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Evaluation of chord and chroma features and dynamic time warping scores on cover song identification task

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F17%3A10237430" target="_blank" >RIV/61989100:27240/17:10237430 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11320/17:10360159 RIV/61989100:27740/17:10237430

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007%2F978-3-319-59105-6_18" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-319-59105-6_18</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-59105-6_18" target="_blank" >10.1007/978-3-319-59105-6_18</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Evaluation of chord and chroma features and dynamic time warping scores on cover song identification task

  • Original language description

    Cover song identification has been a popular task within music information retrieval in the 20th century. The task is to identify a different version or performance of a previously recorded song. Unlike audio search for an exact matching song, this task has not yet been popularized among users, due to an ambiguous definition of a cover song and the complexity of the problem. With a great variety of methods proposed on the benchmarking challenges, it is increasingly difficult to compare advantages and disadvantages of the features and algorithms. We provide a comparison of three levels of feature extraction (chroma features, chroma vector distances, chord distances) and show how each level affects the results. We further distinguish five scores for dynamic time warping method, to find the best performance in conjunction with the features. Results were evaluated on covers80 and SecondHandSongs datasets and compared to the state-of-the-art. © IFIP International Federation for Information Processing 2017.

  • 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

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

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

    Lecture Notes in Computer Science. Volume 10244

  • ISBN

    978-3-319-59104-9

  • ISSN

    0302-9743

  • e-ISSN

    neuvedeno

  • Number of pages

    13

  • Pages from-to

    205-217

  • Publisher name

    Springer

  • Place of publication

    Cham

  • Event location

    Białystok

  • Event date

    Jun 16, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article