International Journal of Computer Science and Informatics
Article Title
A Study : Analysis of Music Features for Musical Instrument Recognition and Music Similarity Search
Abstract
Lots of work has been done on speech and speaker recognition. Many technologies were developed for the analysis of speech waveforms. Musical instrument recognition is an important aspect of music information retrieval system. In this paper we analyzed features for musical instruments recognition and a brief study on music similarity. Music similarity search is done by using mel-frequency cepstral coefficients (MFCC), linear predictive coefficients (LPC) and the classifier used is K- Nearest Neighbor with Dynamic Time Warping.
Recommended Citation
Devi, J. Sirisha
(2013)
"A Study : Analysis of Music Features for Musical Instrument Recognition and Music Similarity Search,"
International Journal of Computer Science and Informatics: Vol. 2:
Iss.
3, Article 6.
DOI: 10.47893/IJCSI.2013.1088
Available at:
https://www.interscience.in/ijcsi/vol2/iss3/6
DOI
10.47893/IJCSI.2013.1088
Included in
Computer Engineering Commons, Information Security Commons, Systems and Communications Commons
