Automatic Parameter Estimation for a Context-Independent Speech Segmentation Algorithm

In the framework of a recently introduced algorithm for speech phoneme segmentation, a novel strategy has been elaborated for comparing different speech encoding methods and for finding parameters which are optimal to the algorithm. The automatic procedure that implements this strategy allows to improve previously declared performances and poses the basis for a more accurate comparison between the investigated segmentation system and other segmentation methods proposed in literature.