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This feature would be helpful only on large GPUs with the diarization model on a separate GPU.
Currently, transcribing an audio file takes approximately 6GB of VRAM, and the rest of the GPU is used…
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When I was running the demo,it cant run on GPU correctly. I try to use *pipeline = pipeline.to(devices)*,but it raise *AttributeError(msg) AttributeError: 'VoiceActivityDetection' object has no attr…
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The hyperparameter tuning recipe in v3.0 does not seem to be as effective as the recipe given for v1.0.
In v1.0, we are told to invoke on the command line a command of the form:
pyannote-pipelin…
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the install for whisper-diarization references faster-whisper 0.10.0 but it no longer exists and has been replaced by 0.10.1, causing the whisper-diarization install to fail
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Maybe related to the new version of whisperx, but running whisper-diarization results in the following error:
```
Traceback (most recent call last):
File "/whisper-diarization/diarize.py", line…
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Could be interesting to include diarization support, so the LLM has the context of multiple speakers and which parts are spoken by who. I know deepgram already supports this in their transcription tho…
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There is a WIP dir under services for diarizer that is mostly a copy of the transcriber service. We need to pull the code from `cmd/minibridge/diarize` and set it up as a web service. It also needs a …
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I felt like if there is an option to edit the text what the speaker said would be a good feature. sometimes it is unable to transcribe some words properly.
I also think not only listening to the s…
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Hi @hbredin, as per https://huggingface.co/pyannote/segmentation-3.0, model ingests 10 seconds. of audio. For detecting speaker-change at inference time within a given audio chunk of 10 seconds, would…
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Encapsulate the following code into an interface:
![image](https://github.com/pyannote/pyannote-audio/assets/22997054/dae85657-b408-4c61-a56f-c4b0460b2529)
The error message is as follows:
![…