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http://dx.doi.org/10.13064/KSSS.2015.7.1.011

Correlation between Physical Fatigue and Speech Signals  

Kim, Taehun (대전대학교)
Kwon, Chulhong (대전대학교)
Publication Information
Phonetics and Speech Sciences / v.7, no.1, 2015 , pp. 11-17 More about this Journal
Abstract
This paper deals with the correlation between physical fatigue and speech signals. A treadmill task to increase fatigue and a set of subjective questionnaire for rating tiredness were designed. The results from the questionnaire and the collected bio-signals showed that the designed task imposes physical fatigue. The t-test for two-related-samples between the speech signals and fatigue showed that the parameters statistically significant to fatigue are fundamental frequency, first and second formant frequencies, long term average spectral slope, smoothed pitch perturbation quotient, relative average perturbation, pitch perturbation quotient, cepstral peak prominence, and harmonics to noise ratio. According to the experimental results, it is shown that mouth is opened small and voice is changed to be breathy as the physical fatigue accumulates.
Keywords
physical fatigue; treadmill task; speech signals; correlation;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 Choi, E. S., Song, M. S. (2003). Concept analysis : Fatigue. Journal of Korean Academy of Women's Health Nursing, Vol. 9, No. 1, 61-69. (최의순, 송민선 (2003). 피로의 개념 분석. 여성건강간호학회지, 9권 1호, 61-69.)
2 Kim, J. I., Kwon, C. H. (2014). Measuring correlation between mental fatigues and speech features, Vol. 6, No. 2, 3-8. (김정인, 권철홍 (2014). 정신피로와 음성특징과의 상관관계 측정. 한국음성학회, 말소리와 음성과학, 6권 2호, 3-8.)   DOI
3 Kim, S. W., Park, S. J. (2002). An assessment method of fatigue in a long-term driving. Proc. Spring Conf. Korea Industrial & Systems Eng, 785-791. (김선웅, 박세진 (2002). 장시간 주행에 따른 피로도 평가방법에 관한 연구. 대한산업공학회/한국경영과학회 2002 춘계공동학술대회, 785-791.)
4 Kim, S. W., Park, S. J., Lee, Y. S. (2003). Development of evaluation method of driver's fatigue by physiological signal. Proc. Spring Conf. Korean Society of Automotive Engineers, 1208-1212. (김선웅, 박세진, 이영신 (2003). 생리신호를 이용한 운전자 피로감 평가방법 개발. 한국자동차공학회 2003 춘계학술대회논문집, 1208-1212.)
5 Yun, Y. H., Ko, H. W., Kim, D. Y., Lee, C. M. (1999). Assesment of mental fatigue during monotonous task. Proc. Autumn Conf. the Korean Society for Emotion & Sensibility, 222-226. (윤용현, 고한우, 김동윤, 이창미 (1999). 단조작업에 의한 정신피로의 평가 - 생리신호를 중심으로, 감성공학 추계학술대회논문집, 222-226.)
6 Ko, H. W., Yun, Y. H., Kim, D. Y., Lee, C. M. (2000). Measurement and assessment of mental fatigue using biosignals during monotonous task. Korean Journal of the Science of Emotion & Sensibility, Vol. 3, No. 1, 1-6. (고한우, 윤용현, 김동윤, 이창미 (2000). 생리신호를 사용한 단조 작업 수행시 정신피로도의 측정과 평가, 한국감성과학회지, 3권 1호, 1-6.)
7 Borg, G. (1982). Psychophysical bases of perceived exertion. Medicine and Science in Sports and Exercise, Vol. 14, No. 5, 377-81.
8 E2-KIT. (2015). KTMED Inc., http://www.ktmed.co.kr
9 Jeong, O. R. (1994). Speech overall evaluation. Proc. 2nd Conf. Korean Society of Spoken Language, 101-109. (정옥란 (1994). 음성총괄평가. 제2회 대한음성언어학회 학술대회 논문집, 101-109.)
10 Klatt, D. H., Klatt, L. C. (1990). Analysis, synthesis, and perception of voice quality variations among female and male speakers. J. of the Acoustical Society of America, Vol. 87, No. 2, 820-857.   DOI
11 Hwang, Y. S., Seong, C. J. (2008). Comparative study on the acoustic characteristics of the Korean vowel /a/ before and after LMS. Malsori, Vol. 67, 33-60. (황연신, 성철재 (2008). 후두미세수술 전후 /아/의 음향적 특성비교. 대한음성학회, 말소리 67호, 33-60.)
12 Hillenbrand, J., Houde, R. A. (1996). Acoustic correlates of breathy vocal quality: dysphonic voices and continuous speech. J. of Speech and Hearing Research, Vol. 39, 311-321.   DOI
13 Park, H. S. (2007). An acoustic study of phonation types in vowels following consonant clusters in Korean. Malsori, Vol. 64, 53-76. (박한상 (2007). 한국어 자음군의 후행모음에 나타난 발성유형의 음향음성학적 연구. 대한음성학회, 말소리 64호, 53-76.)
14 Praat. (2015). Phonetic Sciences, Univ. of Amsterdam, http://www.fon.hum.uva.nl/praat/.
15 VoiceSauce. (2015). Speech Processing and Auditory Perception Laboratory, UCLA, http://www.seas.ucla.edu/spapl/voicesauce/.
16 MDVP. (2015). KayPentax, http://www.kayelemetrics.com.
17 IBM SPSS Statistics. (2015). SPSS Korea, http://www.spss.co.kr.
18 Yang, B. G. (2008). Formant measurements of complex waves and vowels produced by students. Speech Sciences, Vol. 15, No. 3, 39-52. (양병곤 (2008). 복합음과 대학생이 발음한 모음 포먼트 측정. 한국음성과학회지, 15권 3호, 39-52.)