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- ---
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- license: cc-by-nc-4.0
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- language:
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- - de
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- - en
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- base_model: openai/whisper-large-v3
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- metrics:
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- - cer
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- - wer
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- pipeline_tag: automatic-speech-recognition
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- library_name: transformers
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- ---
 
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  # CrisperWhisper
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  **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/blob/develop/README.md
 
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+ ---
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+ license: cc-by-nc-4.0
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+ language:
4
+ - de
5
+ - en
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+ - pt
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+ base_model: openai/whisper-large-v3
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+ metrics:
9
+ - cer
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+ - wer
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+ pipeline_tag: automatic-speech-recognition
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+ library_name: transformers
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+ ---
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  # CrisperWhisper
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  **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/blob/develop/README.md