Toward real-time recognition of acoustic musical instruments

International Computer Music Conference, ICMC Proceedings

Volumn , Issue , 1999, Pages 175-177

  Fraser, Angela ^a   Fujinaga, Ichiro ^a  

^a JOHNS HOPKINS UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); GENETIC ALGORITHMS; LEARNING SYSTEMS; MUSIC; NEAREST NEIGHBOR SEARCH; SOFTWARE TESTING; STATISTICS;

EXEMPLAR BASED LEARNING; FIVE PARAMETERS; K-NEAREST NEIGHBORS CLASSIFIERS; OPTIMAL SETS; REAL TIME RECOGNITION; REAL- TIME; RECOGNITION SYSTEMS; SETS OF FEATURES; SPECTRA'S; STANDARD DEVIATION;

MUSICAL INSTRUMENTS;

EID: 33646168517     PISSN: 22233881     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Cover, T., and P. Hart. 1967. Nearest neighbor pattern classification. IEEE Transactions on Information Theory 13(1):21-7.
2. Fujinaga, I. 1998. Machine recognition of timbre using steady-state tone of acoustic musical instruments. Proceedings of the International Computer Music Conference. 207-10.
3. Holland, J. H. 1975. Adaptation in natural and artificial systems. Ann Arbor: U. of Michigan Press. Kendall, R. A. 1986. The role of acoustic signal partitions in listener categorization of musical phrases. Music Perception. 4(2):185-214.
4. Martin, K. D., and Y. E. ftim. 1998. Musical instrument identification: A pattern-recognition approach. Paper read at the 136th meeting of the Acoustical Society of America.
5. Nosofsky, R, M. 1986. Attention, similarity, and the identification categorization relationship. Journal of Experimental Psychology: General 115(1):39-57.
6. Nosofsky, R. M. 1984. Choice, similarity, and the context theory of classification. Journal of Experimental Psychology: Learning, Memory, and Cognition 10(1):104-14.
7. Puckette, M. S., T. Apel, and D. D. Zicarelli. 1998. Real-time audio analysis tools for Pd and MSP. Proceedings of the International Computer Music Conference. 109-12.
8. Saldanha, E. L., and J. F. Corso. 1964. Timbre cues and the identification of musical instruments. Journal of the Acoustical Society of America. 36(11):2021-6.
9. Wettschereck, D., D. W. Aha, and T. Mohri. 1997. A review and empirical evaluation of feature weighting methods for a class of lazy learning algorithms. Artificial Intelligence Review 11(1-5):272-314.