Musical instrument recognition using cepstral coefficients andtemporal features
Eronen, A.; Klapuri, A.
Acoustics, Speech, and Signal Processing, 2000. ICASSP apos;00. Proceedings. 2000 IEEE International Conference on
Volume 2, Issue , 2000 Page(s):II753 - II756 vol.2
Digital Object Identifier   10.1109/ICASSP.2000.859069
Summary:In this paper, a system for pitch independent musical instrument recognition is presented. A wide set of features covering both spectral and temporal properties of sounds was investigated, and their extraction algorithms were designed. The usefulness of the features was validated using test data that consisted of 1498 samples covering the full pitch ranges of 30 orchestral instruments from the string, brass and woodwind families, played with different techniques. The correct instrument family was recognized with 94% accuracy and individual instruments in 80% of cases. These results are compared to those reported in other work. Also, utilization of a hierarchical classification framework is considered

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