Vowel inherent spectral properties characterized in Korean and American English talkers’ English vowel signals: A production-based pattern recognition modeling study
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Hillenbrand et al. (1995) showed in a pattern recognition modeling study of American English listeners’ vowel perception that American English vowel signals are characterized by dynamic spectral properties, and that American English listeners’ vowel perception can be modeled best with American English vowel inherent dynamic spectral properties. The present study, on the other hand, investigated the production side of the vowel inherent spectral properties of American English talkers’ and Korean talkers’ English vowel signals, by fitting four different production-based pattern recognition classification models (K-Nearest Neighbors, Random Forests, Support Vector Machine and Logistic Regression) directly to American English and Korean talkers’ English vowel signals. The results showed that American English talkers’ vowel signals were best characterized by dynamic spectral properties but Korean talkers’ English vowel signals by static spectral properties.
Abstract
Hillenbrand et al. (1995) showed in a pattern recognition modeling study of American English listeners’ vowel perception that American English vowel signals are characterized by dynamic spectral properties, and that American English listeners’ vowel perception can be modeled best with American English vowel inherent dynamic spectral properties. The present study, on the other hand, investigated the production side of the vowel inherent spectral properties of American English talkers’ and Korean talkers’ English vowel signals, by fitting four different production-based pattern recognition classification models (K-Nearest Neighbors, Random Forests, Support Vector Machine and Logistic Regression) directly to American English and Korean talkers’ English vowel signals. The results showed that American English talkers’ vowel signals were best characterized by dynamic spectral properties but Korean talkers’ English vowel signals by static spectral properties.
참고문헌 (21)
- ASSMANN, PETER F., "Vowel Inherent Spectral Change, Modern Acoustics and Signal Processing", pp.1~6 (2013), Springer
- DEMSAR, JANEZ, "Orange: Data Mining Toolbox in Python", Journal of Machine Learning Research, 14, pp.2349~2353 (2013)
- 초미희, "Perception and production of English vowels by Korean learners: A Case study", 음성음운형태론연구, 19(1), pp.155~177 (2013), 한국음운론학회[DOI]
- Chung, Hyunju, "Vowel Formant Trajectory Patterns for Shared Vowels of American English and Korean", 말소리와 음성과학, 2(4), pp.67~74 (2010), 한국음성학회
- FLEGE, JAMES E., "Effects of experience on non-native speakers’ production and perception of English vowels", Journal of Phonetics, 25, pp.437~470 (1997)
- HILLENBRAND, JAMES M., "Vowel Inherent Spectral Change, Modern Acoustics and Signal Processing", pp.9~30 (2013), Springer
- HILLENBRAND, JAMES M., "Open source software for experiment design and control", Journal of Speech, Language, and Hearing Research, 48, pp.45~60 (2005)
- HILLENBRAND, JAMES M., "Acoustic characteristics of American English vowels", Journal of the Acoustical Society of America, 97, pp.3099~3111 (1995)
- HILLENBRAND, JAMES M., "Identification of resynthesized", hVd, Journal of the Acoustical Society of America, pp.1999, 105[DOI]
- 홍순현, "The relative perceptual easiness between perceptually assimilated vowels for university-level Korean learners of American English and measurement bias in an identification test", 음성음운형태론연구, 18(3), pp.491~511 (2012), 한국음운론학회[DOI]
- 홍순현, "Korean talkers’ cue weighting perception strategies in perceiving English", ɑ, ɔ, pp.and, ʌ[DOI]
- 홍순현, "Training Effects after Training Korean Listeners for the Contrast of English", ɑ, ɔ, ʌ, 언어와언어학, pp.2014, (65)[DOI]
- 홍순현, "Pattern Recognition Modeling of Korean listeners’ perception of American English Monophthongs", 언어와언어학, (68), pp.209~240 (2015), 언어연구소
- 홍순현, "Pattern recognition modeling of American English vowel identification by four different identification-proficiency levels of Korean listeners", 음성음운형태론연구, 22(1), pp.147~175 (2016), 한국음운론학회[DOI]
- LADEFOGED, PETER, "A Course in Phonetics" (2011), Cengage Learning
- MORRISON, GEOFFREY S., "Vowel Inherent Spectral Change, Modern Acoustics and Signal Processing", pp.31~47 (2013), Springer
- NEAREY, TERRANCE M., "Static, dynamic, and relational properties in vowel perception", Journal of the Acoustical Society of America, 85, pp.2088~2113 (1989)
- NEAREY, TERRANCE M., "Modeling the role of vowel inherent spectral change in vowel identification", Journal of the Acoustical Society of America, 80, pp.1297~1308 (1986)
- 오은진, "Dynamic spectral patterns of American English front monophthong vowels produced by Korean-English bilingual speakers and Korean late learners of English", 언어연구, 30(2), pp.293~312 (2013), 언어정보연구소[DOI]
- PETERSON, GORDON E., "Control methods used in a study of the vowels", Journal of the Acoustical Society of America, 24, pp.175~184 (1952)
- ZAHORIAN, STEPHEN A., "Spectral-shape features versus formants as acoustic correlates for vowels", Journal of the Acoustical Society of America, 94, pp.1966~1982 (1993)