Computer identification of musical instruments using pattern recognition with cepstral coefficients as features

Journal of the Acoustical Society of America

Volumn 105, Issue 3, 1999, Pages 1933-1941

  Brown, Judith C ^a,b  

^a WELLESLEY COLLEGE   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTICS; ALGORITHM; ANALYTIC METHOD; ARTICLE; BAYES THEOREM; CALCULATION; MATHEMATICAL ANALYSIS; MUSIC; PATTERN RECOGNITION; PRIORITY JOURNAL; SIGNAL PROCESSING;

ALGORITHMS; AUDITORY PERCEPTION; AUTOMATIC DATA PROCESSING; COMPUTERS; DATABASES; HUMANS; MODELS, THEORETICAL; MUSIC; NORMAL DISTRIBUTION; SOUND;

EID: 0033005508     PISSN: 00014966     EISSN: None     Source Type: Journal    
DOI: 10.1121/1.426728     Document Type: Article

References (12)

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2. Brown, J. C. (1997). "Cluster-based probability model for musical instrument identification," J. Acoust. Soc. Am. 101, 3167A.
3. Brown, J. C. (1998a). "Computer Identification of Wind Instruments using Cepstral Coefficients," in Proceedings of the 16th International Congress on Acoustics and 135th Meeting of the Acoustical Society of America, Seattle, Washington, pp. 1889-1890.
4. Brown, J. C. (1998b). "Computer identification of wind instruments using cepstral coefficients," J. Acoust. Soc. Am. 103, 2967 (abstract).
5. Brown, J. C. (1998c). "Musical Instrument Identification using Autocorrelation Coefficients," in Proceedings International Symposium on Musical Acoustics 1998, Leavenworth, Washington.
6. Brown, J. C., and Puckette, M. S. (1992). "An efficient algorithm for the calculation of a constant Q transform," J. Acoust. Soc. Am. 92, 2698-2701.
7. Charbonneau, G. R. (1981). "Timbre and the perceptual effects of three types of data reduction," Comput. Music J. 5, 10-19.
8. Clark, M., Robertson, P., and Luce, D. A. (1964). "A preliminary experiment on the perceptual basis for musical instrument families," J. Audio Eng. Soc. 12, 199-203.
9. Coleman, W. F. (1997). Private communication.
10. Cosi, P., De Poli, G., and Lauzzana, G. (1994). "Timbre classification by NN and auditory modeling," in Proceedings of the International Conference on Artificial Neural Networks, pp. 925-928.
11. De Poli, G., and Tonella, P. (1993). "Self-organizing neural networks and Grey's timbre space," ICMC Proceedings, pp. 441-444.
12. Ellis, D. P. W. (1992). "A Perceptual Representation of Audio," MS thesis, Department, of Electrical Engineering and Computer Science, Massachusetts Institute of Technology.