Acoustic processing in the conversational speech recognition system

Abstract

Structure and performance in an acoustic processor in the conversational speech recognition system, called Voice Q-A System II, are described, together with a comparison with the old system. The acoustic processor adopts the LPC peak weighted spectral matching measure. The acoustic processor is much improved on phoneme segmentation and vowel recognition. The task is train seat reservation service, which contains 112 words. Input is conversational speech with a short pause between adjacent phrases. The recognition test was made on the acoustic processor, which is connected with the linguistic processor. Results show 96.9% phrase recognition rate and 66.8% phoneme recognition rate on the average for nine male speakers.