Learning from Soft-Computing Methods on Abnormalities in Audio Data

Author:

Wieczorkowska Alicja

Publisher

Springer Berlin Heidelberg

Reference19 articles.

1. Aniola, P., Lukasik, E.: JAVA Library for Automatic Musical Instruments Recognition. In: AES 122 Convention, Vienna, Austria (2007)

2. Brown, J.C.: Computer identification of musical instruments using pattern recognition with cepstral coefficients as features. J. Acoust. Soc. Am. 105, 1933–1941 (1999)

3. Herrera, P., Amatriain, X., Batlle, E., Serra, X.: Towards instrument segmentation for music content description: a critical review of instrument classification techniques. In: International Symposium on Music Information Retrieval ISMIR (2000)

4. Kaminskyj, I.: Multi-feature Musical Instrument Sound Classifier w/user determined generalisation performance. In: Australasian Computer Music Association Conference ACMC, pp. 53–62 (2002)

5. Kitahara, T., Goto, M., Okuno, H.G.: Pitch-Dependent Identification of Musical Instrument Sounds. Applied Intelligence 23, 267–275 (2005)

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