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

Kód výsledku v 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>

Nalezeny alternativní kódy

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

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

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

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

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

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

Lecture Notes in Computer Science. Volume 10244

ISBN

978-3-319-59104-9

ISSN

0302-9743

e-ISSN

neuvedeno

Počet stran výsledku

13

Strana od-do

205-217

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Białystok

Datum konání akce

16. 6. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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