Performance evaluation of a ACF-AMDF based pitch detection scheme in real-time

Abstract

In this paper, a complete speech analysis-synthesis system for a pitch detection algorithm based on short-time autocorrelation function (ACF) and average magnitude difference function (AMDF) has been implemented in real-time using TMS320C6713 DSK. Performance of this system has been compared with the analysis-synthesis system that use autocorrelation, cepstrum and wavelet based pitch detection method in terms of synthesized speech quality, Diagnostic Rhyme Test, execution time and memory consumption. Results show that this method of pitch detection scheme is the best in terms of speech quality, execution time and memory consumption. Moreover the synthesized speech using ACF-AMDF method of pitch detection is more intelligible compared to other pitch detection algorithm.