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we are currently working with pyannote to transcribe dialogues of two to three people. However, I noticed that small "single-word-sentences" like "yes" or "I see" are neglected by pyannote. Thus, I would like to ask you whether there is the option to optimise the hyper parameters of pyannote in order to get a higher sensitivity. We currently use the command:
Tested versions
Reproducible in 3.1.1
System information
Ubuntu 23.04, Intel i7; MacOS 13.6, M3
Issue description
Dear pyannote-developers,
we are currently working with pyannote to transcribe dialogues of two to three people. However, I noticed that small "single-word-sentences" like "yes" or "I see" are neglected by pyannote. Thus, I would like to ask you whether there is the option to optimise the hyper parameters of pyannote in order to get a higher sensitivity. We currently use the command:
pipeline = Pipeline.from_pretrained('pyannote/speaker-diarization-3.1', use_auth_token=authorization_token)
diarization = pipeline(audio_file_path)
Thank you very much!
Best
Christian
Minimal reproduction example (MRE)
See above
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