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### Describe the feature
Hi whiteeagle, I have another request. Is it possible to implement pyannote for speaker diarization instead of Sherpa-ONNX? I saw mention of this in other contexts, but compa…
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Is it possible to enable CUDA for diarization? It would mean a sizable speedup for that step.
Trying to set --onnx-provider to cuda gives the following message:
`D:\a\sherpa-onnx\sherpa-onnx\sherp…
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I am having a lot of trouble with speaker diarization across lots of different platforms and models.
```toml
[target.'cfg(any(windows, target_os = "linux"))'.dependencies]
sherpa-rs = { version =…
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I’m currently using Buzz for transcribing interviews with multiple speakers. However, I’ve noticed that the transcription doesn’t differentiate between different voices or speakers in the audio. Is sp…
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> Speaker diarization is the process of partitioning an audio stream into homogeneous segments according to the speaker identity.
Try to use pyannote to accomplish this. Try to download the entiret…
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I recently tried to transcribe and diarize a meeting with six people. The transcription is spot-on, but there are a lot of misidentification issues in the diarization. For instance, this is two differ…
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My task combines both speaker diarization and speaker identification.
Since speaker embeddings are extracted during diarization anyway, it would be fantastic if the user could extract speaker embed…
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First, thanks for creating such an excellent tool!
I was wondering if there are any plans to add support for speaker diarization when using plugins (e.g., [Google](https://cloud.google.com/speech-t…