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",
  howpublished="online",
  year="2018",
  month="november",
  pages="238--242",
  type="conference paper"
}