changes in trim_silence function regarding the agressive trimming issue

[amoljagadambe]

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Description

update the trimming function using rolling windows to create the mask around the signal {“fixes #{35}”}

If needed follow up with as much detail as required.

Type of PR

• [ ] Bugfix
• [ ] Feature implementation
• [ *] Refactor of code (without functional changes)
• [ ] Documentation improvements
• [ ] Test improvements

Documentation

The most important and tweakable part is threshold_value do play around with the value to get your desired trimming

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[amoljagadambe]

I think you above statement is right NumPy and pandas are adding stress into the alpine version of python. meanwhile, I am also working on a different approach which is less heavy and computationally efficient

[amoljagadambe]

above approach also need some tweak in dockerfile

[amoljagadambe]

'ffmpeg -i {} -ab 160k -ac 2 -ar 44100 -vn {}.wav -y'.format( webm_file_name, path )

why are we using 2 channels while saving the file

[krisgesling]

Hey, glad that you're finding the project helpful and able to modify it to fit your use case.

The removal of all silence makes more sense now as it seems you're recording single words rather than whole sentences.

It feels like these changes would be well suited to be configuration options set in the docker-compose.yaml eg:

• stereo vs mono
• remove all silence vs trim start and finish