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Reseach Article

Musical Instrument Classification using Higher Order Spectra and Hierarchical Taxonomies

by F I Kazi, D G Bhalke
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 107 - Number 17
Year of Publication: 2014
Authors: F I Kazi, D G Bhalke
10.5120/18843-0242

F I Kazi, D G Bhalke . Musical Instrument Classification using Higher Order Spectra and Hierarchical Taxonomies. International Journal of Computer Applications. 107, 17 ( December 2014), 17-22. DOI=10.5120/18843-0242

@article{ 10.5120/18843-0242,
author = { F I Kazi, D G Bhalke },
title = { Musical Instrument Classification using Higher Order Spectra and Hierarchical Taxonomies },
journal = { International Journal of Computer Applications },
issue_date = { December 2014 },
volume = { 107 },
number = { 17 },
month = { December },
year = { 2014 },
issn = { 0975-8887 },
pages = { 17-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume107/number17/18843-0242/ },
doi = { 10.5120/18843-0242 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:41:19.071871+05:30
%A F I Kazi
%A D G Bhalke
%T Musical Instrument Classification using Higher Order Spectra and Hierarchical Taxonomies
%J International Journal of Computer Applications
%@ 0975-8887
%V 107
%N 17
%P 17-22
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper classification of musical instruments is done using higher order spectra using different hierarchical taxonomies. Since last three decades higher order statistics techniques have been developed but until not applied to musical instrument classification. Present work uses higher order spectra to detect and quantify non gaussianity and nonlinearity along with MFCC.

References
  1. Glenn Eric Hall, Hassan Ezzaidi, Mohammed Bahoura "Hierarchical Parameterization and Classification For Musical Instrument Recognition",11th International Conference On Information Sciences, Signal Processing and their Applications Main Tracks,PP. 1039-1044,2012
  2. Peter Somerville and Alexandra L. Uitdenbogerd. : "Multitimbral Musical Instrument Classification", International Symposium on Computer Science and its Applications PP. 269-274, 2008.
  3. Saima Anwar Lashari, Rosziati Ibrahim and Norhalina Senan "Soft Set Theory for Automatic Classification of Traditional Pakistani Musical Instruments Sounds" International Conference on Computer & Information Science (ICCIS),pp. 94-99, 2012
  4. Rui Rui and Changchun Bao. "A Novel Supervised Learning Algorithm for Musical Instrument Classification"35th International conference on Telecommunication and Signal Processing ,pp. 446-449,2012
  5. Elena Rusticelli,Richard A . Ashley, Estela bee Dagum and Douglas M. Patterson " A New Bispectral Test for Nonlinear Serial Dependence" Taylor & Francis Journals,vol. 28(1-3),279-293,
  6. Akram Azarloo, Fardad Farokhi. : Automatic Musical Instrument Recognition Using K-NN and MLP Neural Networks" in 4th International Conference on Computational Intelligence, Communication Systems and Networks, pp. 289-294, 2012.
  7. Jing Liu, Lingyun Xie. "SVM-Based Automatic Classification of Musical Instruments" International Conference on Intelligent Computation Technology and Automation, pp. 669-673, 2012.
  8. S. Gunasekaran, K. Revathy "Fractal Dimension Analysis of Audio Signals for Indian Musical Instrument Recognition"International conference on Audio, language & image processing ICALIP, pp. 257-261,2008
  9. Alicja A. Wieczorkowska, Zbigniew W. Ra´s, Xin Zhang, Rory Lewis "Multi-way Hierarchic Classification of Musical Instrument Sounds" International Conference on Multimedia and Ubiquitous Engineering, pp. 897-802, 2007
  10. Roisin Loughran, Jacqueline Walker, Michael O'Neill,Marion O'Farrell "Musical Instrument Identification Using Principal Component Analysis & Multi-Layered Perceptrons" International conference on Audio ,Language & Image processing ICALIP,pp. 643-648, 2008.
  11. Slim Essid, Ga¨El Richard & Bertrand David "Hierarchical Classification of Musical Instruments on Solo Recordings" IEEE international conference on Acoustic speech & signal processing ICASSP proceeding, pp. 68-80,2006
  12. Mc gill University Master Sample www. music. mcgill. ca/resources/mum/. html/mums. html
  13. Mark Hall, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, Ian H. Witten The WEKA Data Mining Software: an Update; SIGKDD Explorations, Volume 11,Issue 1,(2009)
  14. M. A. A. S. Choudhury, S. L. Shah, N. F. Thornhill "Detection and diagnosis of System Nonlinearities using higher order statistics"15th Triennial world congress ,Barcelona, Spain, pp. 1-6, 2002.
  15. LI Sheng-jun, LIU Yi "Feature Extraction of Lung Sounds Based on Bispectrum Analysis" Third International Symposium on Information processing pp. 393-397, 2010.
Index Terms

Computer Science
Information Sciences

Keywords

Higher order spectra Bispectrum Hierarchical taxonomies.