koljab / whospeaks Goto Github PK

Hey i tried to run this on colab and i get 3 kind of errors,
When split_dataset.py is run:
ImportError: cannot import name 'multilingual_cleaners' from 'cleaner' (/usr/local/lib/python3.10/dist-packages/cleaner/init.py)

so i remove it then i run it again and i get this
TypeError: DecodingOptions.init() got an unexpected keyword argument 'word_timestamps'

When auto_diarize is run:
Loading TTS model
Traceback (most recent call last):
File "/content/WhoSpeaks/auto_diarize.py", line 25, in
checkpoint = os.path.join(local_models_path, "v2.0.2")
File "/usr/lib/python3.10/posixpath.py", line 76, in join
a = os.fspath(a)
TypeError: expected str, bytes or os.PathLike object, not NoneType

Here is the colab you can edit it , run it by GPU
https://colab.research.google.com/drive/1Odmp1RCTvoWw25R8Du8Nl5n6J-jW3FXk?usp=sharing

Hey @KoljaB , I have tried this tool and it is surprisingly really good. It outperformed pyannote for sure.
But I'm really wondering how it can be pushed for 10+ speakers or so. It would be really useful in creating datasets for long audio with 10+ speakers.