Biblio

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2013
Serra, X., Magas M., Benetos E., Chudy M., Dixon S., Flexer A., et al. (2013).  Roadmap for Music Information ReSearch. Abstract
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2011
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
2009
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
2006
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
2005
Gouyon, F., & Dixon S. (2005).  A review of automatic rhythm description systems. Computer Music Journal. 29, Abstract
Gouyon, F., & Dixon S. (2005).  Influence of input features in perceptual tempo induction. Abstract
2004
Gouyon, F., & Dixon S. (2004).  Dance music classification A tempo-based approach. Abstract
Gouyon, F., Dixon S., Pampalk E., & Widmer G. (2004).  Evaluating rhythmic descriptors for musical genre classification. Abstract
Gouyon, F., Wack N., & Dixon S. (2004).  An open source tool for semi-automatic rhythmic annotation. Abstract
Dixon, S., Gouyon F., & Widmer G. (2004).  Towards Characterisation of Music via Rhythmic Patterns. Abstract
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