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@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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