A new pitch detection scheme based on ACF and AMDF

Abstract

A new pitch detection scheme has been proposed based on the short-time autocorrelation function (ACF) and average magnitude difference function (AMDF). The performance of the proposed scheme has been evaluated, through simulation, in a complete speech analysis-synthesis system. For detection of pitch, local maxima of ACF and local minima of AMDF values are computed. To reduce computational complexity, the original speech signal is converted into a three level signal before computing ACF and AMDF. Synthesized speech quality, computational complexity and time taken during simulation are the parameters that have been considered while comparing this system with the analysis-synthesis systems that use autocorrelation, cepstrum and wavelet based pitch detection methods. Results for different speech signals show that this new method of pitch detection is the best in terms of speech quality and computational complexity.