Singer identification model using data augmentation and enhanced feature conversion with hybrid feature vector and machine learning

Abstract Analyzing songs is a problem that is being investigated to aid various operations on music access platforms. At the beginning of these problems is the identification of the person who sings the song. In this study, a singer identification application, which consists of Turkish singers and w...

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Bibliographic Details
Main Authors: Serhat Hizlisoy, Recep Sinan Arslan, Emel Çolakoğlu
Format: Article
Language:English
Published: SpringerOpen 2024-02-01
Series:EURASIP Journal on Audio, Speech, and Music Processing
Subjects:
Online Access:https://doi.org/10.1186/s13636-024-00336-8