HN Explorer

Ask HN: Machine learning resources for audio processing

252 points by samrohn ↗ HN
What are some good learning resources on audio processing, detection and anomaly detection using machine learning or deep learning? I am interested in machine predictive maintenance using audio anomaly detection

29 comments

[ 3.1 ms ] story [ 73.9 ms ] thread
bjourne
See this book and the sources it links to: https://musicinformationretrieval.com/ Also google for pitch and onset detection. If you want more specific help, you have to ask a more specific question.
inetsee
It sounds as if he's looking for tools that can be used to monitor the sounds coming from machinery to detect or predict impending failures. I found your link interesting since I'm interested in musical applications of machine learning, but I don't think it's what he's looking for.
bjourne
MIR is where the research is at. Not nearly as much work has been done in the general audio IR domain. But most methods are easily transferable. E.g tempo estimation would perhaps serve his anomaly detection needs.
telesilla
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/

[deleted]
(comment deleted)
sdenton4
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.

Tangokat
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.
alphagrep12345
Is this a big problem? I thought people loved mechanical keyboard sounds.
wpietri
People love their own, I'm sure. I've never met anybody who puts on a tape of it, though.
tsumnia
In some of my early YouTube videos (for classes I taught), I would live code. One complaint one of my students had was while they loved the videos, the key strokes were distracting.
[dead] colin_fraizer
Is anyone working on removing underscoring—by which I mean background music, not underlining—from video with dialogue?
jamesb93
This depends if you're interested in creative applications or analytical (MIR) ones. The two fields share a lot of techniques, but the way they are used is wildly different.
iagooar
Contact the founder / maker of Auphonic.com - he's a super nice and clever guy who does this kind of stuff for a living. He'll definitely point you into the right direction.
[dead] dcdulin
anyone have resources on generative electronic music? there's a lot on Piano, but I find the diverse nature of electronic music both alluring and difficult to train on
konsoleXD
I am also curious about this topic! I have picked up a jetson nano and fully intend to put this device to use by projecting comic-book panel-style speech bubbles (plus, who knows... random panels?) on the wall leveraging pytorch + deepspeech.

That's at least the idea kicking around in my head at the moment. https://github.com/SeanNaren/deepspeech.pytorch

I'm no expert. Haven't done it. Don't really want to send every convo into the cloud or my tinfoil hat will start burning.

You do not need a jetson to get started investigating. Maybe just nvidia for that particular library. If you find something, maybe you can let me know somehow.

Peace

enisberk
I am taking a course called "Speech and Audio Understanding" from Prof. Michael I Mandel, you can check course website[1] , he has a good collection of resources. Also his github stars are good collection of related projects[2]. In class we are using a book called "Human and Machine Hearing: Extracting Meaning from Sound" by Richard F. Lyon, authors shares it for free [3] For example one of the resources you will see on the course website is presentations from interspeech2018, you can check all tutorials from there[4].

[1] http://mr-pc.org/t/csc83060/

[2] https://github.com/mim?tab=stars

[3] http://dicklyon.com/hmh/Lyon_Hearing_book_01jan2018.pdf

[4] http://interspeech2018.org/program-tutorials.html

contingencies
Recently I started looking in to this as a backup method of anomaly detection while performing automated testing of our robotics. I concluded that it's actually pretty easy. Depending upon how simplistic your requirements, you can even achieve this cheaply and effectively on a very tiny microprocessor with an attached surface mount MEMS microphone. Additional features like anomalous audio recording, timestamping and alert transmission are not that hard either. No need for a fully-fledged general purpose operating system, or complex algorithms.