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Using chord distance descriptors to enhance music information retrieval: student research abstract

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F17%3A10360157" target="_blank" >RIV/00216208:11320/17:10360157 - isvavai.cz</a>

  • Result on the web

    <a href="http://dl.acm.org/citation.cfm?id=3019939" target="_blank" >http://dl.acm.org/citation.cfm?id=3019939</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/3019612.3019939" target="_blank" >10.1145/3019612.3019939</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Using chord distance descriptors to enhance music information retrieval: student research abstract

  • Original language description

    Music Information Retrieval (MIR) is an established field that provides solutions to analyze, retrieve, classify, recommend, or visualize music. From many applications, however, only a fraction will provide results that are meaningful for musicians. Scoring functions may use descriptors that are difficult to describe for the end-user, and visualizations are often bound to signal aspects of music such as displaying waveform. We have developed a music analysis system which is based on music theory and contains visualizations meaningful for those interested in harmony aspects of music. Music is first segmented to chords by known techniques, providing the basis that musicians understand. From there, distances between chords are evaluated by a novel approach and new descriptors are formed, based on recent music theory studies. End-user can visualize the musical piece and find interesting sequences in a color temperature graph. While having the music visualized, user can retrieve similar musical pieces, understanding the similarity between the chord progressions.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the Symposium on Applied Computing

  • ISBN

    978-1-4503-4486-9

  • ISSN

  • e-ISSN

    neuvedeno

  • Number of pages

    2

  • Pages from-to

    963-964

  • Publisher name

    ACM

  • Place of publication

    New York, NY, USA

  • Event location

    Marrakech, Morocco

  • Event date

    Apr 3, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article