Open AccessMusical Genre Classification Using SVM and Audio Features
Author(s) -
Achmad Benny Mutiara,
Rina Refianti,
Nadia R.A. Mukarromah
Publication year - 2016
Publication title -
telkomnika (telecommunication computing electronics and control)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.258
H-Index - 23
eISSN - 2302-9293
pISSN - 1693-6930
DOI - 10.12928/telkomnika.v14i3.3281
Subject(s) - tonality , computer science , timbre , support vector machine , speech recognition , mel frequency cepstrum , feature vector , artificial intelligence , audio signal , digital audio , musical , feature extraction , polynomial kernel , classifier (uml) , pattern recognition (psychology) , speech coding , kernel method , visual arts , art
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