24e_interspeech,
title = {{Automatic Assessment of Speech Production Skills for Children with Cochlear Implants Using Wav2Vec2.0 Acoustic Embeddings}},
author = {Seonwoo Lee and Sunhee Kim and Minhwa Chung},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {862--866},... | This study introduces an automatic assessment model for speech production skills of children with cochlear implants (CIs) to support home-based speech therapy. The model employs acoustic embeddings from self-supervised models and considers speech traits of both normal hearing (NH) adults and children, which is a novel ... | null | null |
ahn24_interspeech | SyncVSR: Data-Efficient Visual Speech Recognition with End-to-End Crossmodal Audio Token Synchronization | [
"Young Jin Ahn",
"Jungwoo Park",
"Sangha Park",
"Jonghyun Choi",
"Kee-Eung Kim"
] | https://www.isca-archive.org/interspeech_2024/ahn24_interspeech.html | https://www.isca-archive.org/interspeech_2024/ahn24_interspeech.pdf | 10.21437/Interspeech.2024-432 | 867-871 | @inproceedings{ahn24_interspeech,
title = {{SyncVSR: Data-Efficient Visual Speech Recognition with End-to-End Crossmodal Audio Token Synchronization}},
author = {Young Jin Ahn and Jungwoo Park and Sangha Park and Jonghyun Choi and Kee-Eung Kim},
year = {2024},
booktitle = {{Interspeech 2024}},
pag... | Visual Speech Recognition (VSR) stands at the intersection of computer vision and speech recognition, aiming to interpret spoken content from visual cues. A prominent challenge in VSR is the presence of homophenes—visually similar lip gestures that represent different phonemes. Prior approaches have sought to distingui... | 2406.12233 | title_snapshot |
huckvale24_interspeech | Evaluating a 3-factor listener model for prediction of speech intelligibility to hearing-impaired listeners | [
"Mark Huckvale",
"Gaston Hilkhuysen"
] | https://www.isca-archive.org/interspeech_2024/huckvale24_interspeech.html | https://www.isca-archive.org/interspeech_2024/huckvale24_interspeech.pdf | 10.21437/Interspeech.2024-961 | 872-876 | @inproceedings{huckvale24_interspeech,
title = {{Evaluating a 3-factor listener model for prediction of speech intelligibility to hearing-impaired listeners}},
author = {Mark Huckvale and Gaston Hilkhuysen},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {872--876},
doi = {10... | A speech intelligibility prediction model for hearing impaired listeners would be useful in the development of better signal enhancement methods and for the fitting of hearing aids. Most current prediction models use only information from a pure-tone audiogram to characterise impaired listeners, although evidence sugge... | null | null |
fagniart24_interspeech | Production of fricative consonants in French-speaking children with cochlear implants and typical hearing: acoustic and phonological analyses. | [
"Sophie Fagniart",
"Brigitte Charlier",
"Véronique Delvaux",
"Bernard Harmegnies",
"Anne Huberlant",
"Myriam Piccaluga",
"Kathy Huet"
] | https://www.isca-archive.org/interspeech_2024/fagniart24_interspeech.html | https://www.isca-archive.org/interspeech_2024/fagniart24_interspeech.pdf | 10.21437/Interspeech.2024-871 | 877-881 | @inproceedings{fagniart24_interspeech,
title = {{Production of fricative consonants in French-speaking children with cochlear implants and typical hearing: acoustic and phonological analyses.}},
author = {Sophie Fagniart and Brigitte Charlier and Véronique Delvaux and Bernard Harmegnies and Anne Huberlant an... | The following study investigates fricative consonant production skills in 23 children with cochlear implants (CI group) and 47 children with typical hearing (TH group), matched by chronological and auditory age. The voiceless (/f/,/s/,/ʃ/) and voiced (/v/,/z/,/ʒ/) fricative consonants of French were studied from childr... | null | null |
irino24_interspeech | Signal processing algorithm effective for sound quality of hearing loss simulators | [
"Toshio Irino",
"Shintaro Doan",
"Minami Ishikawa"
] | https://www.isca-archive.org/interspeech_2024/irino24_interspeech.html | https://www.isca-archive.org/interspeech_2024/irino24_interspeech.pdf | 10.21437/Interspeech.2024-111 | 882-886 | @inproceedings{irino24_interspeech,
title = {{Signal processing algorithm effective for sound quality of hearing loss simulators }},
author = {Toshio Irino and Shintaro Doan and Minami Ishikawa},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {882--886},
doi = {10.21437/Inter... | Hearing loss (HL) simulators, which allow normal hearing (NH) listeners to experience HL, have been used in speech intelligibility experiments, but not in sound quality experiments due to perceptible distortion. If they produced less distortion, they might be useful for NH listeners to evaluate the sound quality of, fo... | 2406.05286 | title_snapshot |
niu24c_interspeech | Auditory Spatial Attention Detection Based on Feature Disentanglement and Brain Connectivity-Informed Graph Neural Networks | [
"Yixiang Niu",
"Ning Chen",
"Hongqing Zhu",
"Zhiying Zhu",
"Guangqiang Li",
"Yibo Chen"
] | https://www.isca-archive.org/interspeech_2024/niu24c_interspeech.html | https://www.isca-archive.org/interspeech_2024/niu24c_interspeech.pdf | 10.21437/Interspeech.2024-1940 | 887-891 | @inproceedings{niu24c_interspeech,
title = {{Auditory Spatial Attention Detection Based on Feature Disentanglement and Brain Connectivity-Informed Graph Neural Networks}},
author = {Yixiang Niu and Ning Chen and Hongqing Zhu and Zhiying Zhu and Guangqiang Li and Yibo Chen},
year = {2024},
booktitle ... | Auditory spatial attention detection (ASAD) aims to determine which speaker in a surround sound field a listener is focusing on from a single-trial electroencephalogram (EEG). Latest studies have represented non-Euclidean structured EEGs by graph-based modeling, but how to better incorporate brain connectivity into EEG... | null | null |
monaghan24_interspeech | Automatic Detection of Hearing Loss from Children's Speech using wav2vec 2.0 Features | [
"Jessica Monaghan",
"Arun Sebastian",
"Nicky Chong-White",
"Vicky Zhang",
"Vijayalakshmi Easwar",
"Padraig Kitterick"
] | https://www.isca-archive.org/interspeech_2024/monaghan24_interspeech.html | https://www.isca-archive.org/interspeech_2024/monaghan24_interspeech.pdf | 10.21437/Interspeech.2024-414 | 892-896 | @inproceedings{monaghan24_interspeech,
title = {{Automatic Detection of Hearing Loss from Children's Speech using wav2vec 2.0 Features}},
author = {Jessica Monaghan and Arun Sebastian and Nicky Chong-White and Vicky Zhang and Vijayalakshmi Easwar and Padraig Kitterick},
year = {2024},
booktitle = {{... | This study explores the feasibility of employing machine learning to classify acoustic features of speech for detecting hearing loss in preschool children. Acknowledging the critical developmental impacts of early hearing loss identification and the challenges associated with traditional testing methods for this age gr... | null | null |
changawala24_interspeech | Whister: Using Whisper’s representations for Stuttering detection | [
"Vrushank Changawala",
"Frank Rudzicz"
] | https://www.isca-archive.org/interspeech_2024/changawala24_interspeech.html | https://www.isca-archive.org/interspeech_2024/changawala24_interspeech.pdf | 10.21437/Interspeech.2024-2293 | 897-901 | @inproceedings{changawala24_interspeech,
title = {{Whister: Using Whisper’s representations for Stuttering detection}},
author = {Vrushank Changawala and Frank Rudzicz},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {897--901},
doi = {10.21437/Interspeech.2024-2293},
issn ... | In this paper, we empirically investigate the influence of different factors on the performance of dysfluency detection. Specifically, we examine the impact of data splits, data quality, and learned representations of large pre-trained models. To conduct our experiments, we use the frozen Whisper model with two trainab... | null | null |
xiong24_interspeech | Improving Speech-Based Dysarthria Detection using Multi-task Learning with Gradient Projection | [
"Yan Xiong",
"Visar Berisha",
"Julie Liss",
"Chaitali Chakrabarti"
] | https://www.isca-archive.org/interspeech_2024/xiong24_interspeech.html | https://www.isca-archive.org/interspeech_2024/xiong24_interspeech.pdf | 10.21437/Interspeech.2024-1563 | 902-906 | @inproceedings{xiong24_interspeech,
title = {{Improving Speech-Based Dysarthria Detection using Multi-task Learning with Gradient Projection}},
author = {Yan Xiong and Visar Berisha and Julie Liss and Chaitali Chakrabarti},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {902--906},
... | Speech analytic models based on deep learning are popular in clinical diagnostics. However, constraints on clinical data collection and sharing place limits on available dataset sizes, which adversely impacts trained model performance. Multi-task learning (MTL) has been utilized to mitigate the effect of limited sample... | null | null |
chen24i_interspeech | Cascaded Transfer Learning Strategy for Cross-Domain Alzheimer's Disease Recognition through Spontaneous Speech | [
"Guanlin Chen",
"Yun Jin"
] | https://www.isca-archive.org/interspeech_2024/chen24i_interspeech.html | https://www.isca-archive.org/interspeech_2024/chen24i_interspeech.pdf | 10.21437/Interspeech.2024-627 | 907-911 | @inproceedings{chen24i_interspeech,
title = {{Cascaded Transfer Learning Strategy for Cross-Domain Alzheimer's Disease Recognition through Spontaneous Speech}},
author = {Guanlin Chen and Yun Jin},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {907--911},
doi = {10.21437/In... | In our work, we propose a cascaded transfer learning strategy for cross-domain Alzheimer’s disease (AD) recognition through spontaneous speech. This strategy cascaded a pre-trained GPT-3 model as the first-level and a Random Forest Multi-Source Discriminant Subspace Alignment (RF-MDSA) Algorithm as the second-level. Th... | null | null |
ilias24_interspeech | A Cross-Attention Layer coupled with Multimodal Fusion Methods for Recognizing Depression from Spontaneous Speech | [
"Loukas Ilias",
"Dimitris Askounis"
] | https://www.isca-archive.org/interspeech_2024/ilias24_interspeech.html | https://www.isca-archive.org/interspeech_2024/ilias24_interspeech.pdf | 10.21437/Interspeech.2024-188 | 912-916 | @inproceedings{ilias24_interspeech,
title = {{A Cross-Attention Layer coupled with Multimodal Fusion Methods for Recognizing Depression from Spontaneous Speech}},
author = {Loukas Ilias and Dimitris Askounis},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {912--916},
doi = {... | Depression is a serious mood disorder, which affects the way people feel and perform daily activities. Speech is a reliable biomarker for diagnosing depression, since depressed people present decreased verbal activity productivity and “lifeless” sounding speech. Existing methods employ unimodal models, use early, inter... | null | null |
ng24_interspeech | Segmental and Suprasegmental Speech Foundation Models for Classifying Cognitive Risk Factors: Evaluating Out-of-the-Box Performance | [
"Si-Ioi Ng",
"Lingfeng Xu",
"Kimberly D. Mueller",
"Julie Liss",
"Visar Berisha"
] | https://www.isca-archive.org/interspeech_2024/ng24_interspeech.html | https://www.isca-archive.org/interspeech_2024/ng24_interspeech.pdf | 10.21437/Interspeech.2024-2063 | 917-921 | @inproceedings{ng24_interspeech,
title = {{Segmental and Suprasegmental Speech Foundation Models for Classifying Cognitive Risk Factors: Evaluating Out-of-the-Box Performance}},
author = {Si-Ioi Ng and Lingfeng Xu and Kimberly D. Mueller and Julie Liss and Visar Berisha},
year = {2024},
booktitle = ... | Speech foundation models are remarkably successful in various consumer applications, prompting their extension to clinical use-cases. This is challenged by small clinical datasets, which precludes effective fine-tuning. We tested the efficacy of two models to classify participants by segmental (Wav2Vec2.0) and supraseg... | null | null |
papadimitriou24_interspeech | Multimodal Continuous Fingerspelling Recognition via Visual Alignment Learning | [
"Katerina Papadimitriou",
"Gerasimos Potamianos"
] | https://www.isca-archive.org/interspeech_2024/papadimitriou24_interspeech.html | https://www.isca-archive.org/interspeech_2024/papadimitriou24_interspeech.pdf | 10.21437/Interspeech.2024-1966 | 922-926 | @inproceedings{papadimitriou24_interspeech,
title = {{Multimodal Continuous Fingerspelling Recognition via Visual Alignment Learning}},
author = {Katerina Papadimitriou and Gerasimos Potamianos},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {922--926},
doi = {10.21437/Inter... | Continuous fingerspelling recognition from videos is paramount for real-time sign language (SL) interpretation, enhancing accessibility. Despite deep learning progress, challenges persist, especially in signer-independent (SI) scenarios, due to signing variability. To address these, we propose a novel bimodal approach ... | null | null |
ariasvergara24_interspeech | Contrastive Learning Approach for Assessment of Phonological Precision in Patients with Tongue Cancer Using MRI Data | [
"Tomas Arias-Vergara",
"Paula Andrea Pérez-Toro",
"Xiaofeng Liu",
"Fangxu Xing",
"Maureen Stone",
"Jiachen Zhuo",
"Jerry L. Prince",
"Maria Schuster",
"Elmar Noeth",
"Jonghye Woo",
"Andreas Maier"
] | https://www.isca-archive.org/interspeech_2024/ariasvergara24_interspeech.html | https://www.isca-archive.org/interspeech_2024/ariasvergara24_interspeech.pdf | 10.21437/Interspeech.2024-2236 | 927-931 | @inproceedings{ariasvergara24_interspeech,
title = {{Contrastive Learning Approach for Assessment of Phonological Precision in Patients with Tongue Cancer Using MRI Data}},
author = {Tomas Arias-Vergara and Paula Andrea Pérez-Toro and Xiaofeng Liu and Fangxu Xing and Maureen Stone and Jiachen Zhuo and Jerry ... | Magnetic Resonance Imaging (MRI) allows analyzing speech production by capturing high-resolution images of the dynamic processes in the vocal tract. In clinical applications, combining MRI with synchronized speech recordings leads to improved patient outcomes, especially if a phonological-based approach is used for ass... | null | null |
zhang24l_interspeech | DysArinVox: DYSphonia & DYSarthria mandARIN speech corpus | [
"Haojie Zhang",
"Tao Zhang",
"Ganjun Liu",
"Dehui Fu",
"Xiaohui Hou",
"Ying Lv"
] | https://www.isca-archive.org/interspeech_2024/zhang24l_interspeech.html | https://www.isca-archive.org/interspeech_2024/zhang24l_interspeech.pdf | 10.21437/Interspeech.2024-1452 | 932-936 | @inproceedings{zhang24l_interspeech,
title = {{DysArinVox: DYSphonia & DYSarthria mandARIN speech corpus}},
author = {Haojie Zhang and Tao Zhang and Ganjun Liu and Dehui Fu and Xiaohui Hou and Ying Lv},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {932--936},
doi = {10.2143... | This paper introduces DysArinVox, a new pathological speech corpus in Chinese. It included 173 participants from 27 healthy individuals and 146 voice disorders, whose various types and severities of vocal impairments as diagnosed by speech pathology experts via auditory perceptual evaluations and laryngoscopic imagery.... | null | null |
zhou24e_interspeech | YOLO-Stutter: End-to-end Region-Wise Speech Dysfluency Detection | [
"Xuanru Zhou",
"Anshul Kashyap",
"Steve Li",
"Ayati Sharma",
"Brittany Morin",
"David Baquirin",
"Jet Vonk",
"Zoe Ezzes",
"Zachary Miller",
"Maria Tempini",
"Jiachen Lian",
"Gopala Anumanchipalli"
] | https://www.isca-archive.org/interspeech_2024/zhou24e_interspeech.html | https://www.isca-archive.org/interspeech_2024/zhou24e_interspeech.pdf | 10.21437/Interspeech.2024-1855 | 937-941 | @inproceedings{zhou24e_interspeech,
title = {{YOLO-Stutter: End-to-end Region-Wise Speech Dysfluency Detection}},
author = {Xuanru Zhou and Anshul Kashyap and Steve Li and Ayati Sharma and Brittany Morin and David Baquirin and Jet Vonk and Zoe Ezzes and Zachary Miller and Maria Tempini and Jiachen Lian and G... | Dysfluent speech detection is the bottleneck for disordered speech analysis and spoken language learning. Current state-of-the-art models are governed by rule-based systems which lack efficiency and robustness, and are sensitive to template design. In this paper, we propose YOLO-Stutter: a first end-to-end method that ... | 2408.15297 | title_snapshot |
gosztolya24c_interspeech | Automatic Longitudinal Investigation of Multiple Sclerosis Subjects | [
"Gábor Gosztolya",
"Veronika Svindt",
"Judit Bóna",
"Ildikó Hoffmann"
] | https://www.isca-archive.org/interspeech_2024/gosztolya24c_interspeech.html | https://www.isca-archive.org/interspeech_2024/gosztolya24c_interspeech.pdf | 10.21437/Interspeech.2024-1009 | 942-946 | @inproceedings{gosztolya24c_interspeech,
title = {{Automatic Longitudinal Investigation of Multiple Sclerosis Subjects}},
author = {Gábor Gosztolya and Veronika Svindt and Judit Bóna and Ildikó Hoffmann},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {942--946},
doi = {10.21... | Multiple Sclerosis is a chronic inflammatory disease of the central nervous system. Over time, people with MS may experience significant changes in cognition, language and speech processes. In this study we investigate speech utterances recorded over the course of three years for 16 MS subjects and 12 healthy controls.... | null | null |
luz24_interspeech | Connected Speech-Based Cognitive Assessment in Chinese and English | [
"Saturnino Luz",
"Sofia De La Fuente Garcia",
"Fasih Haider",
"Davida Fromm",
"Brian MacWhinney",
"Alyssa Lanzi",
"Ya-Ning Chang",
"Chia-Ju Chou",
"Yi-Chien Liu"
] | https://www.isca-archive.org/interspeech_2024/luz24_interspeech.html | https://www.isca-archive.org/interspeech_2024/luz24_interspeech.pdf | 10.21437/Interspeech.2024-1807 | 947-951 | @inproceedings{luz24_interspeech,
title = {{Connected Speech-Based Cognitive Assessment in Chinese and English}},
author = {Saturnino Luz and Sofia {De La Fuente Garcia} and Fasih Haider and Davida Fromm and Brian MacWhinney and Alyssa Lanzi and Ya-Ning Chang and Chia-Ju Chou and Yi-Chien Liu},
year =... | We present a novel benchmark dataset and prediction tasks for investigating approaches to assess cognitive function through analysis of connected speech. The dataset consists of speech samples and clinical information for speakers of Mandarin Chinese and English with different levels of cognitive impairment as well as ... | 2406.10272 | title_snapshot |
ortizperez24_interspeech | Cognitive Insights Across Languages: Enhancing Multimodal Interview Analysis | [
"David Ortiz-Perez",
"Jose Garcia-Rodriguez",
"David Tomás"
] | https://www.isca-archive.org/interspeech_2024/ortizperez24_interspeech.html | https://www.isca-archive.org/interspeech_2024/ortizperez24_interspeech.pdf | 10.21437/Interspeech.2024-914 | 952-956 | @inproceedings{ortizperez24_interspeech,
title = {{Cognitive Insights Across Languages: Enhancing Multimodal Interview Analysis}},
author = {David Ortiz-Perez and Jose Garcia-Rodriguez and David Tomás},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {952--956},
doi = {10.2143... | Cognitive decline is a natural process that occurs as individuals age. Early diagnosis of anomalous decline is crucial for initiating professional treatment that can enhance the quality of life of those affected. To address this issue, we propose a multimodal model capable of predicting Mild Cognitive Impairment and co... | 2406.07542 | title_snapshot |
gosztolya24_interspeech | Combining Acoustic Feature Sets for Detecting Mild Cognitive Impairment in the Interspeech'24 TAUKADIAL Challenge | [
"Gábor Gosztolya",
"László Tóth"
] | https://www.isca-archive.org/interspeech_2024/gosztolya24_interspeech.html | https://www.isca-archive.org/interspeech_2024/gosztolya24_interspeech.pdf | 10.21437/Interspeech.2024-984 | 957-961 | @inproceedings{gosztolya24_interspeech,
title = {{Combining Acoustic Feature Sets for Detecting Mild Cognitive Impairment in the Interspeech'24 TAUKADIAL Challenge}},
author = {Gábor Gosztolya and László Tóth},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {957--961},
doi = ... | Shared tasks or challenges provide valuable opportunities for the machine learning community, as they offer a chance to compare the performance of machine learning approaches without peeking (due to the hidden test set). We present the approach of our team for the Interspeech'24 TAUKADIAL Challenge, where the task is t... | null | null |
duan24_interspeech | Pre-trained Feature Fusion and Matching for Mild Cognitive Impairment Detection | [
"Junwen Duan",
"Fangyuan Wei",
"Hong-Dong Li",
"Jin Liu"
] | https://www.isca-archive.org/interspeech_2024/duan24_interspeech.html | https://www.isca-archive.org/interspeech_2024/duan24_interspeech.pdf | 10.21437/Interspeech.2024-2386 | 962-966 | @inproceedings{duan24_interspeech,
title = {{Pre-trained Feature Fusion and Matching for Mild Cognitive Impairment Detection}},
author = {Junwen Duan and Fangyuan Wei and Hong-Dong Li and Jin Liu},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {962--966},
doi = {10.21437/Int... | Effective diagnosis of Mild Cognitive Impairment (MCI), a preclinical stage of cognitive decline, is significant for delaying disease progression. While most current spontaneous speech-based diagnostic methods focus on English speech, the Interspeech 2024 TAUKADIAL Challenge proposed an innovative research direction to... | null | null |
barreraaltuna24_interspeech | The Interspeech 2024 TAUKADIAL Challenge: Multilingual Mild Cognitive Impairment Detection with Multimodal Approach | [
"Benjamin Barrera-Altuna",
"Daeun Lee",
"Zaima Zarnaz",
"Jinyoung Han",
"Seungbae Kim"
] | https://www.isca-archive.org/interspeech_2024/barreraaltuna24_interspeech.html | https://www.isca-archive.org/interspeech_2024/barreraaltuna24_interspeech.pdf | 10.21437/Interspeech.2024-1352 | 967-971 | @inproceedings{barreraaltuna24_interspeech,
title = {{The Interspeech 2024 TAUKADIAL Challenge: Multilingual Mild Cognitive Impairment Detection with Multimodal Approach}},
author = {Benjamin Barrera-Altuna and Daeun Lee and Zaima Zarnaz and Jinyoung Han and Seungbae Kim},
year = {2024},
booktitle =... | Mild cognitive impairment (MCI) and dementia significantly impact millions worldwide and rank as a major cause of mortality. Since traditional diagnostic methods are often costly and result in delayed diagnoses, many efforts have been made to propose automatic detection approaches. However, most methods focus on monoli... | null | null |
favaro24_interspeech | Leveraging Universal Speech Representations for Detecting and Assessing the Severity of Mild Cognitive Impairment Across Languages | [
"Anna Favaro",
"Tianyu Cao",
"Najim Dehak",
"Laureano Moro-Velazquez"
] | https://www.isca-archive.org/interspeech_2024/favaro24_interspeech.html | https://www.isca-archive.org/interspeech_2024/favaro24_interspeech.pdf | 10.21437/Interspeech.2024-2030 | 972-976 | @inproceedings{favaro24_interspeech,
title = {{Leveraging Universal Speech Representations for Detecting and Assessing the Severity of Mild Cognitive Impairment Across Languages}},
author = {Anna Favaro and Tianyu Cao and Najim Dehak and Laureano Moro-Velazquez},
year = {2024},
booktitle = {{Intersp... | This study examines the suitability of language-agnostic features for automatically detecting Mild Cognitive Impairment (MCI) and predicting Mini-Mental State Examination (MMSE) scores in a multilingual framework. We explored two methods for feature extraction: traditional feature engineering and pre-trained feature re... | null | null |
hoang24_interspeech | Translingual Language Markers for Cognitive Assessment from Spontaneous Speech | [
"Bao Hoang",
"Yijiang Pang",
"Hiroko Dodge",
"Jiayu Zhou"
] | https://www.isca-archive.org/interspeech_2024/hoang24_interspeech.html | https://www.isca-archive.org/interspeech_2024/hoang24_interspeech.pdf | 10.21437/Interspeech.2024-1422 | 977-981 | @inproceedings{hoang24_interspeech,
title = {{Translingual Language Markers for Cognitive Assessment from Spontaneous Speech}},
author = {Bao Hoang and Yijiang Pang and Hiroko Dodge and Jiayu Zhou},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {977--981},
doi = {10.21437/In... | Mild Cognitive Impairment (MCI) is considered a prodromal stage of dementia, including Alzheimer’s disease. It is characterized by behavioral changes and decreased cognitive function, while individuals can still maintain their independence. Early detection of MCI is critical, as it allows for timely intervention, enric... | null | null |
pereztoro24_interspeech | Multilingual Speech and Language Analysis for the Assessment of Mild Cognitive Impairment: Outcomes from the Taukadial Challenge | [
"Paula Andrea Pérez-Toro",
"Tomas Arias-Vergara",
"Philipp Klumpp",
"Tobias Weise",
"Maria Schuster",
"Elmar Noeth",
"Juan Rafael Orozco-Arroyave",
"Andreas Maier"
] | https://www.isca-archive.org/interspeech_2024/pereztoro24_interspeech.html | https://www.isca-archive.org/interspeech_2024/pereztoro24_interspeech.pdf | 10.21437/Interspeech.2024-2115 | 982-986 | @inproceedings{pereztoro24_interspeech,
title = {{Multilingual Speech and Language Analysis for the Assessment of Mild Cognitive Impairment: Outcomes from the Taukadial Challenge}},
author = {Paula Andrea Pérez-Toro and Tomas Arias-Vergara and Philipp Klumpp and Tobias Weise and Maria Schuster and Elmar Noet... | Cognitive decline, a hallmark of several neurological conditions, including dementia and Alzheimer's disease, often manifests in noticeable changes in speech patterns and language use. Speech analysis in this context can serve as a valuable tool for early detection and monitoring of cognitive impairment. In this paper,... | null | null |
tuttosi24_interspeech | Mmm whatcha say? Uncovering distal and proximal context effects in first and second-language word perception using psychophysical reverse correlation | [
"Paige Tuttösí",
"H. Henny Yeung",
"Yue Wang",
"Fenqi Wang",
"Guillaume Denis",
"Jean-Julien Aucouturier",
"Angelica Lim"
] | https://www.isca-archive.org/interspeech_2024/tuttosi24_interspeech.html | https://www.isca-archive.org/interspeech_2024/tuttosi24_interspeech.pdf | 10.21437/Interspeech.2024-1296 | 1010-1014 | @inproceedings{tuttosi24_interspeech,
title = {{Mmm whatcha say? Uncovering distal and proximal context effects in first and second-language word perception using psychophysical reverse correlation}},
author = {Paige Tuttösí and H. Henny Yeung and Yue Wang and Fenqi Wang and Guillaume Denis and Jean-Julien A... | Acoustic context effects, where surrounding changes in pitch, rate or timbre influence the perception of a sound, are well documented in speech perception, but how they interact with lan- guage background remains unclear. Using a reverse-correlation approach, we systematically varied the pitch and speech rate in phrase... | 2406.05515 | title_snapshot |
popescu24_interspeech | Automatic Speech Recognition with parallel L1 and L2 acoustic phone models to evaluate /l/ allophony in L2 English speech production | [
"Anisia Popescu",
"Lori Lamel",
"Ioana Vasilescu",
"Laurence Devillers"
] | https://www.isca-archive.org/interspeech_2024/popescu24_interspeech.html | https://www.isca-archive.org/interspeech_2024/popescu24_interspeech.pdf | 10.21437/Interspeech.2024-1014 | 1015-1019 | @inproceedings{popescu24_interspeech,
title = {{Automatic Speech Recognition with parallel L1 and L2 acoustic phone models to evaluate /l/ allophony in L2 English speech production}},
author = {Anisia Popescu and Lori Lamel and Ioana Vasilescu and Laurence Devillers},
year = {2024},
booktitle = {{In... | The acoustic and articulatory characteristics of the syllable position lateral allophony in English (clear /l/ in onsets vs. dark /l/ in codas) have been well documented. The present study tests whether speech technology derived methods can be used to evaluate lateral allophony in L2 English production, by combining cl... | null | null |
huang24i_interspeech | Analysis of articulatory setting for L1 and L2 English speakers using MRI data | [
"Kevin Huang",
"Jack Goldberg",
"Louis Goldstein",
"Shrikanth Narayanan"
] | https://www.isca-archive.org/interspeech_2024/huang24i_interspeech.html | https://www.isca-archive.org/interspeech_2024/huang24i_interspeech.pdf | 10.21437/Interspeech.2024-2175 | 1020-1024 | @inproceedings{huang24i_interspeech,
title = {{Analysis of articulatory setting for L1 and L2 English speakers using MRI data}},
author = {Kevin Huang and Jack Goldberg and Louis Goldstein and Shrikanth Narayanan},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {1020--1024},
doi ... | This paper investigates the extent to which the geographical region (country) where a speaker acquired their English language affects the articulatory setting in their speech. To obtain accurate measurements for evaluating articulatory setting, we utilized a large real-time MRI corpus of vocal tract articulation. The c... | null | null |
colgiu24_interspeech | Bilingual Rhotic Production Patterns: A Generational Comparison of Spanish-English Bilingual Speakers in Canada | [
"Ioana Colgiu",
"Laura Spinu",
"Rajiv Rao",
"Yasaman Rafat"
] | https://www.isca-archive.org/interspeech_2024/colgiu24_interspeech.html | https://www.isca-archive.org/interspeech_2024/colgiu24_interspeech.pdf | 10.21437/Interspeech.2024-2287 | 1025-1029 | @inproceedings{colgiu24_interspeech,
title = {{Bilingual Rhotic Production Patterns: A Generational Comparison of Spanish-English Bilingual Speakers in Canada}},
author = {Ioana Colgiu and Laura Spinu and Rajiv Rao and Yasaman Rafat},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = {1... | This paper considers the differences in producing the acoustic correlates of the phonemic alveolar tap /ɾ/, phonemic canonical trill /r/, and alveolar approximant /ɹ/ in two groups of Spanish-English bilinguals: early (heritage Spanish) and late (native Spanish) bilingual speakers. In particular, the study explores cro... | null | null |
coulange24_interspeech | Exploring Impact of Pausing and Lexical Stress Patterns on L2 English Comprehensibility in Real Time | [
"Sylvain Coulange",
"Tsuneo Kato",
"Solange Rossato",
"Monica Masperi"
] | https://www.isca-archive.org/interspeech_2024/coulange24_interspeech.html | https://www.isca-archive.org/interspeech_2024/coulange24_interspeech.pdf | 10.21437/Interspeech.2024-1627 | 1030-1034 | @inproceedings{coulange24_interspeech,
title = {{Exploring Impact of Pausing and Lexical Stress Patterns on L2 English Comprehensibility in Real Time}},
author = {Sylvain Coulange and Tsuneo Kato and Solange Rossato and Monica Masperi},
year = {2024},
booktitle = {{Interspeech 2024}},
pages = ... | A significant obstacle to effective L2 English speech lies in the inappropriate use of pauses and lexical stress. We observed the impact of pauses within phrases (WP) and incorrectly stressed words on real-time perceived comprehensibility. Sixty native English listeners were asked, while listening to short recordings o... | null | null |
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