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I am not sure if i am missing something. I followed the documentation in how to load a pipeline for speaker diarization offline.
i followed this description:
https://github.com/pyannote/pyannote-a…
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First off, thank you for your fantastic work here. I am working on a project where I aim to translate and dub YouTube live streams almost in real-time. I've managed to achieve a delay of 3 minutes, bu…
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### Tested versions
```
pyannote.audio==3.1.1
pyannote.core==5.0.0
pyannote.database==5.0.1
pyannote.metrics==3.2.1
pyannote.pipeline==3.0.1
```
### System information
Ubuntu 22.04, NVIDIA RT…
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code:
-----------------------------------------------------------------------------------------------------------
diarize_model = whisperx.DiarizationPipeline(use_auth_token=YOUR_HF_TOKEN, device=de…
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Logic will be to combine Whisper + pyannote.audio based on timestamps to output something along the lines of:
```
Person A: Hi
Person B: Hello, how are you
Person A: I'm good, and you?
....
```
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@taylorlu, I would like to appreciate your effort for this repo! I have a small doubt though while trying the Speaker Diarization for .wav file with 2 speakers, I am getting output for 4 different spe…
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Hello!
Thank you @taylorlu for all your work here, first off.
I'm working to get a handle on speaker diarization, and wanted to know if you had an idea of what might be involved in getting this …
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### Tested versions
- pyannote-audio 3.1.1
### System information
windows 10 - pyannote.3.1.1 - rtx 3070
### Issue description
Diarization taking much longer than it should, using the progress ho…
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Hi,
I am trying to run a pipeline to extract embeddings
The pipeline I am running is the one in the README:
```
import rx.operators as ops
import diart.operators as dops
from diart.source…
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I am currently working on a speaker diarization task for classroom discussions without labeled data. To assess the pipeline's performance, I rely on two methods: listening manually and using intrinsic…