Music Instrument Classification using Nontonal MFCC
- https://doi.org/10.2991/fmsmt-17.2017.88How to use a DOI?
- Timbre recognition, nontonal MFCC, instrument classification.
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.
- © 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/).
Cite this article
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 - https://doi.org/10.2991/fmsmt-17.2017.88 ID - Wu2017/04 ER -