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논문 기본 정보

자료유형
학술대회자료
저자정보
Makino, Shozo (Graduate School of Information Sciences, Tohoku University) Okimoto, Yoshiyuki (Graduate School of Information Sciences, Tohoku University) Kido, Ken'iti (Chiba Institute of Technology, Tsudanuma) Kim, Hoi-Rin (Chiba Institute of Technology, Tsudanuma) Lee, Yong-Ju (Electronics and Telecommunications Research Institute)
저널정보
한국음향학회 한국음향학회 학술발표대회 한국음향학회 1994년도 FIFTH WESTERN PACIFIC REGIONAL ACOUSTICS CONFERENCE SEOUL KOREA
발행연도
1994.1
수록면
1,033 - 1,038 (6page)

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This paper describes recognition results using the modified Learning Vector Quantization (MLVQ2) method which we proposed previously. At first, we investigated the property of duration of 29 Korean consonants and found that the variances of th duration were extremely big comparing to other languages. We carried out preliminary recognition experiments for three stop consonants P, T and K. From the recognition results, we defined the optimum conditions for the learning. Then we applied the MLVQ2 method to the recognition of Korean consonants. The training was carried out using the phoneme samples in the 611 word vocabulary uttered by 2 male speakers, where each of the speakers uttered two repetitions. The recognition experiment was carried out for the phoneme samples in two repetitions of the 611 word vocabulary uttered by another male speaker. The recognition scores for the twelve plosives were 68.2% for the test samples. The recofnition scores for the 29 Korean consonants were 64.8% for the test samples.

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