A correcting formula for the estimation of harmonics-to-noise ratios (HNR) based on ensemble-averaging techniques is derived. The original method yields a biased approximation which is more accurate as the number of averaged pulses (N) increases. However, the method treats gradual waveform changes incorrectly as noise, which is worsened for large values of N. The obtained formula allows the use of as few averaged pulses as desired, while allowing the complete removal of the bias from the estimate of HNR.

No abstract

No abstract

No abstract

Abstract. This paper addresses the comparison of Pitch Detection Algorithms working on a cycle to cycle basis. An alignment problem between detected and reference pitch contours is described and a Dynamic Time Warping procedure to correct it is proposed. The method is evaluated using hand-marked real signals and three well known Pitch Detection Algorithms. Results demonstrate the occurrence of shifts in practice and the usefulness of the proposed Dynamic Time Warping procedure.