Fundamental frequency estimation by least-squares harmonic model fitting

András Bánhalmi, Kornél Kovács, András Kocsor, László Tóth

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

This paper proposes a pitch estimation algorithm that is based on optimal harmonic model fitting. The algorithm operates directly on the time-domain signal and has a relatively simple mathematical background. To increase its efficiency and accuracy, the algorithm is applied in combination with an autocorrelation-based initialization phase. For testing purposes we compare its performance on pitch-annotated corpora with several conventional time-domain pitch estimation algorithms, and also with a recently proposed one. The results show that even the autocorrelation-based first phase significantly outperforms the traditional methods, and also slightly the recently proposed yin algorithm. After applying the second phase - the harmonic approximation step - the amount of errors can be further reduced by about 20% relative to the error obtained in the first phase.

Original languageEnglish
Pages305-308
Number of pages4
Publication statusPublished - Dec 1 2005
Event9th European Conference on Speech Communication and Technology - Lisbon, Portugal
Duration: Sep 4 2005Sep 8 2005

Other

Other9th European Conference on Speech Communication and Technology
CountryPortugal
CityLisbon
Period9/4/059/8/05

    Fingerprint

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Bánhalmi, A., Kovács, K., Kocsor, A., & Tóth, L. (2005). Fundamental frequency estimation by least-squares harmonic model fitting. 305-308. Paper presented at 9th European Conference on Speech Communication and Technology, Lisbon, Portugal.