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Journal of New Music Research Volume 35, 2006 - Issue 2
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Original Articles

Statistical evaluation of music information retrieval experiments

Arthur Flexer Institute of Medical Cybernetics and Artificial Intelligence, AustriaCorrespondence[email protected]
Pages 113-120 | Published online: 16 Feb 2007

Citations (16)

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Read on this site (3)

Miles Thorogood, Jianyu Fan & Philippe Pasquier. (2019) A framework for computer-assisted sound design systems supported by modelling affective and perceptual properties of soundscape. Journal of New Music Research 48:3, pages 264-280.
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Arthur Flexer & Thomas Grill. (2016) The Problem of Limited Inter-rater Agreement in Modelling Music Similarity. Journal of New Music Research 45:3, pages 239-251.
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Bob L. Sturm. (2014) The State of the Art Ten Years After a State of the Art: Future Research in Music Information Retrieval. Journal of New Music Research 43:2, pages 147-172.
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Articles from other publishers (13)

Paul Magron & Cédric Févotte. (2022) Neural content-aware collaborative filtering for cold-start music recommendation. Data Mining and Knowledge Discovery 36:5, pages 1971-2005.
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Pin-Hsuan Chen & Pei-Luen Patrick Rau. 2022. Cross-Cultural Design. Applications in Learning, Arts, Cultural Heritage, Creative Industries, and Virtual Reality. Cross-Cultural Design. Applications in Learning, Arts, Cultural Heritage, Creative Industries, and Virtual Reality 163 176 .
Renia Lopes, Santosh Chapaneri & Deepak Jayaswal. (2017) Music features based on Hu moments for genre classification. Music features based on Hu moments for genre classification.
Santosh Chapaneri, Renia Lopes & Deepak Jayaswal. (2015) Evaluation of Music Features for PUK Kernel Based Genre Classification. Procedia Computer Science 45, pages 186-196.
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Bob L. Sturm. 2014. Sound, Music, and Motion. Sound, Music, and Motion 89 104 .
Bob L. Sturm. 2014. Adaptive Multimedia Retrieval: Semantics, Context, and Adaptation. Adaptive Multimedia Retrieval: Semantics, Context, and Adaptation 29 66 .
Bob L. Sturm. (2013) Classification accuracy is not enough. Journal of Intelligent Information Systems 41:3, pages 371-406.
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Markus Schedl, Arthur Flexer & Julián Urbano. (2013) The neglected user in music information retrieval research. Journal of Intelligent Information Systems 41:3, pages 523-539.
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Norberto Degara, Enrique Argones Rua, Antonio Pena, Soledad Torres-Guijarro, Matthew E. P. Davies & Mark D. Plumbley. (2012) Reliability-Informed Beat Tracking of Musical Signals. IEEE Transactions on Audio, Speech, and Language Processing 20:1, pages 290-301.
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A. M. Stark & M. D. Plumbley. (2012) Performance Following: Real-Time Prediction of Musical Sequences Without a Score. IEEE Transactions on Audio, Speech, and Language Processing 20:1, pages 190-199.
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Arthur FlexerDominik Schnitzer. (2010) Effects of Album and Artist Filters in Audio Similarity Computed for Very Large Music Databases. Computer Music Journal 34:3, pages 20-28.
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Charlie InskipAndy MacFarlane & Pauline Rafferty. (2010) Creative professional users’ musical relevance criteria. Journal of Information Science 36:4, pages 517-529.
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Aníbal J. S. Ferreira. (2007) Static features in real-time recognition of isolated vowels at high pitch. The Journal of the Acoustical Society of America 122:4, pages 2389-2404.
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