Bibliography

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 Communication, 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, Stockholm, 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.

10

Smaragdis, P., and Brown, J.C., ``Non-negative Matrix Factorization for Polyphonic Music Transcription'', WASPAA'03, New Paltz, New York, 2003.