Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICME.2006.262676
Title: A hierarchical approach for music chord modeling based on the analysis of tonal characteristics
Authors: Maddage, N.C.
Kankanhalli, M.S. 
Li, H.
Issue Date: 2006
Source: Maddage, N.C., Kankanhalli, M.S., Li, H. (2006). A hierarchical approach for music chord modeling based on the analysis of tonal characteristics. 2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings 2006 : 945-948. ScholarBank@NUS Repository. https://doi.org/10.1109/ICME.2006.262676
Abstract: This paper first discusses how the signal segmentation and tonal characteristics of music notes effect in music chord detection. Two approaches, pitch class profile approach and psycho-acoustical approach, which differently represent these tonal characteristics, are examined for chord detection. The analysis of the tonal characteristics reveals that not only the fundamental frequency of music note but also its harmonics and sub-harmonies in different octaves contribute for detecting related music chord. A hierarchical approach, which transforms the music chord tonal characteristics in each octave onto probabilistic space, is then proposed for modeling the music chord. Our experimental results show that detection of chord type, Major, Minor, Diminish, and Augmented, and individual chords, 12 chords per chord type, are improved with the proposed hierarchical chord modeling approach. Experimental results also reveal that the tempo proportional signal segmentation is more effective extracting tonal characteristics than using fixed length segmentation. © 2006 IEEE.
Source Title: 2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings
URI: http://scholarbank.nus.edu.sg/handle/10635/41386
ISBN: 1424403677
DOI: 10.1109/ICME.2006.262676
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