GA-based approach to pitch recognition of musical consonance

Masanori Natsui, Shunichi Kubo, Yoshiaki Tadokoro

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationICINCO 2006 - 3rd International Conference on Informatics in Control, Automation and Robotics, Proceedings
Pages47-52
Number of pages6
Publication statusPublished - 2006 Dec 1
Externally publishedYes
Event3rd International Conference on Informatics in Control, Automation and Robotics, ICINCO 2006 - Setubal, Portugal
Duration: 2006 Aug 12006 Aug 5

Publication series

NameICINCO 2006 - 3rd International Conference on Informatics in Control, Automation and Robotics, Proceedings
VolumeSPSMC

Other

Other3rd International Conference on Informatics in Control, Automation and Robotics, ICINCO 2006
Country/TerritoryPortugal
CitySetubal
Period06/8/106/8/5

Keywords

  • Genetic algorithm
  • Musical consonance
  • Pitch recognition
  • Template matching

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Information Systems
  • Control and Systems Engineering

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