Jialie Shen
John Shepherd
ABSTRACT
Music information processing has become very important due to the ever-growing amount of music data from emerging applications. In this demonstration,we present a novel approach for generating small but comprehensive music descriptors to facilitate efficient content music management (accessing and retrieval, in particular). Unlike previous approaches that rely on low-level spectral features adapted from speech analysis technology, our approach integrates human music perception to enhance the accuracy of the retrieval and classification process via PCA and neural networks. The superiority of our method is demonstrated by comparing it with state-of-the-art approaches in the areas of music classification query effectiveness, and robustness against various audio distortion/alternatives.
- {1} K. Chakrabarti and S. Mehrotra. The hybrid tree: An index structure for high dimensional feature spaces. In ICDE Proceedings, 1999. Google Scholar
Digital Library
- {2} T. Li, M. Ogihara, and Q. Li. A comparative study on content-based music genre classification. In ACM SIGIR Proceedings, 2003. Google ScholarDigital Library
- {3} T. Mitchell. Machine Learning. McGRAW-Hill, 1997. Google ScholarDigital Library
- {4} J. Shen, J. Shepherd, and A. Ngu. Towards effective content based music retrieval with multiple acoustic feature combination. In IEEE Trans. on Multimedia, 2006. Google ScholarDigital Library
- {5} T. Tolonen and M. Karjalainen. A computationally efficient multipitch analysis model. IEEE Trans. on Speech and Audio Processing, 8(6):708-716, July 2000.Google ScholarCross Ref
- {6} G. Tzanetakis and P. Cook. Musical genre classification of audio signals. IEEE Trans. on Speech and Audio Processing, 10(5):292-302, July 2002.Google ScholarCross Ref
Index Terms
- InMAF: indexing music databases via multiple acoustic features
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