Music Instrument Classification using Nontonal MFCC

DOI

10.2991/fmsmt-17.2017.88How to use a DOI?

Keywords

Timbre recognition, nontonal MFCC, instrument classification.

Abstract

Combined with the sounding mechanism and cepstrum, a new model is proposed to describe the timbre more precisely, together with the nontonal Mel-frequency cepstral coefficients (NMFCC) derived from the nontonal spectral content which relates closely to the resonator. A better performance is observed from the experiment results of five classifiers over the isolated instrument samples of 13 instruments of different instrument families. The NMFCC method outperforms the one using MFCC with an accuracy rate of 97.7% for individual instruments.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Yi Wu
AU  - Qi Wang
AU  - Ruolun Liu
PY  - 2017/04
DA  - 2017/04
TI  - Music Instrument Classification using Nontonal MFCC
BT  - Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
PB  - Atlantis Press
SP  - 417
EP  - 420
SN  - 2352-5401
UR  - https://doi.org/10.2991/fmsmt-17.2017.88
DO  - 10.2991/fmsmt-17.2017.88
ID  - Wu2017/04
ER  -