Comparar métodos

	Impressão digital de áudio	Rastreamento de Batida
Área	Recuperação de informação musical	Recuperação de informação musical
Família	Machine learning	Machine learning
Ano de origem	2002	2007
Autor original	Jeroen Haitsma	David P. Ellis
Tipo	Perceptual audio hashing	Audio signal processing algorithm
Fonte seminal	Haitsma, J., & Kalker, T. (2002). A highly robust audio fingerprinting system. In Proceedings of the International Symposium on Music Information Retrieval.	Ellis, D. P. (2007). Beat tracking by dynamic programming. Journal of New Music Research, 36(1), 51-60.
Outros nomes	robust hashing, perceptual hashing, music identification	pulse detection, beat detection, metrical analysis
Relacionados	5	5
Resumo	Audio fingerprinting is a technique for creating a compact, robust identifier (fingerprint) for audio recordings that uniquely represents the content while being tolerant to modifications such as compression, noise, or time-shifting. Introduced by Haitsma and Kalker (2002), it underlies music identification services like Shazam and is critical for copyright enforcement, music matching, and library deduplication. A fingerprint is not a waveform hash; it captures perceptual content and remains stable across reasonable audio alterations.	Beat tracking is an algorithm for automatically identifying the temporal positions of musical beats in audio recordings. It has been widely studied since the early 2000s, particularly for rhythm analysis and music synchronization applications. The problem is central to music information retrieval and essential for music-aware systems.