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.