MUSICAL INSTRUMENT IDENTIFICATION USING MULTISCALE MEL-FREQUENCY CEPSTRAL COEFFICIENTS

被引：0

作者：

Sturm, Bob L. ^{[1
]}

Morvidone, Marcela ^{[2
]}

Daudet, Laurent ^{[3
]}

机构：

[1] Aalborg Univ, Dept Architecture Design & Media Technol, DK-2750 Ballerup, Denmark

[2] Univ Tecnol Nacl, Fac Reg Buenos Aires, Dept Ingn Elect, Buenos Aires, DF, Argentina

[3] Univ Paris Diderot, Inst Langevin LOA, UMR 7587, F-75231 Paris 05, France

来源：

18TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO-2010) | 2010年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We investigate the benefits of evaluating Mel-frequency cepstral coefficients (MFCCs) over several time scales in the context of automatic musical instrument identification for signals that are monophonic but derived from real musical settings. We define several sets of features derived from MFCCs computed using multiple time resolutions, and compare their performance against other features that are computed using a single time resolution, such as MFCCs, and derivatives of MFCCs. We find that in each task - pairwise discrimination, and one vs. all classification - the features involving multiscale decompositions perform significantly better than features computed using a single timeresolution.

引用

页码：477 / 481

页数：5

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