RaveForce
keygen
RaveForce | keygen | |
---|---|---|
7 | 5 | |
228 | 19 | |
- | - | |
0.0 | 1.5 | |
about 2 years ago | about 1 year ago | |
Python | Python | |
MIT License | BSD 2-clause "Simplified" License |
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RaveForce
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Deep Reinforcement Learning: Zero to Hero
Great resources! Thank you for making this.
I'm attaching here a DRL framework I made for music generation, similar to OpenAI Gym. If anyone wants to test the algorithms OP includes, you are welcome to use it. Issues and PRs are also welcome.
https://github.com/chaosprint/RaveForce
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AI-generated sad girl with piano performs the text of the MIT License
Suno is great and I already shared its potential back in v2. I have always believed that the essence of digital music is "organized numbers". I think what needs to be thought about is how to use AI in this process. If you look at the results (numbers) generated, then we are indeed very close. But there is another future I believe: I hope AI can compose music with me, like copilot. This is why I keep working on
https://glicol.org/
and the destination is:
https://github.com/chaosprint/RaveForce
Also want to hear your feedback.
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Making Synthesized Sounds More Acoustic
I have a project that aims to do the similar task but with a different approach:
https://github.com/chaosprint/RaveForce
not finished yet, so pr is welcomed!
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Unloop: A generative music looper that doesn’t repeat itself
interesting project! I also have a project for loop generation using DRL:
https://github.com/chaosprint/RaveForce
Haven't kept it up to date for a while as too many things are on my list. But if some of you find it interesting we can chat.
Also if you are interested in generative music, you can't miss: https://www.riffusion.com/
- Show HN: Catchy melodies made with a diffusion-based neural net assistant
- RaveForce in 2022: The OpenAI Gym style toolkit for music generation experiments just got better
- Show HN: RaveForce – An OpenAI Gym style toolkit for music generation experiment
keygen
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Procedual generated audio-tracks
Nice showcase! I’ve done something similar before. My code is awful but you might be able to get some ideas from it: keygen. What would undoubtedly be useful though, is my midi-abstraction library.
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Wanting to learn music theory - How many of you guys play instruments and how important do you find it to learning theory?
I've been playing guitar for 10 ish years. I didn't start learning music theory until I decided I wanted to write software that automatically generates songs (example song). Studying has helped me much more with this program than it has with guitar, but it's made me better at guitar too. Everything I learn, I try to incorporate into this software. It's still in its infancy, but it's really rewarding to work on. Since it generates midi files, you can throw whatever instruments you want at it, which opens up a huge variety of genres it can create (especially if you're willing to get your hands dirty and tune song structure, melody rhythm, etc).
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If you guys were able to code anything you wanted to with an application to music theory, what would you guys create?
I wrote midi abstraction (simplifies coding with musical concepts), and used it to make keygen , which procedurally generates music.
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I downloaded a midi pack (pop) and really like the sound but none of the labeled progressions have their tonic chord in them. Is there a certain way to structure progressions without the 1 chord?
Yes, use my program keygen
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Open Source Music Generation Software
I've opened the source to Keygen, a Python project I've been working on which generates modal music in the form of midi files. I've released it under the BSD 2-Clause License, so feel free to fork, modify, distribute, profit from it, etc. Here is an example of the type of music it creates. A lot of the songs sound similar due to only having an implementation for one style of motif generation, and very basic chord progressions. Pull requests welcome. If anyone would be interested in a particular feature, don't hesitate to let me know, I'll do what I can to implement suggestions.
What are some alternatives?
MidiTok - MIDI / symbolic music tokenizers for Deep Learning models 🎶
musicGenerator - A Python project aimed at making an automatic MIDI music generator
Lars-Ulrich-Challenge - Algorithmic and AI MIDI Drums Generator Implementation
midi-abstraction - Abstract midi pitches into keys, chords, modes, scales, and notes.
SunflowerOS - AR OS
ai-music - A vanilla Trasformer Decoder music generation model trained on Final Fantasy OST MIDI songs
unloop - a co-creative looper that uses generative modeling to **not** repeat itself.
abjad - Abjad is a Python API for building LilyPond files. Use Abjad to make PDFs of music notation.
textbeat - 🎹 plaintext music sequencer and midi shell, with vim playback and the powers of music theory 🥁