한국음향학회:학술대회논문집 (Proceedings of the Acoustical Society of Korea Conference)
- 한국음향학회 1992년도 학술논문발표회 논문집 제11권 1호
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- Pages.61-65
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- 1992
한국어 음소 인식을 위한 신경회로망에 관한 연구
A Study on Neural Networks for Korean Phoneme Recognition
초록
This paper presents a study on Neural Networks for Phoneme Recognition and performs phoneme recognition using TDNN(Time Delay Neural Network). Also, this paper proposes new training algorithm for speech recognition using neural nets that proper to large scale TDNN. Because phoneme recognition is indispensable for continuous speech recognition, this paper uses TDNN to get accurate recognition result of phoneme. And this paper proposes new training algorithm that can converge TDNN to optimal state regardless of the number of phoneme to be recognized. The result of recognition on three phoneme classes shows recognition rate of 9.1%. And this paper proves that proposed algorithm is a efficient method for high performance and reducing convergence time.
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