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nyrahealth/CrisperWhisper

Automatic Speech Recognition·nyrahealth· 55.2K· 335
transformers cc-by-nc-4.0 Automatic Speech Recognition 1.6B params arxiv:2408.16589arxiv:2110.13900base_model:openai/whisper-large-v3base_model:finetune:openai/whisper-large-v3license:cc-by-nc-4.0

CrisperWhisper is an advanced variant of OpenAI's Whisper, designed for fast, precise, and verbatim speech recognition with accurate (crisp) word-level timestamps. Unlike the original Whisper, which tends to omit disfluencies and follows more of a intended transcription style, CrisperWhisper aims to transcribe every spoken word exactly as it is, including fillers, pauses, stutters and false starts

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# pull & run locally
pip install mlforge-sdk && mlforge pull nyrahealth/CrisperWhisper

Model details

Task
Automatic Speech Recognition
Provider
nyrahealth
Framework
transformers
Parameters
1.6B
Size
7.4 GB
License
cc-by-nc-4.0
Downloads
55.2K
Likes
335
Paper
arXiv:2408.16589
Updated
2026-04-07

About nyrahealth/CrisperWhisper

CrisperWhisper is an advanced variant of OpenAI's Whisper, designed for fast, precise, and verbatim speech recognition with accurate (crisp) word-level timestamps. Unlike the original Whisper, which tends to omit disfluencies and follows more of a intended transcription style, CrisperWhisper aims to transcribe every spoken word exactly as it is, including fillers, pauses, stutters and false starts. Checkout our repo for more details: https://github.com/nyrahealth/CrisperWhisper

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