Convolutional Methods for Music Analysis

Gissel Velarde

Research output: Book/Report › Ph.D. thesis › Research

915 Downloads (Pure)
Original languageEnglish
PublisherAalborg Universitetsforlag
Number of pages164
ISBN (Electronic)978-87-7112-887-1
DOIs
Publication statusPublished - 2017
SeriesPh.d.-serien for Det Tekniske Fakultet for IT og Design, Aalborg Universitet
ISSN2446-1628

Keywords

  • Convolution
  • music analysis
  • classification
  • pattern discovery
  • filtering
  • wavelets
  • segmentation
  • machine learning

Cite this

Velarde, G. (2017). Convolutional Methods for Music Analysis. Aalborg Universitetsforlag. Ph.d.-serien for Det Tekniske Fakultet for IT og Design, Aalborg Universitet https://doi.org/10.5278/vbn.phd.tech.00005
Velarde, Gissel. / Convolutional Methods for Music Analysis. Aalborg Universitetsforlag, 2017. 164 p. (Ph.d.-serien for Det Tekniske Fakultet for IT og Design, Aalborg Universitet).
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author = "Gissel Velarde",
note = "PhD supervisor: Associate Professor David Meredith, Aalborg University Assistant PhD supervisor: Senior Lecturer Tillman Weyde, City, University of London",
year = "2017",
doi = "10.5278/vbn.phd.tech.00005",
language = "English",
publisher = "Aalborg Universitetsforlag",

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Velarde, G 2017, Convolutional Methods for Music Analysis. Ph.d.-serien for Det Tekniske Fakultet for IT og Design, Aalborg Universitet, Aalborg Universitetsforlag. https://doi.org/10.5278/vbn.phd.tech.00005

Convolutional Methods for Music Analysis. / Velarde, Gissel.

Aalborg Universitetsforlag, 2017. 164 p.

Research output: Book/Report › Ph.D. thesis › Research

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PY - 2017

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KW - Convolution

KW - music analysis

KW - classification

KW - pattern discovery

KW - filtering

KW - wavelets

KW - segmentation

KW - machine learning

U2 - 10.5278/vbn.phd.tech.00005

DO - 10.5278/vbn.phd.tech.00005

M3 - Ph.D. thesis

BT - Convolutional Methods for Music Analysis

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Velarde G. Convolutional Methods for Music Analysis. Aalborg Universitetsforlag, 2017. 164 p. (Ph.d.-serien for Det Tekniske Fakultet for IT og Design, Aalborg Universitet). https://doi.org/10.5278/vbn.phd.tech.00005

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