Replaces heavy deep learning architectures with a lightweight Hidden Markov Model and Random Forest structure for pop music generation. It focuses on melodic sequence generation without the high computational cost of recurrent neural networks.
Tech Stack
Jupyter NotebookAudio & Music Production
Why PopMusicMaker?
• Low latency generation
• Explainable AI structure
• Minimal training data required
Limitations
• Less harmonic complexity than LSTMs
• Limited genre versatility
• Basic MIDI-level output
10/22/2025
Last Update
30
Forks
2
Issues
Unknown
License
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