Running
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CrisperWhisper 2.0 Controllable ASR
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Verbatim + intended transcripts with word-level timing
AI & ML interests
Speech intelligence
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Papers
Transcription Policy as a Latent Variable: Activating Controllable Verbatim ASR with Word-Level Timing
Content is What Remains: Invariant Speech Tokenization from Parallel Utterances
Organization Card
Speech carries more than words. nyra labs, the research lab of nyra health, builds open speech models that preserve what was said and measure when, who, and how - so real human speech can be understood in full.
models 10
nyralabs/CrisperWhisper2.0_small
Automatic Speech Recognition • 0.2B • Updated • 2.12k • 7
nyralabs/CrisperWhisper2.0_medium
Automatic Speech Recognition • 0.8B • Updated • 2.68k
nyralabs/CrisperWhisper2.0_turbo
Automatic Speech Recognition • 0.8B • Updated • 3.74k • 4
nyralabs/CrisperWhisper2.0_large
Automatic Speech Recognition • 2B • Updated • 8.55k • 91
nyralabs/CrisperWhisper2.0_small_pro
0.2B • Updated • 3
nyralabs/CrisperWhisper2.0_medium_pro
0.8B • Updated • 2
nyralabs/CrisperWhisper2.0_turbo_pro
0.8B • Updated • 4 • 3
nyralabs/CrisperWhisper2.0_large_pro
2B • Updated • 43 • 15
nyralabs/CrisperWhisper
Automatic Speech Recognition • 2B • Updated • 26.6k • 341
nyralabs/faster_CrisperWhisper
Updated • 480 • 24