how to remove silence periods from wav file in python?

Question

I have a conversation in wav file (customer service) I split it to 2 audio channels. Now I have 2 wav files and each person is speaking and it has silence periods. I need to cut out those silent periods to "compress" all one's persons words in shorter file.

I googled and found this link. It has this code:

def addFrameWithTransition(self, image_file, audio_file, transition_file): media_info = MediaInfo.parse(transition_file) duration_in_ms = media_info.tracks[0].duration audio_file = audio_file.replace("\\", "/") try: audio_clip = AudioSegment.from_wav(r"%s"%audio_file) f = sf.SoundFile(r"%s"%audio_file) except Exception as e: print(e) audio_clip = AudioSegment.from_wav("%s/pause.wav" % settings.assetPath) f = sf.SoundFile("%s/pause.wav" % settings.assetPath) duration = (len(f) / f.samplerate) audio_clip_with_pause = audio_clip self.imageframes.append(image_file) self.audiofiles.append(audio_clip_with_pause) self.durations.append(duration) self.transitions.append((transition_file, len(self.imageframes) - 1, duration_in_ms / 1000))

But it needs some kind of 'image file'. any other options?

How do you define silence? Is it period without ANY sound below certain threshold or lack of voice? — Lukasz Tracewski
– Lukasz Tracewski, Commented Apr 10, 2020 at 20:12
github.com/pradbajaj/bothoven/blob/master/sound.py. This is for detecting silence and taking those part where the sound is and finding the frequency nodes — Pygirl
– Pygirl, Commented Apr 21, 2020 at 2:19

ERJAN · Accepted Answer · 2020-04-10 20:34:40Z

i found a small vad.py file that splits a conversation into two and actually compresses each voice track. In the end you will have 2 wav files with only 1 person speaking.

https://github.com/mauriciovander/silence-removal/blob/master/vad.py

works like this:

python vad name_of_new_file.wav

The code you shared is not, despite the name, voice activity detector (VAD). It's a crude "activity" detector that will be triggered by any noise, not just voice, that goes beyond threshold.

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