Citations (23)
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Read on this site (8)
Fabian C. Moss, Markus Neuwirth & Martin Rohrmeier. (2023) The line of fifths and the co-evolution of tonal pitch-classes. Journal of Mathematics and Music 17:2, pages 173-197.
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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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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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Brian Bemman & David Meredith. (2016) Generating Milton Babbitt’s All-Partition Arrays. Journal of New Music Research 45:2, pages 184-204.
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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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Sigalit Hed, Robert O. Gjerdingen & David Levin. (2015) Pitch-and-rhythm interrelationships and musical patterns: Analysis and modelling by subdivision schemes. Journal of Mathematics and Music 9:1, pages 45-73.
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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 (15)
David Meredith. 2023. Culture and Computing. Culture and Computing
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Zongyu Yin, Federico Reuben, Susan Stepney & Tom Collins. (2022) Measuring When a Music Generation Algorithm Copies Too Much: The Originality Report, Cardinality Score, and Symbolic Fingerprinting by Geometric Hashing. SN Computer Science 3:5.
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Fabian C. Moss & Martin Rohrmeier. (2021) Discovering Tonal Profiles with Latent Dirichlet Allocation. Music & Science 4, pages 205920432110488.
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Zongyu Yin, Federico Reuben, Susan Stepney & Tom Collins. 2021. Artificial Intelligence in Music, Sound, Art and Design. Artificial Intelligence in Music, Sound, Art and Design
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Tom Collins, Robin Laney, Alistair Willis & Paul H. Garthwaite. (2015) Developing and evaluating computational models of musical style. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 30:1, pages 16-43.
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David Temperley. 2013. The Psychology of Music. The Psychology of Music
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Aline K. Honingh. (2009) Compactness in the Euler-Lattice: A Parsimonious Pitch Spelling Model. Musicae Scientiae 13:1, pages 117-138.
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David Meredith. (2007) Optimizing Chew and Chen's Pitch-Spelling Algorithm. Computer Music Journal 31:2, pages 54-72.
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Olivier Lartillot & Petri Toiviainen. (2016) Motivic matching strategies for automated pattern extraction. Musicae Scientiae 11:1_suppl, pages 281-314.
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