Fundamental frequency estimation by least-squares harmonic model fitting

András Bánhalmi, K. Kovács, András Kocsor, László Tóth

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

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
Title of host publication9th European Conference on Speech Communication and Technology
Pages305-308
Number of pages4
Publication statusPublished - 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

Frequency estimation
Autocorrelation
Testing

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. In 9th European Conference on Speech Communication and Technology (pp. 305-308)

Fundamental frequency estimation by least-squares harmonic model fitting. / Bánhalmi, András; Kovács, K.; Kocsor, András; Tóth, László.

9th European Conference on Speech Communication and Technology. 2005. p. 305-308.

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

Bánhalmi, A, Kovács, K, Kocsor, A & Tóth, L 2005, Fundamental frequency estimation by least-squares harmonic model fitting. in 9th European Conference on Speech Communication and Technology. pp. 305-308, 9th European Conference on Speech Communication and Technology, Lisbon, Portugal, 9/4/05.
Bánhalmi A, Kovács K, Kocsor A, Tóth L. Fundamental frequency estimation by least-squares harmonic model fitting. In 9th European Conference on Speech Communication and Technology. 2005. p. 305-308
Bánhalmi, András ; Kovács, K. ; Kocsor, András ; Tóth, László. / Fundamental frequency estimation by least-squares harmonic model fitting. 9th European Conference on Speech Communication and Technology. 2005. pp. 305-308
@inproceedings{d441ee8d0c724f36a917b010971ec745,
title = "Fundamental frequency estimation by least-squares harmonic model fitting",
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.",
author = "Andr{\'a}s B{\'a}nhalmi and K. Kov{\'a}cs and Andr{\'a}s Kocsor and L{\'a}szl{\'o} T{\'o}th",
year = "2005",
language = "English",
pages = "305--308",
booktitle = "9th European Conference on Speech Communication and Technology",

}

TY - GEN

T1 - Fundamental frequency estimation by least-squares harmonic model fitting

AU - Bánhalmi, András

AU - Kovács, K.

AU - Kocsor, András

AU - Tóth, László

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=33745184026&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33745184026&partnerID=8YFLogxK

M3 - Conference contribution

SP - 305

EP - 308

BT - 9th European Conference on Speech Communication and Technology

ER -