Presentation | 2010-03-02 Geometrical analysis of linear discriminant analysis algorithms and instrument feature extraction Mizuki IHARA, Kazushi IKEDA, Shin-ichi MAEDA, |
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Abstract(in English) | Extracting only the essential sound attributes from sounds is one of the fundamental issues of music information retrieval. This paper shows the efficiency of the use of linear discriminant analysis for instrument feature extraction by analyzing the algorithm geometrically. For monophonic music instrument identification, various feature extraction and selection methods have been proposed. Although raw power spectra have enough information for accurate instrument identification, their dimensionality is too high and redundant. As such a dimensionality reduction method, linear discriminant analysis (LDA) is applied to the preprocessed power spectra by principal component analysis (PCA). |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Acoustical feature extraction / Sound source identification / Linear discriminant analysis / Feature projection |
Paper # | CAS2009-123,SIP2009-168,CS2009-118 |
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Committee | CS |
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Conference Date | 2010/2/22(1days) |
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Paper Information | |
Registration To | Communication Systems (CS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Geometrical analysis of linear discriminant analysis algorithms and instrument feature extraction |
Sub Title (in English) | |
Keyword(1) | Acoustical feature extraction |
Keyword(2) | Sound source identification |
Keyword(3) | Linear discriminant analysis |
Keyword(4) | Feature projection |
1st Author's Name | Mizuki IHARA |
1st Author's Affiliation | Graduate School of Information Science, NAIST() |
2nd Author's Name | Kazushi IKEDA |
2nd Author's Affiliation | Graduate School of Information Science, NAIST |
3rd Author's Name | Shin-ichi MAEDA |
3rd Author's Affiliation | Graduate School of Informatics, Kyoto University |
Date | 2010-03-02 |
Paper # | CAS2009-123,SIP2009-168,CS2009-118 |
Volume (vol) | vol.109 |
Number (no) | 436 |
Page | pp.pp.- |
#Pages | 2 |
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