Polyphonic instrument identification using independent subspace analysis

2004 IEEE International Conference on Multimedia and Expo (ICME)

Volumn 2, Issue , 2004, Pages 1211-1214

  Jincahitra, Pamornpol ^a  

^a STANFORD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE EXTRACTION; IDENTIFICATION (CONTROL SYSTEMS); IMAGE CODING; MAXIMUM LIKELIHOOD ESTIMATION; PHYSIOLOGY; PROBLEM SOLVING; STATISTICAL METHODS; TIME DOMAIN ANALYSIS;

CLUSTERING; INSTRUMENT IDENTIFICATION; PITCH ESTIMATION; SOURCE IDENTIFICATION;

DECOMPOSITION;

EID: 11244309238     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Martin, K., "Sound Source Recognition: A Theory and Computational Model", PH.D. Thesis, MIT, 1999.
2. Eronen A., and Klapuri A.,"Musical Instrument Recognition Using Cepstral Coefficients and Temporal Features", ICASSP'2000, pp. 753-756, 2000.
3. Eggink, J., and Brown, G.J., "A Missing Feature Approach to Instrument Identification in Polyphonic Signal", ICASSP'03, Vol.5, 2003, pp.553-556.
4. Kashino, K., and Murase, H., "A Sound Source Identification System for Ensemble Music Based on Template Adaptation and Music Stream Extraction", Speech Comm., Vol.27, March 1999, pp.337-349.
5. Kinoshita, T., Sakai, S., and Tanaka, H. "Musical Soundsource Identification Based on Frequency Component Adaptation". IJCAI-99, Sweden, 1999.
6. Casey, M. and Westner, A., "Separation of Mixed Audio Sources by Independent Subspace Analysis", ICMA'2000, Berlin, August, 2000.
7. Smaragdis, P., "Redundancy Reduction for Computational Audition, A Unifying Approach", Ph.D. Thesis, MIT, 2001.
8. Bell, A.J. and Sejnowski, T.J., "An Information Maximization Approach to Blind Separation and Blind Deconvolution", Neural Computation, 7:6, 1995, pp. 1129-1159.
9. Slaney M., Auditory Toolbox version 2.0, http://www.slaney.org/malcolm/ pubs.html.