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A Study on Comparison of Pronunciation Accuracy of Soprano Singers

첫 페이지 보기
  • 발행기관
    국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
  • 간행물
    The International Journal of Advanced Smart Convergence KCI 등재후보 바로가기
  • 통권
    Volume 6 Number 2 (2017.06)바로가기
  • 페이지
    pp.59-64
  • 저자
    Uk-Jin Song, Hyungwoo Park, Myung-Jin Bae
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A304610

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원문정보

초록

영어
There are three sorts of voices of female vocalists: soprano, mezzo- soprano, and contralto according to the transliteration. Among them, the soprano has the highest vocal range. Since the voice is generated through the human vocal tract based on the voice generation model, it is greatly influenced by the vocal tract. The structure of vocal organs differs from person to person, and the formants characteristic of vocalization differ accordingly. The formant characteristic refers to a characteristic in which a specific frequency band appears distinctly due to resonance occurring in each vocal tract in the vocal process. Formant characteristics include personality that occurs in the throat, jaw, lips, and teeth, as well as phonological properties of phonemes. The first formant is the throat, the second formant is the jaw, the third formant and the fourth formant are caused by the resonance phenomenon in the lips and the teeth. Among them, pronunciation is influenced not only by phonological information but also by jaws, lips and teeth. When the mouth is small or the jaw is stiff when pronouncing, pronunciation becomes unclear. Therefore, the higher the accuracy of the pronunciation characteristics, the more clearly the formant characteristics appear in the grammar spectrum. However, many soprano singers can not open their mouths because their jaws, lips, teeth, and facial muscles are rigid to maintain high tones when singing, which makes the pronunciation unclear and thus the formant characteristics become unclear. In this paper, in order to confirm the accuracy of the pronunciation characteristics of soprano singers, the experimental group was selected as the soprano singers A, B, C, D, E of Korea and analyzed the grammar spectrum and conducted the MOS test for pronunciation recognition. As a result, soprano singer B showed a clear recognition from F1 to F5 and MOS test result showed the highest recognition rate with 4.6 points. Soprano singers A, C, and D appear from F1 to F3, but it was difficult to find formants above 2kHz. Finally, the soprano singer E had difficulty in finding the formant as a whole, and MOS test showed the lowest recognition rate at 2.1 points. Therefore, we confirmed that the soprano singer B, which exhibits the most distinct formant characteristics in the grammar spectrum, has the best pronunciation accuracy.

목차

Abstract
 1. Introduction
 2. Sound engineering basic theory
  2.1 Voice generation model
  2.2 Formant
 3. Experiment and Analysis
 4. Conclusions
 References

키워드

Use the word “Keywords” as the title in 9-point Times New Roman boldface initially capitalized justified and indented for 2 characters. 4-6 keywords for a subject index should be included in this section. Keywords must be 9-point Times New Roman multiple-spacing at 1.1. Leave 11-point one single space after keywords then begin Introduction.

저자

  • Uk-Jin Song [ Dept of Information and Telecommunication Engineering, Soongsil University, Seoul, Korea ]
  • Hyungwoo Park [ Dept of Information and Telecommunication Engineering, Soongsil University, Seoul, Korea ] Corresponding author
  • Myung-Jin Bae [ Dept of Information and Telecommunication Engineering, Soongsil University, Seoul, Korea ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    국제인공지능학회(구 한국인터넷방송통신학회) [The International Association for Artificial Intelligence]
  • 설립연도
    2000
  • 분야
    공학>전자/정보통신공학
  • 소개
    인터넷방송, 인터넷 TV , 방송 통신 네트워크 및 관련 분야에 대한 국내는 물론 국제적인 학술, 기술의 진흥발전에 공헌하고 지식 정보화 사회에 기여하고자 한다.

간행물

  • 간행물명
    The International Journal of Advanced Smart Convergence
  • 간기
    계간
  • pISSN
    2288-2847
  • eISSN
    2288-2855
  • 수록기간
    2012~2025
  • 십진분류
    KDC 326 DDC 380

이 권호 내 다른 논문 / The International Journal of Advanced Smart Convergence Volume 6 Number 2

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