코퍼스 방식 음성합성에서의 개선된 운율구 경계 예측

AP, IP Prediction For Corpus-based Korean Text-To-Speech

One of the most important factor in the performance of Korean text-to-speech system is the prediction of accentual and intonational phrase boundary. The previous method of prediction shows only the 75-85% which is not proper in the practical and commercial system. Therefore, more accurate prediction must be needed in the practical system. In this study, we propose the simple and more accurate method of the prediction of AP, IP.