메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
저널정보
한말연구학회 한말연구 한말연구 제54호
발행연도
2019.1
수록면
207 - 232 (26page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
The purpose of this study is to suggest how to improve pronunciation of Korean TTS from the point of view of Korean language. In particular, this study focused on the tensification pronunciation of TTS. For this purpose, this study examined the tensification pronunciation of Korean TTS. The pronunciation examination was done in two steps. The first step was a basic examination. We examined whether Korean TTS applied the six tensification rules of the standard pronunciation regulation. The six tensification rules were examined in 11 subtypes. The second step was a deepening examination. The problems arising from the basic examination were examined more closely. The deepening examination extended the number of words to be examined. Examination of the pronunciation of the TTS revealed problems with the four types of the tensification. Based on the results, this study proposed the following to improve the pronunciation of the tensification. (1) The pronunciation information must be faithfully attached to the words related to the tensification. (2) In order to process the tensification that occurs when the stem and the ending combine, the pronunciation information related to the tensification must be attached to the stem and the ending. (3) When the dependent nouns are combined after the adnominal form '-(으) ㄹ' in predicate, the rules of tensification should be applied carefully. (4) Regardless of the spacing, when a chain of obstruent sounds occurs in consecutive nouns, the obstruent sound in the back should be pronounced as tensificated sound. In order for these studies to lead to substantial improvements in TTS, collaboration between engineering and linguistics is required.

목차

등록된 정보가 없습니다.

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0