Content based music genre classification using temporal and spectral features
Author(s): Sidhdharth H Pandya and Moayed D Daneshyari
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 "Genres" of tunes. It makes similar audio tracks and music recommendations based on the genres a user listen to.
Sidhdharth H Pandya, Moayed D Daneshyari. Content based music genre classification using temporal and spectral features. Int J Comput Artif Intell 2023;4(2):01-05. DOI: 10.33545/27076571.2023.v4.i2a.65