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
한국언어과학회 언어과학 언어과학 제26권 제1호
발행연도
2019.1
수록면
291 - 310 (20page)

이용수

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

초록· 키워드

오류제보하기
The purpose of the present study is to provide normative data for acoustic measures of normal voices in Korean women aged between 20 and 59 years, exploring relations among voice parameters and examining changes in voice qualities with aging. Four acoustic measures—fundamental frequency(F0), jitter, shimmer, and noise-to-harmonics ratio(NHR) were obtained from a sustained vowel /a/. A total of 238 voices from 250 participants with no apparent voice disorders were acoustically analyzed by Praat. The results showed that the average values of F0, jitter, shimmer, and NHR were 218Hz, 0.275%, 3.37%, and 0.012, respectively. A significant correlation with the age factor was found only for F0(r = -0.21, p = .006) but not for jitter, shimmer, or NHR. Although aging effect was found only for F0, intraspeaker variability becomes larger in older females than younger females for all acoustic measures. Further correlation analyses indicated that F0 is negatively correlated with jitter, shimmer, and NHR, while jitter, shimmer, and NHR are positively correlated with one another. In other words, females with higher F0 values are more likely to have lower values in jitter, shimmer, and NHR; however, females with higher jitter values are more likely to have higher values in shimmer and NHR. Since previous studies on voice parameters of middle-aged Korean females using Praat have not been conducted yet, providing normative data has its own significance by itself. Also, this study may contribute to a better understanding of acoustic traits of normal voices and may encourage clinicians to conduct acoustic analyses using Praat as routine assessment for screening pathological voices

목차

등록된 정보가 없습니다.

참고문헌 (61)

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