A Time Reduction Algorithm Using Vowel Classification for Large-Vocabulary Speech Recognition

In this paper, a time reduction algorithm for large-vocabulary speech rec­ ognition has been studied. To reduce the recognition time, vowel was classi­ fied according to its formant information based on linear prediction analysis. Formant extraction was done in the assumed vowel regions. To segment vowel regions we used acoustic features such as energy, zero crossing rate and filter bank outputs. Computer simulation was done to test the time re­ duction algorithm with 1160 words. Simulation results show that the recogni­ tion rate is about 97% and the time for recognition can be reduced by 80% as compared to the case without the reduction algorithm.