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Gouyon, F., & Dixon S. (2004).  Dance music classification A tempo-based approach. Abstract
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Gouyon, F., Dixon S., Pampalk E., & Widmer G. (2004).  Evaluating rhythmic descriptors for musical genre classification. Abstract
Gouyon, F., Klapuri A., Dixon S., Alonso M., Tzanetakis G., Uhle C., et al. (2006).  An experimental comparison of audio tempo induction algorithms. IEEE Transactions on Speech and Audio Processing. 14, Abstract
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Anglade, A., Ramirez R., & Dixon S. (2009).  Genre Classification using Harmony Rules Induced from Automatic Chord Transcriptions. International Society for Music Information Retrieval Conference. Abstract
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Gouyon, F., & Dixon S. (2005).  Influence of input features in perceptual tempo induction. Abstract
Gómez, E. (2011).  Integrating Different Knowledge Sources for the Computational Modeling of Flamenco Music. (Müller, M., Goto, M., Dixon, S., Ed.).Multimodal Music Processing (Dagstuhl Seminar 11041) - Dagstuhl Reports. 1(1), 82-83. Abstract
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Gouyon, F., Wack N., & Dixon S. (2004).  An open source tool for semi-automatic rhythmic annotation. Abstract
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Gouyon, F., & Dixon S. (2005).  A review of automatic rhythm description systems. Computer Music Journal. 29, Abstract
Serra, X., Magas M., Benetos E., Chudy M., Dixon S., Flexer A., et al. (2013).  Roadmap for Music Information ReSearch. Abstract
application/pdf iconMIRES-Roadmap.pdf
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Dixon, S., Gouyon F., & Widmer G. (2004).  Towards Characterisation of Music via Rhythmic Patterns. Abstract
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