audio-identification

Audio fingerprinting in mobile with react-native (sample code)

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.

wavio - Peak-based audio fingerprinting. Written in Rust.

High-performance audio fingerprinting pipeline using advanced digital signal processing (DSP), spectral peak landmarks, and robust geometric hashing.

This project is an implementation of the audio identification algorithm from the Original Shazam Paper (Wang, 2003). It uses audio fingerprinting and hash-based matching to enable efficient and accurate audio retrieval.

This project is an implementation of the audio identification algorithm from the Original Shazam Paper (Wang, 2003). It uses audio fingerprinting and hash-based matching to enable efficient and accurate audio retrieval.

Fine tuned facebook/Wav2Vec2-960h-base for the purpose of speech based task detection relevant to banking and finances, of an individual.