본문 바로가기
KERD
논문KCI 등재

Systematic centralized reduction at the offset of Korean monophthong signals in spontaneous speech

1

조회

0

다운로드

5

인용

0

참고문헌

키워드

주제분류언어학

초록

The present paper reports the observation that the signals of all Korean monophthong types in spontaneous speech are characterized by a unique spectral pattern over the temporal domain. Over the course of production, Korean monophthong signals showed quite stable F1/F2 frequencies from 20% to 50% of vowel duration, but drastically moved toward the center of the acoustic vowel space from 50% to 80% of vowel duration. This unique spectral pattern was shared by signals of all monophthong types produced by both males and females. It was also found that centralized vowel reduction at the offset was more frequent in shorter signals than longer ones. The unique spectral centralization locally at the offset in Korean signals did not pattern together with reports in the literature that across-the-board articulatory undershoot occurs in the entire temporal domain of vowel signals in English and French.

Abstract

The present paper reports the observation that the signals of all Korean monophthong types in spontaneous speech are characterized by a unique spectral pattern over the temporal domain. Over the course of production, Korean monophthong signals showed quite stable F1/F2 frequencies from 20% to 50% of vowel duration, but drastically moved toward the center of the acoustic vowel space from 50% to 80% of vowel duration. This unique spectral pattern was shared by signals of all monophthong types produced by both males and females. It was also found that centralized vowel reduction at the offset was more frequent in shorter signals than longer ones. The unique spectral centralization locally at the offset in Korean signals did not pattern together with reports in the literature that across-the-board articulatory undershoot occurs in the entire temporal domain of vowel signals in English and French.

참고문헌 (27)

  1. ASSMANN, PETER F., "Vowel identification: Orthographic, perceptual, and acoustic aspects", The Journal of the Acoustical Society of America, 71, pp.975~989 (1982)
  2. (2018)[URL]
  3. DEMSAR, JANEZ, "Orange: Data mining toolbox in python", Journal of Machine Learning Research, 14, pp.2349~2353 (2013)
  4. DICANIO, CHRISTIAN, "Vowel variability in elicited versus spontaneous speech: evidence from Mixtec", Journal of Phonetics, 48, pp.45~59 (2015)
  5. FOURAKIS, MARIOS, "Tempo, stress, and vowel reduction in American English", The Journal of the Acoustical Society of America, 90, pp.1816~ (1991)
  6. GENDROT, CEDRIC, "Impact of duration on F1", F2 formant values of oral vowels: An automatic analysis of large broadcast news corpora in French and German, 2005, ~
  7. GENDROT, CEDRIC, "Impact of duration and vowel inventory size on formant values of oral vowels: An automated formant analysis from eight languages", ICPhS XVI (2007)
  8. GUENTHER, FRANK H., "Speech sound acquisition, coarticulation, and rate effects in a neural network model of speech production", Psychological Review, 102, pp.594~621 (1995)
  9. HILLENBRAND, JAMES M., "Vowel Inherent Spectral Change", pp.9~30 (2013), Springer Verlag
  10. HILLENBRAND, JAMES M., "Effects of consonant environment on vowel formant patterns", The Journal of the Acoustical Society of America, 109, pp.748~763 (2001)
  11. HILLENBRAND, JAMES M., "Acoustic characteristics of American English vowels", The Journal of the Acoustical Society of America, 97, pp.3099~3111 (1995)
  12. HILLENBRAND, JAMES M., "Identification of resynthesized", hVd, The Journal of the Acoustical Society of America, pp.1999, 105[DOI]
  13. 홍순현, "Perceptual Influence of Non-Spectral Cues on Spectral Properties of Korean Vowel Signals in Seoul Corpus: A Neural Network Modeling Study", 현대문법연구, (102), pp.135~164 (2019), 현대문법학회[DOI]
  14. 홍순현, "The relative contributions of non-spectral cues to static and dynamic spectral model identification of Korean monophthong signals in Seoul Corpus", 음성음운형태론연구, 26(1), pp.159~184 (2020), 한국음운론학회[DOI]
  15. HONG, SOONHYUN, "Half static and half dynamic spectral characteristics of Korean vowels in Seoul Corpus", Proceedings of Spring Conference 2019 at Daegu Catholic University (2019), The Society of Modern Grammar
  16. KOOPMANS-VAN BEINUM, FLORINA J., "Vowel Contrast Reduction, an Acoustic and Perceptual Study of Dutch Vowels in Various Speech Conditions", PhD, pp.1980
  17. LINDBLOM, BJÖRN, "Spectrographic study of vowel reduction", The Journal of the Acoustical Society of America, 35, pp.1773~1781 (1963)
  18. LINDBLOM, BJÖRN, "The Production of Speech", pp.217~245 (1983), Springer-Verlag
  19. LINDBLOM, BJÖRN, "Speech Production and Speech Modeling", pp.413~415 (1990), Kluwer
  20. LINDBLOM, BJÖRN, "On the role of formant transitions in vowel recognition", The Journal of the Acoustical Society of America, 42, pp.830~843 (1967)
  21. MEUNIER, CHRISTINE, "Vowel reduction in conversational speech in French: The role of lexical factors", Journal of Phonetics, 39, pp.271~278 (2011)
  22. MOON, SEUNG-JAE, "Interaction between duration, context, and speaking style in English stressed vowels", The Journal of the Acoustical Society of America, 96, pp.40~55 (1994)
  23. NEAREY, TERRANCE, "Modeling the role of vowel inherent spectral change in vowel identification", The Journal of the Acoustical Society of America, 80, pp.1297~1308 (1986)
  24. VAN SON, ROB, "Formant movements of Dutch vowels in a text, read at normal and fast rate", The Journal of the Acoustical Society of America, 92, pp.121~127 (1992)
  25. 윤태진, "이층위 신경망 모형을 사용한 포먼트 궤적 기반 모음 유형 분류", 음성음운형태론연구, 25(1), pp.95~112 (2019), 한국음운론학회[DOI]
  26. YUN, WEONHEE, "The Korean corpus of spontaneous speech" (2015), Industry-Academic Cooperation Foundation, Keimyung University
  27. ZAHORIAN, STEPHEN A., "Spectral-shape features versus formants as acoustic correlates for vowels", The Journal of the Acoustical Society of America, 94, pp.1966~1982 (1993)

관련 논문AI추천

이 간행물의 다른 논문 (8건)