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I analyzed speaker_diarization and I noticed something that makes me wonder.
Why predictions from knn_speaker_10 and knn_speaker_male_female are not used in clustering?
K-means use only part of fe…
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I run simple test on small audio with 2 speakers.
`from pyAudioAnalysis import audioSegmentation as AS
AS.speaker_diarization(filename='data/test_2.wav', n_speakers=2, plot_res=True)`
It give me …
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I went through some files (audioAnalysis.py, audioSegmentation.py) and as far i understand diarization feature is implemented only for more than 1 speaker (basically this is implemented assuming # of …
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It seems that when use speaker diarization with unknown number of speakers(parameter 0). The script doesn't even consider a case which there is only one speaker in that segment. I can understand that …
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Hi, I am able to use the speaker diarization now and it is running good and produces results. But the results aren't accurate. I have an example wav file with only 1 speaker talking inside and when I …
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Hi, this work is really interesting. I would like to ask two informations...
Is it possible to realize a speaker diarization like this in real time? Hence, for example, while many people are speaki…
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Deploy Speaker Diarization(UIS-RNN) with django & Debugging
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### Tested versions
latest version 3.1
### System information
windows 11, amd 5950x cpu, ubuntu 20.04 python 3.9 latest pyannote 3.1
### Issue description
CPU at 10%, both Nvidia rtx308…
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Hi,
When I diarize with pyannote it is better diarize but whisperx assume they are the same person n soma audio.
But whisperx also using pyannote how this could be. ?
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Running diarization is extremely slow.
I have NVIDIA 3060 with 12GB VRAM
It looks like it is using the `pyannote `default `embedding_batch_size: 32`
If I run it locally, offline, where I can ed…