Music Information Retrieval (MIR) is an interdisciplinary field focusing on the research and development of computational systems to help humans better make sense of music data, drawing from a diverse set of disciplines, including, but not limited to, music theory, computer science, psychology, neuroscience, library science, electrical engineering, and machine learning. The main motivation of the MIR field has been to build efficient technologies to organize large music collections, targeting various practical applications ranging from audio identification (i.e. fingerprinting), query by humming, music recommendation, playlist generation to music browsing interfaces.

Audio-based Music Retrieval / Gómez, Emilia; Cuesta, Helena; Gkiokas, Aggelos; Gómez-Cañón, Juan; Porcaro, Lorenzo; Yesiler, Furkan. - (2024), pp. 539-575. [10.1145/3674127.3702959].

Audio-based Music Retrieval

Porcaro, Lorenzo
;
2024

Abstract

Music Information Retrieval (MIR) is an interdisciplinary field focusing on the research and development of computational systems to help humans better make sense of music data, drawing from a diverse set of disciplines, including, but not limited to, music theory, computer science, psychology, neuroscience, library science, electrical engineering, and machine learning. The main motivation of the MIR field has been to build efficient technologies to organize large music collections, targeting various practical applications ranging from audio identification (i.e. fingerprinting), query by humming, music recommendation, playlist generation to music browsing interfaces.
2024
Information Retrieval: Advanced Topics and Techniques
9798400710506
Music information retrieval; survey; data-driven;
02 Pubblicazione su volume::02a Capitolo o Articolo
Audio-based Music Retrieval / Gómez, Emilia; Cuesta, Helena; Gkiokas, Aggelos; Gómez-Cañón, Juan; Porcaro, Lorenzo; Yesiler, Furkan. - (2024), pp. 539-575. [10.1145/3674127.3702959].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1735592
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