Development of Japanese voice-activated word processor using isolated monosyllable recognition

This paper describes a newly developed voice-activated word processor and a two-stage recognition method to achieve a precise recognition of isolated monosyllables. At the first stage, the recognizer segments a monosyllable into an initial consonantal part and a final part (i.e., the vowel region), and computes similarities between the input speech and orthonormal mode functions of each consonantal segment which is designed from multiple speakers using K-L expansion and adapted to a new speaker ( Adaptive Multiple Similarity Method). At the second stage, frame-by-frame similarity scores, extracted at the phoneme recognizer using Multiple Similarity Method, are applied to candidate monosyllables to make a final decision. The average monosyllable recognition accuracy with six speakers was about 95%.