Interspeech'2005 - Eurospeech

Lisbon, Portugal
September 4-8, 2005

Fundamental Frequency Estimation by Least-Squares Harmonic Model Fitting

András Bánhalmi, Kornél Kovács, András Kocsor, László Tóth

Hungarian Academy of Sciences, Hungary

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.

Full Paper

Bibliographic reference.  Bánhalmi, András / Kovács, Kornél / Kocsor, András / Tóth, László (2005): "Fundamental frequency estimation by least-squares harmonic model fitting", In INTERSPEECH-2005, 305-308.