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KISKA, T. GALÁŽ, Z. ZVONČÁK, V. MUCHA, J. MEKYSKA, J. SMÉKAL, Z.
Original Title
Music Information Retrieval Techniques for Determining the Place of Origin of a Music Interpretation
Type
conference paper
Language
English
Original Abstract
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.
Keywords
music analysis; musical features; feature calculation; music synchronization; dynamic time warping; audio-to-audio alignment; music information retrieval.
Authors
KISKA, T.; GALÁŽ, Z.; ZVONČÁK, V.; MUCHA, J.; MEKYSKA, J.; SMÉKAL, Z.
Released
5. 11. 2018
Location
Moskva, Rusko
ISBN
978-1-5386-9360-5
Book
10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)
Pages from
238
Pages to
242
Pages count
5
BibTex
@inproceedings{BUT149606, author="KISKA, T. and GALÁŽ, Z. and ZVONČÁK, V. and MUCHA, J. and MEKYSKA, J. and SMÉKAL, Z.", title="Music Information Retrieval Techniques for Determining the Place of Origin of a Music Interpretation", booktitle="10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)", year="2018", pages="238--242", address="Moskva, Rusko", doi="10.1109/ICUMT.2018.8631268", isbn="978-1-5386-9360-5" }