Musical instrument recognition with wavelet envelopes

Date

2002-09-16

Author

Hacıhabiboğlu, Hüseyin

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Automatic recognition of instrument type from raw audio data containing monophonic music is a fundamental problem for audio content analysis. There are many methods for the solution of this problem, which use common spectro-temporal properties like cepstral coefficients or spectral envelopes. A new method for instrument recognition utilising short-time amplitude envelopes of wavelet coefficients as feature vectors is presented. The classification engine is a distinctively small multilayer perceptron (MLP) network. A correct classification rate which is comparable to previously reported correct classification rates is attained for a set of three instruments containing flute, clarinet and trumpet.

URI

https://hdl.handle.net/11511/70965
http://www.sea-acustica.es/fileadmin/publicaciones/Sevilla02_mus01007.pdf

Conference Name

Forum Acusticum (16 - 20 Eylül 2002)

Collections

Graduate School of Informatics, Conference / Seminar

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Citation Formats

H. Hacıhabiboğlu, “Musical instrument recognition with wavelet envelopes,” presented at the Forum Acusticum (16 - 20 Eylül 2002), Sevilla, İspanya, 2002, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/70965.