stylistic-music-generation

Music Generation Finetuning notebook using the Meta's MusicGen model, trained on music from the Violet Evergarden: Automemories Soundtrack. Code is modified to run on AWS Sagemaker & partially on M1 Apple Silicon (no GPU).

Tooling:

• AWS Sagemaker (Compute/Jupyter Notebooks platform)
• Weights & Biases (ML Observability)
• Musicgen (Checkpoint Model for Music Generation)
• aprilschen/VioletEvergardenAutomemories (dataset)
• huggingface/transformers
• Ipython (Audio displays)
• demucs (Voice removal)
• librosa (labelling: tempo and key)
• CLAP (labelling: genre, instrument, mood)
• Perameter-Efficient Fine-Tuning (Low-Rank Adaptation library)

Inspiration for training code taken from various Github users, including lyramakesmusic, sakemin, and ylacombe.