"MUSIC RECOGNITION USING AUDIO FINGERPRINTING"

Abstract

Audio fingerprinting and song recognition play crucial roles in modern music retrieval systems, facilitating song identification and access based on short audio samples. These technologies are instrumental in music discovery and copyright enforcement. This abstract provides an overview of their principles and applications.

Audio fingerprinting entails converting an audio signal into a unique digital fingerprint, which is then matched with a database of precomputed fingerprints to identify the corresponding song. This process involves extracting distinct features from the audio, such as spectrogram patterns, and generating a compact representation for efficient storage and retrieval.

Song recognition utilizes these fingerprints to identify songs or audio snippets within extensive music libraries. This technology finds applications in music streaming services, copyright protection, and audio content recommendation.

The abstract also addresses the importance of robust fingerprinting algorithms, real-time processing, and challenges posed by noise and signal variations. Additionally, it emphasizes ethical and legal considerations in audio fingerprinting and song recognition, highlighting the need for privacy safeguards and copyright compliance.