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Articles

A Comparison between Global and Local Features for Computational Classification of Folk Song Melodies

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Pages 1-18 | Published online: 11 Oct 2012

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David Humphreys, Kirill Sidorov, Andrew Jones & David Marshall. (2021) An investigation of music analysis by the application of grammar-based compressors. Journal of New Music Research 50:4, pages 312-341.
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Darian Tomašević, Stephan Wells, Iris Yuping Ren, Anja Volk & Matevž Pesek. (2021) Exploring annotations for musical pattern discovery gathered with digital annotation tools. Journal of Mathematics and Music 15:2, pages 194-207.
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Nadine Kroher & José-Miguel Díaz-Báñez. (2019) Modelling melodic variation and extracting melodic templates from flamenco singing performances. Journal of Mathematics and Music 13:2, pages 150-170.
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Gissel Velarde, Carlos Cancino Chacón, David Meredith, Tillman Weyde & Maarten Grachten. (2018) Convolution-based classification of audio and symbolic representations of music. Journal of New Music Research 47:3, pages 191-205.
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Maria Panteli, Emmanouil Benetos & Simon Dixon. (2018) A review of manual and computational approaches for the study of world music corpora. Journal of New Music Research 47:2, pages 176-189.
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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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Berit Janssen, Peter van Kranenburg & Anja Volk. (2017) Finding Occurrences of Melodic Segments in Folk Songs Employing Symbolic Similarity Measures. Journal of New Music Research 46:2, pages 118-134.
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Peter Boot, Anja Volk & W. Bas de Haas. (2016) Evaluating the Role of Repeated Patterns in Folk Song Classification and Compression. Journal of New Music Research 45:3, pages 223-238.
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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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David Meredith. (2015) Music Analysis and Point-Set Compression. Journal of New Music Research 44:3, pages 245-270.
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Gissel Velarde, Tillman Weyde & David Meredith. (2013) An approach to melodic segmentation and classification based on filtering with the Haar-wavelet. Journal of New Music Research 42:4, pages 325-345.
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Articles from other publishers (18)

David Meredith. 2023. Culture and Computing. Culture and Computing 309 325 .
Patrick E. Savage, Sam Passmore, Gakuto Chiba, Thomas E. Currie, Haruo Suzuki & Quentin D. Atkinson. (2022) Sequence alignment of folk song melodies reveals cross-cultural regularities of musical evolution. Current Biology 32:6, pages 1395-1402.e8.
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Aravind Krishnan, Amal Vincent, Geevar Jos & Rajeev Rajan. (2021) Multimodal Fusion for Segment Classification in Folk Music. Multimodal Fusion for Segment Classification in Folk Music.
Cornelia Metzig, Matthew Gould, Roshan Noronha, Roshani Abbey, Mark Sandler & Caroline Colijn. (2020) Classification of origin with feature selection and network construction for folk tunes. Pattern Recognition Letters 133, pages 356-364.
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Ziming Li & Shengchen Li. 2020. Proceedings of the 7th Conference on Sound and Music Technology (CSMT). Proceedings of the 7th Conference on Sound and Music Technology (CSMT) 121 130 .
Kerstin Neubarth & Darrell Conklin. 2020. Machine Learning and Knowledge Discovery in Databases. Machine Learning and Knowledge Discovery in Databases 502 508 .
Peter van Kranenburg, Martine de Bruin & Anja Volk. (2017) Documenting a song culture: the Dutch Song Database as a resource for musicological research. International Journal on Digital Libraries 20:1, pages 13-23.
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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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Nadine Kroher & José-Miguel Díaz-Báñez. (2017) Audio-Based Melody Categorization: Exploring Signal Representations and Evaluation Strategies. Computer Music Journal 41:4, pages 64-82.
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Kaustuv Kanti Ganguli, Ashwin Lele, Saurabh Pinjani, Preeti Rao, Ajay Srinivasamurthy & Sankalp Gulati. (2017) Melodic shape stylization for robust and efficient motif detection in Hindustani vocal music. Melodic shape stylization for robust and efficient motif detection in Hindustani vocal music.
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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Satoshi Kawamura & Hitoaki Yoshida. 2016. Trends in Applied Knowledge-Based Systems and Data Science. Trends in Applied Knowledge-Based Systems and Data Science 574 586 .
Kerstin Neubarth & Darrell Conklin. 2016. Computational Music Analysis. Computational Music Analysis 393 424 .
Dorien Herremans, David Martens & Kenneth Sörensen. 2016. Computational Music Analysis. Computational Music Analysis 369 392 .
Gissel Velarde, David Meredith & Tillman Weyde. 2016. Computational Music Analysis. Computational Music Analysis 303 333 .
David Meredith. (2014) Compression-based geometric pattern discovery in music. Compression-based geometric pattern discovery in music.
Bob L. Sturm. 2014. Adaptive Multimedia Retrieval: Semantics, Context, and Adaptation. Adaptive Multimedia Retrieval: Semantics, Context, and Adaptation 29 66 .
Ruben Hillewaere, Bernard Manderick & Darrell Conklin. 2014. Data Analysis, Machine Learning and Knowledge Discovery. Data Analysis, Machine Learning and Knowledge Discovery 369 377 .

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