Abstract
In this paper, we consider phoneme segment discrimination and consonant recognition in order to improve the real-time speech visualization system called ”KanNon”. We show the structure of the system, then we explain the processing of sound signals. The features of the speech signals are obtained by fitting the Auto-Regressive (AR) model to the signals, and phoneme segment discrimination and phoneme recognition are carried out with the features. In addition, we work out experiment of phoneme recognition, and we consider to apply the methods to ”KanNon”.
