Music Information Retrieval Techniques for Determining the
Place of Origin of a Music Interpretation

D 2018

Music Information Retrieval Techniques for Determining the Place of Origin of a Music Interpretation

KISKA, Tomáš, Zoltán GALÁŽ, V. ZVONCAK, J. MUCHA, J. MEKYSKA et. al.

Basic information

Original name

Music Information Retrieval Techniques for Determining the Place of Origin of a Music Interpretation

Authors

KISKA, Tomáš (203 Czech Republic, belonging to the institution), Zoltán GALÁŽ (703 Slovakia, guarantor, belonging to the institution), V. ZVONCAK, J. MUCHA, J. MEKYSKA and Z. SMEKAL

Edition

NEW YORK, 2018 10TH INTERNATIONAL CONGRESS ON ULTRA MODERN TELECOMMUNICATIONS AND CONTROL SYSTEMS AND WORKSHOPS (ICUMT 2018): EMERGING TECHNOLOGIES FOR CONNECTED SOCIETY, p. "IEEE, IEEE Reg 8"-"4", 5 pp. 2018

Publisher

IEEE

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

30103 Neurosciences

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

RIV identification code

RIV/00216224:14740/18:00113776

Organization unit

Central European Institute of Technology

ISBN

978-1-5386-9360-5

ISSN

DOI

http://dx.doi.org/10.1109/ICUMT.2018.8631268

UT WoS

000459238500070

Keywords in English

music analysis; musical features; feature calculation; music synchronization; dynamic time warping; audio-to-audio alignment; music information retrieval

Abstract

V originále

Determining the place of origin of the musical compositions is a modern area of research in the field of music information retrieval (MIR). The musical interpretation of one piece carries a variety of author's intentions that influence the musical character of the resulting composition. These aspects may include rhythm, dynamics, timbre, or tonality. This paper introduces a novel methodology for determining the place of origin of a music interpretation based on advanced signal processing and machine learning techniques. For this purpose, we collected a database of 35 different interpretations of Leos Janacek's String Quartet No. 1, "Kreutzer Sonat": IV. Con Moto - Adagio. Employing random forests classifier, we achieved classification accuracy over 97% using features derived from Mel-frequency cepstral coefficients. This paper proves it is possible to use MRI for determining the origin of a music interpretation with very high accuracy.

Citovat

KISKA, Tomáš, Zoltán GALÁŽ, V. ZVONCAK, J. MUCHA, J. MEKYSKA and Z. SMEKAL. Music Information Retrieval Techniques for Determining the Place of Origin of a Music Interpretation. Online. In 2018 10TH INTERNATIONAL CONGRESS ON ULTRA MODERN TELECOMMUNICATIONS AND CONTROL SYSTEMS AND WORKSHOPS (ICUMT 2018): EMERGING TECHNOLOGIES FOR CONNECTED SOCIETY. NEW YORK: IEEE, 2018, p. "IEEE, IEEE Reg 8"-"4", 5 pp. ISBN 978-1-5386-9360-5. Available from: https://dx.doi.org/10.1109/ICUMT.2018.8631268.

@inproceedings{1649163,
   author = {Kiska, Tomáš and Galáž, Zoltán and Zvoncak, V. and Mucha, J. and Mekyska, J. and Smekal, Z.},
   address = {NEW YORK},
   booktitle = {2018 10TH INTERNATIONAL CONGRESS ON ULTRA MODERN TELECOMMUNICATIONS AND CONTROL SYSTEMS AND WORKSHOPS (ICUMT 2018): EMERGING TECHNOLOGIES FOR CONNECTED SOCIETY},
   doi = {http://dx.doi.org/10.1109/ICUMT.2018.8631268},
   keywords = {music analysis; musical features; feature calculation; music synchronization; dynamic time warping; audio-to-audio alignment; music information retrieval},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {NEW YORK},
   isbn = {978-1-5386-9360-5},
   pages = {"IEEE, IEEE Reg 8"-"4"},
   publisher = {IEEE},
   title = {Music Information Retrieval Techniques for Determining the Place of Origin of a Music Interpretation},
   year = {2018}
}

TY  - JOUR
ID  - 1649163
AU  - Kiska, Tomáš - Galáž, Zoltán - Zvoncak, V. - Mucha, J. - Mekyska, J. - Smekal, Z.
PY  - 2018
TI  - Music Information Retrieval Techniques for Determining the Place of Origin of a Music Interpretation
PB  - IEEE
CY  - NEW YORK
SN  - 9781538693605
KW  - music analysis
KW  - musical features
KW  - feature calculation
KW  - music synchronization
KW  - dynamic time warping
KW  - audio-to-audio alignment
KW  - music information retrieval
N2  - Determining the place of origin of the musical compositions is a modern area of research in the field of music information retrieval (MIR). The musical interpretation of one piece carries a variety of author's intentions that influence the musical character of the resulting composition. These aspects may include rhythm, dynamics, timbre, or tonality. This paper introduces a novel methodology for determining the place of origin of a music interpretation based on advanced signal processing and machine learning techniques. For this purpose, we collected a database of 35 different interpretations of Leos Janacek's String Quartet No. 1, "Kreutzer Sonat": IV. Con Moto - Adagio. Employing random forests classifier, we achieved classification accuracy over 97% using features derived from Mel-frequency cepstral coefficients. This paper proves it is possible to use MRI for determining the origin of a music interpretation with very high accuracy.
ER  -

KISKA, Tomáš, Zoltán GALÁŽ, V. ZVONCAK, J. MUCHA, J. MEKYSKA and Z. SMEKAL. Music Information Retrieval Techniques for Determining the Place of Origin of a Music Interpretation. Online. In \textit{2018 10TH INTERNATIONAL CONGRESS ON ULTRA MODERN TELECOMMUNICATIONS AND CONTROL SYSTEMS AND WORKSHOPS (ICUMT 2018): EMERGING TECHNOLOGIES FOR CONNECTED SOCIETY}. NEW YORK: IEEE, 2018, p.~''IEEE, IEEE Reg 8''-''4'', 5 pp. ISBN~978-1-5386-9360-5. Available from: https://dx.doi.org/10.1109/ICUMT.2018.8631268.

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