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resemble-ai / Resemblyzer

A python package to analyze and compare voices with deep learning
Apache License 2.0
2.79k stars 429 forks source link

trimmed at the end #45

Open RawadMelhem opened 3 years ago

RawadMelhem commented 3 years ago

Hi, thank you very much, the project is very interesting. I have a problem, I've got always diarized speech trimmed from the end, sometimes it is cut more than 10 seconds. for example: total duration of audio file = 27s, the result ends at 16s total duration of audio file = 45s, the result ends at 30s I am using sample rate 16k. I appreciate any help. Rawad

steffiand commented 3 years ago

Hi, I am facing a similar problem. Due to trimming of silence, the mapping of the output prediction to the original audio sample becomes difficult because of the difference in time mapping. Is it possible to include silence in the final output? This will make the process of mapping easier.

bishwaraj13 commented 3 years ago

Hi @steffi25 and @RawadMelhem , did you manage to find fix to this issue? I too am facing the same issue.

RawadMelhem commented 3 years ago

It is solved. You can take the object "wav" before diarization process, which is the audio file without silence. wav object is the output of wav_preprocessing method.