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. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Natsui, M., Kubo, S., & Tadokoro, Y. (2008). GA-based approach to pitch recognition of musical consonance. In Lecture Notes in Electrical Engineering (Vol. 15, pp. 327–338). https://doi.org/10.1007/978-3-540-79142-3_25
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