Efficient Vocal Melody Extraction from Polyphonic Music Signals

Authors

  • G. Yao State Key Laboratory of Software Development Environment, Beihang University
  • Y. Zheng State Key Laboratory of Software Development Environment, Beihang University
  • L. Xiao State Key Laboratory of Software Development Environment, Beihang University
  • L. Ruan State Key Laboratory of Software Development Environment, Beihang University
  • Y. Li State Key Laboratory of Software Development Environment, Beihang University

DOI:

https://doi.org/10.5755/j01.eee.19.6.4575

Keywords:

Audio content description, feature extraction, music information retrieval, pitch contour

Abstract

Melody extraction from polyphonic music is a valuable but difficult problem in music information retrieval. This paper proposes a system for automatic vocal melody extraction from polyphonic music recordings. Our approach is based on the pitch salience and the creation of the pitch contours. In the calculation of pitch salience, we reduce the peaks number of the spectral transform using a two-level filter and shrink the pitch range in accordance with the experiment to improve the efficiency of the system. In the singing voice detection, we adopt a three-step filter using the pitch contour characteristics and their distributions. The quantitative evaluation shows that our system not only keeps the overall accuracy compared with the state-of-the-art approaches submitted to MIREX, but also achieves high algorithm efficiency.

DOI: http://dx.doi.org/10.5755/j01.eee.19.6.4575

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Published

2013-06-10

How to Cite

Yao, G., Zheng, Y., Xiao, L., Ruan, L., & Li, Y. (2013). Efficient Vocal Melody Extraction from Polyphonic Music Signals. Elektronika Ir Elektrotechnika, 19(6), 103-108. https://doi.org/10.5755/j01.eee.19.6.4575

Issue

Vol. 19 No. 6 (2013)

Section

SIGNAL TECHNOLOGY

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