Timbre classification method based on the Common Spatial Pattern filter

Yongkoo Park, Wonzoo Chung

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

Abstract

The timbre of audio signals has not been clearly defined mathematically. It has been speculated that the timefrequency structure of audio signals is contributed to the timbre property. In this paper, we construct covariance matrix from the multi-band filter bank output signals of an audio signals and apply Common Spatial Pattern (CSP) filter to characterize timbre of audio signals. Simulation results confirms that the covariance matrix from the multi-band audio signals and CSP filter can be used as a potential feature of tim bre classification.

Original languageEnglish
Title of host publication5th International Winter Conference on Brain-Computer Interface, BCI 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages109-111
Number of pages3
ISBN (Electronic)9781509050963
DOIs
Publication statusPublished - 2017 Feb 16
Event5th International Winter Conference on Brain-Computer Interface, BCI 2017 - Gangwon Province, Korea, Republic of
Duration: 2017 Jan 92017 Jan 11

Other

Other5th International Winter Conference on Brain-Computer Interface, BCI 2017
CountryKorea, Republic of
CityGangwon Province
Period17/1/917/1/11

Keywords

  • Common spatial pattern(CSP)
  • Component
  • Timbre classification

ASJC Scopus subject areas

  • Signal Processing
  • Human-Computer Interaction

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  • Cite this

    Park, Y., & Chung, W. (2017). Timbre classification method based on the Common Spatial Pattern filter. In 5th International Winter Conference on Brain-Computer Interface, BCI 2017 (pp. 109-111). [7858175] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWW-BCI.2017.7858175