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Journal of New Music Research Volume 42, 2013 - Issue 4
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Articles

An approach to melodic segmentation and classification based on filtering with the Haar-wavelet

Gissel VelardeAalborg University, Denmark.
,
Tillman WeydeCity University London, UK.
&
David MeredithAalborg University, Denmark.
Pages 325-345 | Published online: 16 Dec 2013

Citations (12)

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Read on this site (4)

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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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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David Meredith. (2015) Music Analysis and Point-Set Compression. Journal of New Music Research 44:3, pages 245-270.
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Articles from other publishers (8)

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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Zhenyu Lu, Yunan Qiu, You Fu & Bingjian Lu. (2018) An improved FCM method for image segmentation based on wavelet transform and particle swarm. An improved FCM method for image segmentation based on wavelet transform and particle swarm.
Matevž Pesek, Aleš Leonardis & Matija Marolt. (2017) SymCHM—An Unsupervised Approach for Pattern Discovery in Symbolic Music with a Compositional Hierarchical Model. Applied Sciences 7:11, pages 1135.
Crossref
Rodolfo Miranda Pereira & Carlos N. Silla. (2017) Using simplified chords sequences to classify songs genres. Using simplified chords sequences to classify songs genres.
Débora C. Corrêa & Francisco Ap. Rodrigues. (2016) A survey on symbolic data-based music genre classification. Expert Systems with Applications 60, pages 190-210.
Crossref
Sakurako YAZAWA, Masatoshi HAMANAKA & Takehito UTSURO. (2016) Subjective Melodic Similarity based on Extended Implication-Realization Model. International Journal of Affective Engineering 15:3, pages 249-257.
Crossref
Michele Della Ventura. 2016. Advanced Computational Methods for Knowledge Engineering. Advanced Computational Methods for Knowledge Engineering 281 293 .
Gissel Velarde, David Meredith & Tillman Weyde. 2016. Computational Music Analysis. Computational Music Analysis 303 333 .

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