Evaluation of sinusoidal modeling for polyphonic music signal

Yuki Igarashi, Masashi Ito, Akinori Ito

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

There are various kinds of sound signal analysis methods. Sinusoidal modeling, one of those signal analysis method, is based on the idea that all sound signal can be expressed as the sum of sinusoidal components of which instantaneous frequency and amplitude continuously vary with time. Sinusoidal modeling is known as a good model for sound signals, but it has been applied to the data which had only one sound source such as voiced speech or sounds of one instrument. In this paper, we applied sinusoidal modeling to polyphonic music signals and evaluated the accucary of the modeling. As a result, we found that sinusoidal modeling worked well even for polyphonic music signals as long as they do not contain noise-like sounds such as drums.

Original languageEnglish
Title of host publicationProceedings - 2013 9th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2013
PublisherIEEE Computer Society
Pages464-467
Number of pages4
ISBN (Print)9780769551203
DOIs
Publication statusPublished - 2013 Jan 1
Event9th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2013 - Beijing, China
Duration: 2013 Oct 162013 Oct 18

Publication series

NameProceedings - 2013 9th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2013

Other

Other9th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2013
CountryChina
CityBeijing
Period13/10/1613/10/18

Keywords

  • local vector transform
  • music signal analysis
  • polyphonic music
  • sinusoidal modeling

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems
  • Signal Processing

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