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Ask HN: Machine learning resources for audio processing

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Re: Ask HN: Machine learning resources for audio processing

#11
The folks behind audio set have been working on general audio event detection for some years now, I believe.

https://research.google.com/audioset/

There's a huge amount to discuss in the audio domain... But for a starting place, using ResNet on spectrograms to build a binary classifier is a good place to start.

Re: Ask HN: Machine learning resources for audio processing

#15

aubio and librosa are two excellent MIR (music information retrieval) tools I can recommend from personal use. They can both be implemented for real-time audio using pyaudio or similar. https://aubio.org/doc/latest/ https://librosa.github.io/librosa/

To append to my own comment, something I haven't tried myself yet but I'm planning to: Urban Sound Classification with Neural Networks in Tensorflow

https://www.kdnuggets.com/2016/09/urban-sound-classification...

Re: Ask HN: Machine learning resources for audio processing

#19

I don't know if this is off topic but would it be possible to remove the sound of mechanical keyboards with ML in realtime from a VOIP stream? Sell the technology to Discord and profit.

Is this a big problem? I thought people loved mechanical keyboard sounds.

Re: Ask HN: Machine learning resources for audio processing

#20

I don't know if this is off topic but would it be possible to remove the sound of mechanical keyboards with ML in realtime from a VOIP stream? Sell the technology to Discord and profit.

Is this a big problem? I thought people loved mechanical keyboard sounds.

People love their own, I'm sure. I've never met anybody who puts on a tape of it, though.
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