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Musical Genre Classification: Is It Worth Pursuing and How Can It be Improved?

, and . Proceedings of the 7th International Conference on Music Information Retrieval, Victoria, Kanada, (Oktober 2006)

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The potential for automatic assessment of trumpet tone quality., , and . ISMIR, page 573-578. University of Miami, (2011)Using jWebMiner 2.0 to Improve Music Classification Performance by Combining Different Types of Features Mined from the Web., , and . ISMIR, page 607-612. International Society for Music Information Retrieval, (2010)Fast vs Slow: Learning Tempo Octaves from User Data., and . ISMIR, page 231-236. International Society for Music Information Retrieval, (2010)Characterizing singing voice fundamental frequency trajectories., , and . WASPAA, page 73-76. IEEE, (2011)The challenges in developing digital collections of phonograph records., , and . JCDL, page 332-333. ACM, (2005)Correcting Large-Scale OMR Data with Crowdsourcing., , and . DLfM@JCDL, page 1-3. ACM, (2014)SIMSSA: Towards full-music search over a large collection of musical scores., and . DH, page 187-188. Alliance of Digital Humanities Organizations (ADHO), (2013)Non-chord Tone Identification Using Deep Neural Networks., , , and . DLfM, page 13-16. ACM, (2017)Using the Gamera framework for the recognition of cultural heritage materials., , , , , , and . JCDL, page 11-17. ACM, (2002)Extending Audacity for Audio Annotation., , and . ISMIR, page 379-380. (2006)