Hybrid electroglottograph and speech signal based algorithm for pitch marking
Hussein Hussein, Oliver Jokisch · 2007
Pitch marking is very significant in speech signal processing. In a text-to-speech (TTS) system based on the Time-Domain Pitch-Synchronous Overlap-Add (TD-PSOLA) method, robust estimation of pitch marks (PM) is especially important to the modification of the time and pitch scale of a speech signal in order to match it to that of the target speaker. The aim of this paper is to improve the accuracy of automatic Pitch Mark Al-gorithms (PMA). Therefore, we propose a hybrid method for pitch marking that combines the advantages of the Electroglot-tograph (EGG) and the speech signals. We evaluate this hybrid algorithm for pitch marking against pitch mark algorithm used by Praat program [1]. The results of the evaluation indicate that the suggested method provides better performance than PMA based on EGG signal or speech signal. Index Terms: Speech synthesis, Pitch marking 1.