DocumentCode
259653
Title
Supervised Music Chord Recognition
Author
Rida, Imad ; Herault, Romain ; Gasso, Gilles
Author_Institution
INSA de Rouen, Normandie Univ., St. Étienne-du-Rouvray, France
fYear
2014
fDate
3-6 Dec. 2014
Firstpage
336
Lastpage
341
Abstract
Chord represents the back-bone of occidental music genre as it contains rich harmonic information which is useful for various music applications such as music genre classification or music retrieval. Hence, chord recognition or transcription is of importance for music representation. In this paper we focus on chord recognition and especially investigate different features representation used in such a system: classical features as well as a new type of feature we propose are explored. We evaluate their usefulness through a multi-class chord classification problem.
Keywords
music; feature representation; harmonic information; multiclass chord classification; music representation; music retrieval; occidental music genre classification; supervised music chord recognition; Feature extraction; Harmonic analysis; Hidden Markov models; Kernel; Spectrogram; Training; Vectors; Music; chord; feature;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Applications (ICMLA), 2014 13th International Conference on
Conference_Location
Detroit, MI
Type
conf
DOI
10.1109/ICMLA.2014.60
Filename
7033137
Link To Document