Abstract
In this paper, a music information retrieval system in real mobile environment is proposed. In order to alleviate distortions due to the mobile noise, a noise reduction algorithm is applied and then a feature extraction using Multi-Feature Clustering is implemented to improve the system performance. The proposed system shows quite successful performance with real world cellular phone data.
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References
Tzanetakis, G., Cook, P.: Musical genre classification of audio signals. IEEE Trans. on Speech and Audio Processing 10(5), 293–302 (2002)
Wold, E., Blum, T., Keislar, D., Wheaton, J.: Content-based classification, search, and retrieval of audio. IEEE Multimedia 3(2) (1996)
Foote, J.: Content-based retrieval of music and audio. In: Kuo, C.C.J., et al. (eds.) Proc. SPIE Multimedia Storage Archiving Systems II, vol. 3229, pp. 138–147 (1997)
Burges, C.J.C., Platt, J.C., Jana, S.: Extracting noise robust features from audio data. In: Proceedings of ICASSP, pp. 1021–1024 (2002)
Kurozumi, T., Kashino, K., Murase, H.: A robust audio searching method for cellular-phone-based music information retrieval. In: IAPR 16th ICPR, vol. 3, pp. 991–994 (2002)
Haitsma, J., Kalker, T.: A Highly Robust Audio. Fingerprinting System. In: 3rd Int. Symposium on Music. Information Retrieval (ISMIR) (October 2002)
Shazam website, http://www.sahzamentertainment.com
Ephraim, Y.: A signal subspace approach for speech enhancement. IEEE Transactions on Speech and Audio Processing 3(4), 251–266 (1995)
Liu, M., Wan, C.: A study on content-based classification retrieval of audio database. In: Proc. of the International Database Engineering & Applications Symposium, pp. 339–345 (2001)
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Yoon, WJ., Oh, S., Park, KS. (2006). Robust Music Information Retrieval on Mobile Network Based on Multi-Feature Clustering. In: Li, X., Zaïane, O.R., Li, Z. (eds) Advanced Data Mining and Applications. ADMA 2006. Lecture Notes in Computer Science(), vol 4093. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11811305_31
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DOI: https://doi.org/10.1007/11811305_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37025-3
Online ISBN: 978-3-540-37026-0
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