Extended Pipeline for Content-Based Feature Engineering in Music Genre Recognition

We present a feature engineering pipeline for the construction of musical signal characteristics, to be used for the design of a supervised model for musical genre identification. The key idea is to extend the traditional two-step process of extraction and classification with additive stand-alone ph...

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Vydané v:	2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) s. 2661 - 2665
Hlavní autori:	Raissi, Tina, Tibo, Alessandro, Bientinesi, Paolo
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.04.2018
Predmet:	autoencoder Feature extraction feature extraction and selection genre classification information gain Mel frequency cepstral coefficient Music Musical signal Pipelines Task analysis Training
ISSN:	2379-190X
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