Computer music

Results: 2429



#Item
21

A SUPERVISED APPROACH FOR DETECTING BOUNDARIES IN MUSIC USING DIFFERENCE FEATURES AND BOOSTING Douglas Turnbull1 , Gert Lanckriet2 Computer Science & Engineering1 Electrical & Computer Engineering2 University of Californ

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Source URL: ismir2007.ismir.net

- Date: 2014-01-23 13:03:08
    22

    Musical rhythm spectra from Bach to Joplin obey a 1/f power law Daniel J. Levitina,1, Parag Chordiab, and Vinod Menonc,1 a Department of Psychology, School of Computer Science, and School of Music, McGill University, Mon

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    Source URL: daniellevitin.com

    - Date: 2012-04-26 15:13:42
      23

      Proceedings of the International Computer Music Conference (ICMC) June 1–5, 2010, New York A MODULAR SOUND DESCRIPTOR ANALYSIS FRAMEWORK FOR RELAXED-REAL-TIME APPLICATIONS Diemo Schwarz, Norbert Schnell IRCAM–CNRS S

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      Source URL: articles.ircam.fr

      - Date: 2010-08-09 13:31:54
        24

        13th International Society for Music Information Retrieval Conference (ISMIRHYPERGRAPH MODELS OF PLAYLIST DIALECTS Brian McFee Computer Science and Engineering University of California, San Diego

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        Source URL: eceweb.ucsd.edu

        - Date: 2015-07-31 19:00:26
          25

          Processes in real-time computer music Miller Puckette Department of Music University of California, San Diego

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          Source URL: msp.ucsd.edu

          - Date: 2016-07-05 15:33:38
            26

            A PARADIGM FOR SCORING SPATIALIZATION NOTATION Emile Ellberger Institute for Computer Music and Sound Technology, Zurich University of the Arts

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            Source URL: tenor2015.tenor-conference.org

            - Date: 2015-05-21 11:24:42
              27

              J74 – V-Module – Page 1 Introduction I love improvisation and, at the same time electronic / computer-based music. Many Ableton Live users will recognize this duality as their own. On the other side I am a visual pe

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              Source URL: www.fabriziopoce.com

              - Date: 2013-05-27 12:12:26
                28

                COMBINING FEATURE KERNELS FOR SEMANTIC MUSIC RETRIEVAL Luke Barrington Mehrdad Yazdani Douglas Turnbull∗ Gert Lanckriet ∗ Electrical & Computer Engineering,

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                Source URL: eceweb.ucsd.edu

                - Date: 2015-07-31 19:00:24
                  29

                  Enriching Music Information Retrieval Using Emotion Detection Lijuan Zhou, Hongfei Lin, Wenfei Liu School of Computer Science and Technology Dalian University of Technology No. 2 Linggong Road, Dalian, China

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                  Source URL: www.select.cs.cmu.edu

                  - Date: 2011-06-25 12:47:15
                    30

                    The Sound of Numbers A Tour of Mathematical Music Theory Rachel Wells Hall Department of Mathematics and Computer Science Saint Joseph’s University

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                    Source URL: people.sju.edu

                    - Date: 2008-05-31 17:31:12
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