Real-time speaker-dependent syllable recognition system of complete vocabulary of Chinese

Based on a large number of speech experiments, Mandarin speech recognition approaches were thoroughly studied, and a real-time speaker-dependent all-syllable recognition system of Mandarin was developed on an IBM PC/AT microcomputer with a high-speed digital signal processing board TMS320C25-E. In accordance with the phonetic characteristics of Mandarin, the three-stage recognition strategy was adopted in this system. Experiments for the speech data of 4 times 1240 syllables show that, average correct rate of four tone recognition is about 99%, correct rates of the first 5 candidates of syllable recognition are 82%, 91%, 94%, 96%, and 97% respectively, and the whole system response time is less than 0.2 second. In addition, the Mandarin initials and finals confusion matrices, and the corresponding hierarchical clustering diagram of the similarity were obtained from the experiment results, and they were analyzed in comparison with the references so as to further improve the system performance.