Audio transcription is one of the most useful use cases for journalists (and many other professions!). 
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Audio transcription is one of the most useful use cases for journalists (and many other professions!). 
@sergeipetrov
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sergeipetrov
, 
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, 
@reach-vb
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reach-vb
, 
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, 
@pcuenq
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pcuenq
, and 
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, and 
@philschmid
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philschmid
 have created an optimized Whisper with Speaker Diarization for 
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 have created an optimized Whisper with Speaker Diarization for 
@huggingface
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huggingface
 Inference Endpoints—definitely worth a read!
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 Inference Endpoints—definitely worth a read!
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new_line
Check out their blog post here: 
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Check out their blog post here: 
https://huggingface.co/blog/asr-diarization
https://huggingface.co/blog/asr-diarization
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You can find the notebook here: 
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You can find the notebook here: 
https://huggingface.co/sergeipetrov/asrdiarization-handler/blob/main/handler.py
sergeipetrov/asrdiarization-handler
model
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https://huggingface.co/sergeipetrov/asrdiarization-handler/blob/main/handler.py
Audio transcription is one of the most useful use cases for journalists (and many other professions!). @sergeipetrov, @reach-vb, @pcuenq, and @philschmid have created an optimized Whisper with Speaker Diarization for @huggingface Inference Endpoints—definitely worth a read!

Check out their blog post here: https://huggingface.co/blog/asr-diarization

You can find the notebook here: https://huggingface.co/sergeipetrov/asrdiarization-handler/blob/main/handler.py
👍
Aaron2465 BrigitteTousi