Abstract
This paper describes analysis and recognition of eight Korean isolated vowels based on the distributions of formant frequencies. In the distributions of vowels on the F1-F2 plane, we found overlappings between the vowels /u/, /o/, /∂/ and /w/, /ε/ and /e/ overlapped heavily as if they are the same vowels. In the comparative investigation of the dialect of Seoul and Kyungsangdo, Kyungsangdo dialect showed a heavy overlapping between /∂/ and /w/. As a recognition experiment, the speaker-independent recognition with Bayes decision method was carried out for 1, 760 isolated vowels spoken by 20 speakers. A recognition rate of 81.2% correct was obtained with the formant frequencies F1 and F2while the rate with LPC cepstrum coefficients was only 76.4%. Normalization for eliminating inter-speaker differences showed good results for vowels uttered by speakers of the same dialect. The highest recognition rate of 99.8 % was obtained using a supervised learning method.
