Loading [MathJax]/extensions/TeX/enclose.js
Singing voice detection of popular music using beat tracking and SVM classification | IEEE Conference Publication | IEEE Xplore

Singing voice detection of popular music using beat tracking and SVM classification


Abstract:

Singing voice detection for musical structural analysis is an important but difficult area, which makes a great contribution to music segment. This paper proposes an effi...Show More

Abstract:

Singing voice detection for musical structural analysis is an important but difficult area, which makes a great contribution to music segment. This paper proposes an efficient singing voice detection system by using beat tracking technique and SVM classification. We do the experiment using beat as a unit of classification instead of frame. Compared with a conventional frame-based classification, the run time of beat-based classification system reduces about 20%, and achieve 72.8% of precision. Meanwhile, in practice, the beat-based classification system achieves about 88.3% of precision.
Date of Conference: 28 June 2015 - 01 July 2015
Date Added to IEEE Xplore: 27 July 2015
Electronic ISBN:978-1-4799-8679-8
Conference Location: Las Vegas, NV, USA

References

References is not available for this document.