Song identification combining landmark audio fingerprinting with CNN/AST/MERT embeddings (contrastive InfoNCE), benchmarked on Jamendo with strong noise robustness.

AudioFingerprint is a production-ready, local audio fingerprinting and song identification system inspired by Shazam and Google Sound Search. It uses spectral peak extraction and combinatorial hashing to identify songs from short audio clips in milliseconds, with a clean Python + Flask architecture suitable for real-world deployments.

TrackRadar is a music recognition bot that uses the Twitter API to identify songs from video content. Enhance your music discovery experience on Twitter with TrackRadar.

Music Identifier App built with ShazamKit and SwiftUI, enabling users to recognize and discover songs seamlessly.

Zham app

Nirvana is a music identifier extension designed to help users quickly identify songs playing in the browser.