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Quantifying the Relevance of Locally Extracted Information for Musical Instrument Recognition from Entire Pieces of Music.

, and . ISMIR, page 239-244. University of Miami, (2011)

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What is the Effect of Audio Quality on the Robustness of MFCCs and Chroma Features?, , , , and . ISMIR, page 573-578. (2014)Estimating The Tonality Of Polyphonic Audio Files: Cognitive Versus Machine Learning Modelling Strategies., and . ISMIR, (2004)How Much Metadata Do We Need in Music Recommendation? A Subjective Evaluation Using Preference Sets., and . ISMIR, page 97-102. University of Miami, (2011)Expectation along the beat: a Use Case for Music Expectation Models., , , , and . ICMC, Michigan Publishing, (2007)Unifying Low-Level and High-Level Music Similarity Measures., , , , and . IEEE Trans. Multimedia, 13 (4): 687-701 (2011)Music Mood Annotator Design and Integration., , , , and . CBMI, page 156-161. IEEE Computer Society, (2009)A new approach to evaluating novel recommendations., and . RecSys, page 179-186. ACM, (2008)Power-law distribution in encoded MFCC frames of speech, music, and environmental sound signals., , , and . WWW (Companion Volume), page 895-902. ACM, (2012)Active learning of custom sound taxonomies in unstructured audio data., , and . ICMR, page 67. ACM, (2012)Multimodal Music Mood Classification Using Audio and Lyrics., , and . ICMLA, page 688-693. IEEE Computer Society, (2008)