@inproceedings{43e028cf68184fa480599b8c023eff9e,
title = "GA-based approach to pitch recognition of musical consonance",
abstract = "This chapter 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 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.",
keywords = "Genetic algorithm, Musical consonance, Pitch recognition, Template matching",
author = "Masanori Natsui and Shunichi Kubo and Yoshiaki Tadokoro",
year = "2008",
month = jun,
day = "20",
doi = "10.1007/978-3-540-79142-3_25",
language = "English",
isbn = "9783540791416",
series = "Lecture Notes in Electrical Engineering",
pages = "327--338",
booktitle = "Informatics in Control Automation and Robotics",
}