Quantifying the Relevance of Locally Extracted Information for Musical Instrument Recognition from Entire Pieces of Music - researchr publication authors

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Ferdinand Fuhrmann, Perfecto Herrera. Quantifying the Relevance of Locally Extracted Information for Musical Instrument Recognition from Entire Pieces of Music. In Anssi Klapuri, Colby Leider, editors, Proceedings of the 12th International Society for Music Information Retrieval Conference, ISMIR 2011, Miami, Florida, USA, October 24-28, 2011. pages 239-244, University of Miami, 2011. [doi]

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