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...

Full description

Bibliographic Details

Published in:	2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp. 2661 - 2665
Main Authors:	Raissi, Tina, Tibo, Alessandro, Bientinesi, Paolo
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.04.2018
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!