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Hi!
I'm using the following command:
`insanely-fast-whisper --file-name intro.mp3 --language en`
And I get an output.json which looks like this:
`{
"speakers": [],
"chunks": [{
…
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Can someone guide me on how to incorporate speaker diarization into a transcription model?
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I think it would be great to be able to leverage WhisperX and speaker diarization. Any plans to do this?
https://github.com/m-bain/whisperX
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Maybe this is not an issue but a design decision but when choosing --diarize, it seems that only output on the screen is being diarized, while output files do not contain the "(Speaker X)" prefix.
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Dsnote is great for STT by using whisper. For audio samples with different persons speaking, e.g. podcasts, movies …, one ends up with a messy text because Whisper doesn’t do what’s called ‘speaker di…
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@kadirnar
I have received the following error when running the diarization pipeline:
```python
ValueError: attempt to get argmin of an empty sequence
```
I ran the diarization example exactl…
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## Goal
Provide speaker labels along with the transcriptions (eg. `Speaker1: ...`, `Speaker2: ...`)
Do it in the same time when transcribing efficient and lightweight.
## Research
https://gi…
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Diarizing a 20 minutes of audio is taking roughly 45 seconds time. Could you please let me know if the optimizations of insanely-fast-whisper focused just on whisper or we are planning to add some opt…
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I have a working application with real-time transcription feature based on **faster-whisper**.
However, after applying **diart** pipeline to my existing application, I get transcription with no diari…
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# Task Name
Speaker Diarization with ASR
[Description]: To do multi-speaker ASR where each speeches may have overlap.
## Task Objective
Most of the time, we do ASR on audio with only one main sp…