VCV Segmentation and phoneme recognition in continuous speech

An algorithm for phoneme recognition in continuous speech is described. The main features of this algorithm are the SElf-Adjusted SEGmentation (SEASEG), a method for segmenting continuous speech into a CV or VCV level, and novel consonant recognition, a new method for weighting a distance measure according to the speech transition information. Experimental results confirm a vowel interval segmentation rate of 97.4 % and a consonant recognition score of 85 % for a specified speaker.