ISCA Archive Interspeech 2005
ISCA Archive Interspeech 2005

Fundamental frequency estimation by least-squares harmonic model fitting

András Bánhalmi, Kornél Kovács, András Kocsor, László Tóth

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.

doi: 10.21437/Interspeech.2005-170

Cite as: Bánhalmi, A., Kovács, K., Kocsor, A., Tóth, L. (2005) Fundamental frequency estimation by least-squares harmonic model fitting. Proc. Interspeech 2005, 305-308, doi: 10.21437/Interspeech.2005-170

  author={András Bánhalmi and Kornél Kovács and András Kocsor and László Tóth},
  title={{Fundamental frequency estimation by least-squares harmonic model fitting}},
  booktitle={Proc. Interspeech 2005},