SHERP

영어 강세 교정을 위한 주변 음 특징 차를 고려한 강조점 검출
Prominence Detection Using Feature Differences of Neighboring Syllables for English Speech Clinics

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Authors
심성건; 유기선; 성원용
Issue Date
2009-06
Publisher
한국음성학회 = Korean Society of Speech Sciences
Citation
Journal of the Korean society of speech sciences, Vol. 1, No. 2, pp. 15-22
말소리와 음성과학, Vol. 1, No. 2, pp. 15-22
Keywords
Prominence detectionSpeech clinic
Abstract
Prominence of speech, which is often called 'accent,' affects the fluency of speaking very much in American English. In this paper, we present an accurate prominence detection method that can be utilized for computer-aided language learning (CALL) system. We employed pitch movement, overall syllable energy, 300-2200 Hz band energy, syllable duration and spectral and temporal correlation as features to model the prominence of speech. After the features for vowel syllables of speech is extracted, prominent syllables are classified by SVM (Support Vector Machine). To further improve the accuracy, the differences in characteristics of neighboring syllables are added as additional features. We also applied a speech recognizer to extract more precise syllable boundaries. The performance of our prominence detector is measured based on Intonational Variation in English (IViE) speech corpus. We obtained 84.9% accuracy which is about 10% higher than previous research.
ISSN
2005-8063
Language
Korean
URI
http://www.speechsciences.or.kr/

http://hdl.handle.net/10371/6127
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College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Electrical and Computer Engineering (전기·정보공학부)Journal Papers (저널논문_전기·정보공학부)
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