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Automatic genre and artist classification by analyzing improvised solo parts from musical recordings
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Pite°a, Sweden
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Maximum likelihood from incomplete data via the em algorithm
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A study on feature selection and classification techniques for automatic genre classification of traditional Malay music
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Philadelphia, Pennsylvania, USA
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S. Doraisamy, S. Golzari, N. M. Norowi, M. N. B. Sulaiman, and N. I. Udzir. A study on feature selection and classification techniques for automatic genre classification of traditional Malay music. In Proc. of Intl. Conf. on Music Information Retrieval (ISMIR), Philadelphia, Pennsylvania, USA, 2008.
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Introduction to Statistical Pattern Recognition
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Fukunaga, K.1
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A symmetry based approach for musical tonality analysis
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Vienna, Austria
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G. Gatzsche, M. Mehnert, D. Gatzsche, and K. Brandenburg. A symmetry based approach for musical tonality analysis. In Proc. of Intl. Conf. on Music Information Retrieval (ISMIR), Vienna, Austria, 2007.
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Gatzsche, G.1
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Improving rhythmic pattern features based on logarithmic preprocessing
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Munich, Germany
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M. Gruhne and C. Dittmar. Improving rhythmic pattern features based on logarithmic preprocessing. In Proc. of the 126th AES Convention, Munich, Germany, 2009.
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Proc. of the 126th AES Convention
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Gruhne, M.1
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Automatic chord recognition from audio using enhanced pitch class profile
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New Orleans, USA
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K. Lee. Automatic chord recognition from audio using enhanced pitch class profile. In Proc. Intl. Computer Music Conf. (ICMC), New Orleans, USA, 2006.
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Automatic music genre classification using ensemble of classifiers
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C. N. Silla, C. A. A. Kaestnerlso, and A. L. Koerich. Automatic music genre classification using ensemble of classifiers. In Proc. of IEEE Intl. Conf. on Systems, Man, and Cybernetics, pages 1687-1692, October 2007.
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Silla, C.N.1
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84866030493
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Evaluation and comparison of audio chroma feature extraction methods
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Munich, Germany
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M. Stein, B. M. Schubert, M. Gruhne, G. Gatzsche, and M. Mehnert. Evaluation and comparison of audio chroma feature extraction methods. In Proc. of the 126th AES Convention, Munich, Germany, 2009.
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Stein, M.1
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Multilabel classification of music into emotions
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Philadelphia, Pennsylvania, USA
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K. Trohidis, G. Tsoumakas, G. Kalliris, and I. Vlahavas. Multilabel classification of music into emotions. In Proc. of Intl. Conf. on Music Information Retrieval (ISMIR), Philadelphia, Pennsylvania, USA, 2008.
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Trohidis, K.1
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