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Authors: Masanori Natsui ; Shunichi Kubo and Yoshiaki Tadokoro

Affiliation: Toyohashi University of Technology, Japan

Keyword(s): Pitch recognition, Genetic algorithm, Musical consonance, Template matching.

Related Ontology Subjects/Areas/Topics: Adaptive Signal Processing and Control ; Informatics in Control, Automation and Robotics ; Nonlinear Signals and Systems ; Optimization Problems in Signal Processing ; Signal Processing, Sensors, Systems Modeling and Control

Abstract: This paper presents a novel method for the pitch recognition of the musical consonance (i.e., unison or octave) using genetic algorithm (GA). GA is a kind of optimization techniques based on natural selection and genetics. In our method, the pitch recognition is performed by the following two-step procedure: (i) search space reduction using the comb filter estimation, and (ii) evolutionary parameter estimation of tone parameters such as notes and volumes by minimizing error between a target waveform and a synthesized waveform using sound templates with estimated parameters. The potential capability of the system is demonstrated through the pitch estimation of randomly-generated consonances. Experimental results show that the system can successfully estimate chords with more than 84% success rate for two-note consonances, and more than 71% success rate for three-note consonances.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Natsui, M.; Kubo, S. and Tadokoro, Y. (2006). GA-BASED APPROACH TO PITCH RECOGNITION OF MUSICAL CONSONANCE. In Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO; ISBN 978-972-8865-61-0; ISSN 2184-2809, SciTePress, pages 47-52. DOI: 10.5220/0001209400470052

@conference{icinco06,
author={Masanori Natsui. and Shunichi Kubo. and Yoshiaki Tadokoro.},
title={GA-BASED APPROACH TO PITCH RECOGNITION OF MUSICAL CONSONANCE},
booktitle={Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO},
year={2006},
pages={47-52},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001209400470052},
isbn={978-972-8865-61-0},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO
TI - GA-BASED APPROACH TO PITCH RECOGNITION OF MUSICAL CONSONANCE
SN - 978-972-8865-61-0
IS - 2184-2809
AU - Natsui, M.
AU - Kubo, S.
AU - Tadokoro, Y.
PY - 2006
SP - 47
EP - 52
DO - 10.5220/0001209400470052
PB - SciTePress