overtone
ThinkDSP
| overtone | ThinkDSP | |
|---|---|---|
| 33 | 18 | |
| 6,183 | 4,553 | |
| 0.1% | 0.7% | |
| 3.2 | 0.0 | |
| 5 months ago | 4 months ago | |
| Clojure | Jupyter Notebook | |
| GNU General Public License v3.0 or later | - |
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overtone
- Supercollider
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Strudel REPL – a music live coding environment living in the browser
When I last played with SuperCollider I used Overtone, that wraps everything in a Closure API. With that you use s-expressions instead of sclang to define your sounds. I am not sure what the state of Overtone is these days, but there seems to still be some activity: https://overtone.github.io/
- Ask HN: Who Are Your Favorite Photography and Generative Coding Artists?
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Algorithmic Music Generation with Python
Overtone is the state of the art if you like Lisp https://github.com/overtone/overtone
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Sndkit – a toolkit for computer music composition
https://clojure.org/guides/threading_macros
Incidentally, for making music with Clojure there's Overtone: https://github.com/overtone/overtone
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Synth wars: The story of MIDI (2023)
> Midi being an “artist” tool places it more as a medium like paint.
I’ve used MIDI “as paint”.
Written music using code to MIDI(1), and wrote “cross instrument” music, ie using my keyboard as drum machine.
But these days MIDI is chiefly an archival method for me.
Every time I touch my keyboard is recorded, is much smaller than a comparable audio recording, by design “forced fidelity” in the recording, and I am able to pipe the MIDI format through transcription software (which would be near impossible from an audio recording today).
(1) http://overtone.github.io/
- My Sixth Year as a Bootstrapped Founder
- Linux Audio Primer (for Overtone users)
- Overtone – programmable, live music in Clojure
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Lisp for audio programming
I've never actually used it myself. I've preferred systems that talk to SuperCollider, like overtone, because it's already rock solid and has lots of good DSP built in.
ThinkDSP
- AIM Weekly for 10 June 2024
- Python Notebooks for Fundamentals of Music Processing
- Think DSP Is an Introduction to Digital Signal Processing in Python
- How can I learn Digital Signal Processing fully ?
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Software skills
There's a free book online called Think DSP that teaches you how to design and visualize filters in Python: https://greenteapress.com/wp/think-dsp/
- Think DSP: An Introduction to Digital Signal Processing in Python
- What programming environment do you recommend for implementing some DSP theory?
- What resource do you suggest to learn DSP from for embedded applications?
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Fourier Series Visualisation with D3
https://greenteapress.com/wp/think-dsp/
It can be bought, but is available for free. Code is also available via GitHub. It uses Python and Jupyter.
"The premise of this book (and the other books in the Think X series) is that if you know how to program, you can use that skill to learn other things. I am writing this book because I think the conventional approach to digital signal processing is backward: most books (and the classes that use them) present the material bottom-up, starting with mathematical abstractions like phasors."
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Mathematical Python project ideas that are not ML
How about Think DSP: Digital Signal Processing in Python - https://github.com/AllenDowney/ThinkDSP
What are some alternatives?
Sonic Pi - Code. Music. Live.
thinkdsp
scheme-for-max - Max/MSP external for scripting and live coding Max with s7 Scheme Lisp
introtodeeplearning - Lab Materials for MIT 6.S191: Introduction to Deep Learning
MuseScore - MuseScore is an open source and free music notation software. For support, contribution, bug reports, visit MuseScore.org. Fork and make pull requests!
gen-rack - Create VCV Rack modules from gen~ exports