ThinkDSP
Sonic Pi
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ThinkDSP | Sonic Pi | |
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14 | 111 | |
3,724 | 10,507 | |
- | 0.9% | |
5.4 | 8.8 | |
5 months ago | 11 days ago | |
Jupyter Notebook | C++ | |
- | GNU General Public License v3.0 or later |
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ThinkDSP
- 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
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C++ for numerical programming
My application is signal processing and tried to reproduce parts of https://github.com/AllenDowney/ThinkDSP in C++. https://gitlab.com/cpp8/thinkdsp.git and supplemented with some others. Documentation in https://github.com/RajaSrinivasan/assignments.git
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Recommended DSP Books
Think DSP
- Ask HN: How to get started with audio programming?
Sonic Pi
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Anyone else using ChatGPT to make music?
I have wondered what grooves it could come with using https://sonic-pi.net/
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I Need to Grow Away from These Roots
Something fascinating about seeing a 'score' for generative music written out as a sort of specification like that.
There's enough detail there that you can take those instructions and reimplement your own version of it, and you'll end up with essentially the same 'piece of music', but certainly a different interpretation of it. Because while the score lays out some details precisely, it leaves other choices less clear. What does 'all inversions' really mean when enumerating chords? Does it include open, spread voicings? What durations should we choose from for our random waveforms? How short is 'short' when deciding to repeat? And of course, what wave synths should you use, and how should you modulate them?
All those are similar to the decisions a traditional instrumentalist makes when interpreting a sheet music score for performance - here, a generative music coder can follow this 'score' and produce a program that represents their own interpretation of the piece.
Coding it up in Sonic Pi (https://sonic-pi.net/) was a fun exercise, and I feel like I was able to produce something along the lines of what the composer intended. It carries the same kind of mood that the recording in the video has. But it's my own 'performance' of the work, if that makes sense (even if it's actually Sonic Pi 'performing' it at runtime...)
All of which got me thinking about the relationship more generally between specification, and implementation. Considering different programmers' implementations of algorithms as individual 'performances' of scores from the overall design - and then thinking about developers building elements of a larger system architecture as individual performers working to deliver their part of the performance as part of a band or orchestra. Some groups, maybe they're directed by a conductor-architect; others maybe are improvisers, riffing off one another and occasionally stepping up to deliver a solo. And some are maybe solid session performers, showing up and delivering strong but unflashy performances to a producer's specification.
So overall, a nice meditative coding exercise for a Sunday afternoon, and a shift in perspective. Thanks for sharing it.
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History of the Web - Part 1
On a seriously light-hearted note, Herve Aniglo, talked about teaching children to code with music using Sonic PI, a language agnostic platform that helps you learn recursions, looping, circuit breaking and functional programming by creating simple tunes.
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Genuary 2024: Generative Art / Creative Coding Month
https://www.youtube.com/playlist?list=PLPYzvS8A_rTYEba_4SDvR...
- Sonic Pi is built on-top of SuperCollider, but it's MUCH easier to get started with making bleeps and bloops. Sam Aaron, who originally created Overtone (a Clojure front-end for SuperCollider) created Sonic Pi initially to teach kids computer programming and music, but now it's turning into a pretty nice live-coding setup. The language is basically a DSL extension of Ruby, and although it's very elegant, I feel like it's a little nerfed in terms of a full language when compared to SCLang, so I'm sticking with the latter for now. High recommend checking it out if you're new to making music or code. https://sonic-pi.net/
- This 'Intro To Live Coding' vid from Alex McLean is great. Gives a good overview of a few fun tools out there that I won't mention here for sake of time (check out Gibber and Hydra for web-based coding things. Gibber is really slick). Alex invented Tidal Cycles, which I feel is like god-tier in terms of power and conciseness. Maybe I'll tinker with Tidal someday, but I want to start with SC.
- Web FM synthesizer made with HTML5
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Overtone – programmable, live music in Clojure
Strange dice that it seems to mostly be c++, sponsored by 3 prominent elixir shops, with an original OSC server implementation by Joe Armstrong.
https://github.com/sonic-pi-net/sonic-pi/tree/dev/app/server...
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I really got traumatized
There is a programming language+IDE called SonicPI. It's designed to create music by writing code. You can install the program from the lin, then ask chatGPT to generate some sonic PI code that produces some nice melody. Then just copy the code and paste it into the sonicPI program, and run it by clicking the run button. Here's a conversation for example
- Como encontrar tema de tcc em ciência da computação?
- كورس sound engineer
- Annotated demo of basic capabilities of my rototem audio tool
What are some alternatives?
dsp_examples
supercollider - An audio server, programming language, and IDE for sound synthesis and algorithmic composition.
overtone - Collaborative Programmable Music
FoxDot - Python driven environment for Live Coding
helm - Helm - a free polyphonic synth with lots of modulation
soundtouch-android - Android bindings for SoundTouch lib, focused on size optimization and real-time processing.
gen-rack - Create VCV Rack modules from gen~ exports
thinkdsp
Coltrane - 🎹🎸A music theory library with a command-line interface
zynaddsubfx - ZynAddSubFX open source synthesizer
Black candy - A self hosted music streaming server