Detail publikace
Music Information Retrieval Techniques for Determining the Place of Origin of a Music Interpretation
Originální název
Music Information Retrieval Techniques for Determining the Place of Origin of a Music Interpretation
Anglický název
Music Information Retrieval Techniques for Determining the Place of Origin of a Music Interpretation
Jazyk
en
Originální abstrakt
Determining the place of origin of musical compositions is a modern area of research in the field of music information retrieval (MIR). A musical interpretation of one piece carries a variety of author’s intentions that influence the musical character of 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 Sonata”: 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 MIR for determining the origin of a music interpretation with very high accuracy.
Anglický abstrakt
Determining the place of origin of musical compositions is a modern area of research in the field of music information retrieval (MIR). A musical interpretation of one piece carries a variety of author’s intentions that influence the musical character of 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 Sonata”: 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 MIR for determining the origin of a music interpretation with very high accuracy.
BibTex
@inproceedings{BUT149606,
author="Tomáš {Kiska} and Zoltán {Galáž} and Vojtěch {Zvončák} and Ján {Mucha} and Jiří {Mekyska}",
title="Music Information Retrieval Techniques for Determining the Place of Origin of a Music Interpretation",
annote="Determining the place of origin of musical compositions is a modern area of research in the field of music information retrieval (MIR). A musical interpretation of one piece carries a variety of author’s intentions that influence the musical character of 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 Sonata”: 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 MIR for determining the origin of a music interpretation with very high accuracy.",
booktitle="10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)",
chapter="149606",
doi="10.1109/ICUMT.2018.8631268",
howpublished="online",
year="2018",
month="november",
pages="238--242",
type="conference paper"
}