The code for the MAPSS measures for source separation evaluation (ICLR, 2026)
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Updated
Apr 3, 2026 - Python
The code for the MAPSS measures for source separation evaluation (ICLR, 2026)
Shazam-inspired music recognition system — FAISS vector search + spectral fingerprinting, with CLAP/MuQ embeddings, FastAPI backend and React frontend.
Music-emotion alignment via contrastive learning. Pairs frozen MERT audio encoder with BGE text encoder in a shared 512D space for emotion-based music retrieval.
Comparison of embedding-based models for electric guitar tone discrimination
A digital forensics pipeline designed to robustly distinguish between AI-generated music (Udio, Suno) and human-recorded audio (FMA)
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