KaraMIR: A project for cover song identification and singing voice analysis using a karaoke songs dataset

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F18%3A10378483" target="_blank" >RIV/00216208:11320/18:10378483 - isvavai.cz</a>

Alternative codes found

RIV/61989100:27740/18:10240408

Result on the web

<a href="https://www.worldscientific.com/doi/abs/10.1142/S1793351X18400202" target="_blank" >https://www.worldscientific.com/doi/abs/10.1142/S1793351X18400202</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1142/S1793351X18400202" target="_blank" >10.1142/S1793351X18400202</a>

Result language

angličtina

Original language name

KaraMIR: A project for cover song identification and singing voice analysis using a karaoke songs dataset

Original language description

We introduce KaraMIR, a musical project dedicated to karaoke song analysis. Within KaraMIR we define Kara1k, a dataset composed of 1,000 cover songs provided by Recisio Karafun application, and the corresponding 1,000 songs by the original artists. Kara1k is mainly dedicated toward cover song identification and singing voice analysis. For both tasks, Kara1k offers novel approaches, as each cover song is a studio-recorded song with the same arrangement as the original recording, but with different singers and musicians. Essentia, harmony-analyser, Marsyas, Vamp plugins and YAAFE have been used to extract audio features for each track in Kara1k. We provide metadata such as the title, genre, original artist, year, International Standard Recording Code and the ground truths for the singer&apos;s gender, backing vocals, duets, and lyrics&apos; language. KaraMIR project focuses on defining new problems and describing features and tools to solve them. We thus provide a comparison of traditional and new features for a cover song identification task using statistical methods, as well as the dynamic time warping method on chroma, MFCC, chords, keys, and chord distance features. A supporting experiment on the singer gender classification task is also proposed. The KaraMIR project website facilitates the continuous research.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

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

Project

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

Continuities

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

Publication year

2018

Confidentiality

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

Name of the periodical

International Journal of Semantic Computing

ISSN

1793-351X

e-ISSN

—

Volume of the periodical

12

Issue of the periodical within the volume

4

Country of publishing house

SG - SINGAPORE

Number of pages

22

Pages from-to

501-522

UT code for WoS article

000453524500003

EID of the result in the Scopus database

2-s2.0-85058802251