article Open Access
Content based music genre classification using temporal and spectral features
International Journal of Computing and Artificial Intelligence · 2023 · Vol. 4(2) · pp. 01–05
Sidhdharth H Pandya✉(California State University, East Bay)Moayed D Daneshyari(California State University, East Bay)
Abstract
Music is heard by everyone. It spreads emotions from one person to another. The music corpus of today is quite diverse. Each person has their own music evaluations. Mostly due to the diversity of the composers and musicians. However, many companies that offer music streaming services, like Pandora, Spotify, Google, Apple Music and Prime music utilize state-of-the- art (SOTA) algorithms to identify similarities and patterns between tracks. As a result, recordings are classified into several groups known as
Music and Audio ProcessingDiverse Musicological StudiesDiversity (politics)Prime timePopular musicPrime (order theory)Computer scienceState (computer science)Speech recognitionMultimediaArtVisual arts
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