@inproceedings{941a78151db64985b536142dd4e4211b,
title = "Timbre classification method based on the Common Spatial Pattern filter",
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.",
keywords = "Common spatial pattern(CSP), Component, Timbre classification",
author = "Yongkoo Park and Wonzoo Chung",
year = "2017",
month = feb,
day = "16",
doi = "10.1109/IWW-BCI.2017.7858175",
language = "English",
series = "5th International Winter Conference on Brain-Computer Interface, BCI 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "109--111",
booktitle = "5th International Winter Conference on Brain-Computer Interface, BCI 2017",
note = "5th International Winter Conference on Brain-Computer Interface, BCI 2017 ; Conference date: 09-01-2017 Through 11-01-2017",
}