Abstract
We have proposed a speech-displaying system [2] [7] based on the spectral estimation of speech signals. The system, named KanNon system, can display a speaker's individual difference and feeling such that it will be useful for a communication tool for a hardness-of-hearing person. In this paper, we show identification algorithms of two time series models with white noise and impulse inputs for spectral estimation of vowels and consonants of speech signals. Further, we apply the likelihood ratio test to distinguish vowel from consonant of a frame of speech data.
