Browse > Article

An acoustic study of feeling information extracting method  

Lee, Yeon-Soo (단국대학교 정보아키텍쳐 연구실)
Park, Young-B. (단국대학교 정보아키텍쳐 연구실)
Publication Information
The Journal of the Institute of Internet, Broadcasting and Communication / v.10, no.1, 2010 , pp. 51-55 More about this Journal
Abstract
Tele-marketing service has been provided through voice media in a several places such as modern call centers. In modern call centers, they are trying to measure their service quality, and one of the measuring method is a extracting speaker's feeling information in their voice. In this study, it is proposed to analyze speaker's voice in order to extract their feeling information. For this purpose, a person's feeling is categorized by analyzing several types of signal parameters in the voice signal. A person's feeling can be categorized in four different states: joy, sorrow, excitement, and normality. In a normal condition, excited or angry state can be major factor of service quality. In this paper, it is proposed to select a conversation with problems by extracting the speaker's feeling information based on pitches and amplitudes of voice.
Keywords
Service quality; Voice pitch; Feeling information;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Cowie, R., Douglas-Cowie, E., Tsapatsoulis, N., Votsis, G., Kollias, S., Fellenz, and Taylor, J., "Emotion recognition in human-computer interactioins", IEEE Sig. Proc. Mag., vol.18(1), pp. 32-80, Jan 2001   DOI   ScienceOn
2 Davis, C., Kim, J., Grauwinkel, K. and Mixdorff, H., "Lombard speech: Auditory(A), Visual(V) and AV effects", Proceedings of Speech prosody, pp.361-365, Dresden, Germany, 2006.
3 G. Zhou, J. H. L. Hansen, and J. F. Kaiser, "Classification of Speech under Stress based on Features derived from the Nonlinear Teager Energy Operator," Proc. of ICASSP, pp. 549-552, 1998.
4 Lee, C. M., and Narayanan, S., "Towards detecting emotion in spoken dialogs," IEEE Trans. on Speech and Audio Processing, Vol. 13(2), pp.293-303, 2005   DOI
5 L. Rabiner and B. H. Juang, Fundamentals of Speech Recognition, Prentice Hall, 1993
6 Patil, V. and Rao. P., "Acoustic cues to manner of articulation of obstruents in Marathi", Proc. of frontiers of research on Speech & Music, Kolkata, India, February 2008.
7 S. Fukuda and V. Kostov, "Extracting Emotion from Voice," Proc. of IEEE, pp. IV-299-304, 1999.
8 S. Yildirim, M. Bulut, C. Lee, A. Kazemzadeh, C. Busso, Z. Deng, S. Lee, and S. Narayanan, "An acoustic study of emotions expressed in speech," Proc. of Internet Conf. on Spoken Lang. Processing. (ICSLP 04), Vol. 1, pp. 2193-2196, Jeju Island, Korea, 2004,
9 Cahn, J.E., "Generating Expressions in Synthesized Speech",Master's Thesis MIT, 1989.
10 양병곤, 프라트를 이용한 음성분석의 이론과 실제, 만수출판사, 2003