Evaluation of implicit broad phonemic segmentation of speech signals using pitchmarks

In this paper, we evaluate an implicit approach for the automatic detection of broad phonemic class boundaries of continuous speech signals. The reported method is consisted of the prior segmentation of speech signal into pitch-synchronous segments, using pitchmarks location, for the computation of adjacent broad phonemic class boundaries. The approach's validity was tested on a phonetically rich speech corpus of Greek language as well as on the DARPA-TIMIT American-English language corpus. Our framework's results were very promising since by this method we achieved 25 msec accuracy of 76% and 74,9% respectively, without presenting over-segmentation on the speech signal.