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Journal of New Music Research Volume 42, 2013 - Issue 1
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Articles

Multiple Viewpoint Systems for Music Classification

Darrell Conklin Universidad del País Vasco UPV/EHU, Spain, and IKERBASQUE, Basque Foundation for Science, SpainCorrespondence[email protected]
Pages 19-26 | Published online: 21 Mar 2013

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Read on this site (8)

Niels J. Verosky. (2019) Corpus-based learning of tonal expectations with expectation networks. Journal of New Music Research 48:2, pages 145-158.
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Kıvanç Tatar & Philippe Pasquier. (2019) Musical agents: A typology and state of the art towards Musical Metacreation. Journal of New Music Research 48:1, pages 56-105.
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Kerstin Neubarth, Daniel Shanahan & Darrell Conklin. (2018) Supervised descriptive pattern discovery in Native American music. Journal of New Music Research 47:1, pages 1-16.
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Marcus Pearce & Daniel Müllensiefen. (2017) Compression-based Modelling of Musical Similarity Perception. Journal of New Music Research 46:2, pages 135-155.
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Darrell Conklin. (2016) Chord sequence generation with semiotic patterns. Journal of Mathematics and Music 10:2, pages 92-106.
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Raymond P. Whorley & Darrell Conklin. (2016) Music Generation from Statistical Models of Harmony. Journal of New Music Research 45:2, pages 160-183.
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Corentin Louboutin & David Meredith. (2016) Using general-purpose compression algorithms for music analysis. Journal of New Music Research 45:1, pages 1-16.
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Thomas Hedges, Pierre Roy & François Pachet. (2014) Predicting the Composer and Style of Jazz Chord Progressions. Journal of New Music Research 43:3, pages 276-290.
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Articles from other publishers (16)

Güngör Gündüz. (2023) Entropy, energy, and instability in music. Physica A: Statistical Mechanics and its Applications 609, pages 128365.
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Yannick Wey & Cornelia Metzig. (2021) Machine Learning Classification of Regional Swiss Yodel Styles Based on Their Melodic Attributes. Music & Science 4, pages 205920432110044.
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Kerstin Neubarth & Darrell Conklin. 2020. Machine Learning and Knowledge Discovery in Databases. Machine Learning and Knowledge Discovery in Databases 502 508 .
Juan Li, Jing Luo, Jianhang Ding, Xi Zhao & Xinyu Yang. (2018) Regional classification of Chinese folk songs based on CRF model. Multimedia Tools and Applications 78:9, pages 11563-11584.
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Kerstin Neubarth & Darrell Conklin. (2019) Identification and Description of Outliers in the Densmore Collection of Native American Music. Applied Sciences 9:3, pages 552.
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Izaro Goienetxea, Inigo Mendialdua, Igor Rodriguez & Basilio Sierra. (2019) Statistics-Based Music Generation Approach Considering Both Rhythm and Melody Coherence. IEEE Access 7, pages 183365-183382.
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Jing Wang. 2019. IoT as a Service. IoT as a Service 81 89 .
Yu-Tso Chen, Chi-Hua Chen, Szu Wu & Chi-Chun Lo. (2018) A Two-Step Approach for Classifying Music Genre on the Strength of AHP Weighted Musical Features. Mathematics 7:1, pages 19.
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Izaro Goienetxea, José María Martínez-Otzeta, Basilio Sierra & Iñigo Mendialdua. (2018) Towards the use of similarity distances to music genre classification: A comparative study. PLOS ONE 13:2, pages e0191417.
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Izaro Goienetxea, Iñigo Mendialdua & Basilio Sierra. 2018. AI 2018: Advances in Artificial Intelligence. AI 2018: Advances in Artificial Intelligence 531 536 .
Yeawon Yoo, Yonghan Ju & So Young Sohn. (2017) Quantitative analysis of a half-century of K-Pop songs: Association rule analysis of lyrics and social network analysis of singers and composers. Journal of Popular Music Studies 29:3, pages e12225.
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Débora C. Corrêa & Francisco Ap. Rodrigues. (2016) A survey on symbolic data-based music genre classification. Expert Systems with Applications 60, pages 190-210.
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Louis Bigo & Darrell Conklin. 2016. Music, Mind, and Embodiment. Music, Mind, and Embodiment 213 227 .
D. Herremans, S. Weisser, K. Sörensen & D. Conklin. (2015) Generating structured music for bagana using quality metrics based on Markov models. Expert Systems with Applications 42:21, pages 7424-7435.
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Dorien Herremans, Kenneth Sörensen & David Martens. (2015) Classification and Generation of Composer-Specific Music Using Global Feature Models and Variable Neighborhood Search. Computer Music Journal 39:3, pages 71-91.
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Eita Nakamura & Shinji Takaki. 2015. Mathematics and Computation in Music. Mathematics and Computation in Music 109 114 .

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