Python notebooks for fundamentals of music processing

https://www.audiolabs-erlangen.de/resources/MIR/FMP/C0/C0.html

by yeknoda • 2 years ago

277 17 2 years ago

audiolabs-erlangen.de

gtsnexp• 2 years ago

It is also helpful in the context of other signal types Good reference

chaosprint3• 2 years ago

this one can also be helpful: https://allendowney.github.io/ThinkDSP/

westurner3• 2 years ago

Additional Open Source Music and Sound Production tools:

"Raspberry Pi for Dummies" has chapters on SonicPi and PyGame.

SonicPi is a live coding environment for music creation and instruction. Like ChucK IIUC

It looks like PyGame has pygame.mixer, which is built on SDL's mixer.

The Godot game engine supports Audio Effects: https://docs.godotengine.org/en/stable/tutorials/audio/audio...

BespokeSynth has a "script" module that supports Python for synthesizing notes and chords and also for transforming audio streams: https://github.com/BespokeSynth/BespokeSynth/blob/main/resou... ( https://github.com/BespokeSynth/BespokeSynth/blob/main/bespo... )

AllenDowney/ThinkDSP notebooks reference NumPy, freesound,: https://github.com/AllenDowney/ThinkDSP

chaosprint3• 2 years ago

My most recommended method for beginners has always been PD (https://puredata.info/) combined with The Theory and Technique of Electronic Music: (https://msp.ucsd.edu/techniques/latest/book.pdf) and this book (https://mitpress.mit.edu/9780262014410/designing-sound/).

Eli's tutorials on SuperCollider are also very helpful: https://www.youtube.com/@elifieldsteel

Of course, you can have a look at my project Glicol that can also be helpful for people to get some intuition on live coding in browsers immediately: https://glicol.org/

fredrb• 2 years ago

I picked this up as a first reference as someone who had no knowledge in DSP and it was an absolute gem. Really helped with the mental model for sound processing. This repository has some amazing resources too: https://github.com/BillyDM/Awesome-Audio-DSP

a-dub• 2 years ago

see also dan ellis' webpages at columbia and the most excellent librosa.

ragnardan• 2 years ago

Good stuff, thanks

jononor2• 2 years ago

This is one of the best resources out there for audio DSP+ML. While it is focused on music, it is also highly relevant to other audio such as speech environmental sounds etc.

segfaultnotmine• 2 years ago

is this good for someone with no music knowledge but loves programming and want to learn about audio and sound generation?

jononor2• 2 years ago

This is primarily about analysis of music/sound, and almost nothing about sound synthesis. But apart from that, yes.

zelphirkalt• 2 years ago

What are good resources for sound synthesis?

A while ago I started a repository, in which I wrote code to write a riff-wave file with a sine wave in it. My idea is: "All sound is, is waves. Incredibly many overlapping waves maybe, but waves. Using functions I should be able to implement things like fade-in, fade-out, increase frequency, etc, that I usually do using Audacity. And then I should be able to make small command line tools out of those and do fun effects on wave files."

Perhaps my thoughts are naive, as I have no background in sound/music theory and probably lack some fundamental mathematics for sound, but: What would be a good book to get more into this sound synthesis stuff, as a software engineer?

kitchi• 2 years ago

Is there a good resource to learn about digital audio processing algorithms, like compression, reverbs etc?

Python notebooks for fundamentals of music processing

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