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To get you started: 1. https://sonic-pi.net/ is a good place to experiment with using code to generate music and live-coding 2. You can also try generating midi (or https://abcnotation.com/ and convert it to midi)... then use some midi player to play it 3. To base it on data, use data to drive one of the two approaches above. 4. Coding a synth... I did an intro workshop on it a while ago https://github.com/adinfinit/diy-audio, https://www.youtube.com/watch?v=Dnpa1tBI6-E. 5. Connecting a synth from building blocks... This is kind of like modular synthesis, but with code... you can look at Pure Data or SuperCollider for it. AFAIR Sonic-Pi also supports similar approach. 6. Speech synthesis - look into formant synthesis. You'll need to know how to write or combine a basic synth and filter for this one. 7. Audio analysis - this goes deeper into mathematics, look for books on digital signal processing. Try understanding fourier transform, as it's one of the foundational building blocks. 8. Audio visualization - usually this involves doing a short-time FFT and adjusting a visual image based on that information. For this you need to look into programmatic graphics. Processing is a good environment to get started. I also did an intro workshop to visuals programming: https://github.com/adinfinit/diy-visuals, https://www.youtube.com/watch?v=DCnU2s8icIE -- instead of a mouse, let audio drive that information. 9. Audio visualization - you can also look into writing shaders based on fft data. There are a bunch of tutorials on the topic, here's one that looked decent at first glance https://www.learnwithjason.dev/build-your-own-audio-visualization-in-a-shader. 10. For composition analysis you could try automatically detecting chords based on midi data. But, see "Computation Musicology".
To get you started: 1. https://sonic-pi.net/ is a good place to experiment with using code to generate music and live-coding 2. You can also try generating midi (or https://abcnotation.com/ and convert it to midi)... then use some midi player to play it 3. To base it on data, use data to drive one of the two approaches above. 4. Coding a synth... I did an intro workshop on it a while ago https://github.com/adinfinit/diy-audio, https://www.youtube.com/watch?v=Dnpa1tBI6-E. 5. Connecting a synth from building blocks... This is kind of like modular synthesis, but with code... you can look at Pure Data or SuperCollider for it. AFAIR Sonic-Pi also supports similar approach. 6. Speech synthesis - look into formant synthesis. You'll need to know how to write or combine a basic synth and filter for this one. 7. Audio analysis - this goes deeper into mathematics, look for books on digital signal processing. Try understanding fourier transform, as it's one of the foundational building blocks. 8. Audio visualization - usually this involves doing a short-time FFT and adjusting a visual image based on that information. For this you need to look into programmatic graphics. Processing is a good environment to get started. I also did an intro workshop to visuals programming: https://github.com/adinfinit/diy-visuals, https://www.youtube.com/watch?v=DCnU2s8icIE -- instead of a mouse, let audio drive that information. 9. Audio visualization - you can also look into writing shaders based on fft data. There are a bunch of tutorials on the topic, here's one that looked decent at first glance https://www.learnwithjason.dev/build-your-own-audio-visualization-in-a-shader. 10. For composition analysis you could try automatically detecting chords based on midi data. But, see "Computation Musicology".
To get you started: 1. https://sonic-pi.net/ is a good place to experiment with using code to generate music and live-coding 2. You can also try generating midi (or https://abcnotation.com/ and convert it to midi)... then use some midi player to play it 3. To base it on data, use data to drive one of the two approaches above. 4. Coding a synth... I did an intro workshop on it a while ago https://github.com/adinfinit/diy-audio, https://www.youtube.com/watch?v=Dnpa1tBI6-E. 5. Connecting a synth from building blocks... This is kind of like modular synthesis, but with code... you can look at Pure Data or SuperCollider for it. AFAIR Sonic-Pi also supports similar approach. 6. Speech synthesis - look into formant synthesis. You'll need to know how to write or combine a basic synth and filter for this one. 7. Audio analysis - this goes deeper into mathematics, look for books on digital signal processing. Try understanding fourier transform, as it's one of the foundational building blocks. 8. Audio visualization - usually this involves doing a short-time FFT and adjusting a visual image based on that information. For this you need to look into programmatic graphics. Processing is a good environment to get started. I also did an intro workshop to visuals programming: https://github.com/adinfinit/diy-visuals, https://www.youtube.com/watch?v=DCnU2s8icIE -- instead of a mouse, let audio drive that information. 9. Audio visualization - you can also look into writing shaders based on fft data. There are a bunch of tutorials on the topic, here's one that looked decent at first glance https://www.learnwithjason.dev/build-your-own-audio-visualization-in-a-shader. 10. For composition analysis you could try automatically detecting chords based on midi data. But, see "Computation Musicology".