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Noise Robust Emotion Recognition Feature : Frequency Range of Meaningful Signal  

Kim Eun-Ho (KAIST 기계공학과)
Hyun Kyung-Hak (KAIST 기계공학과)
Kwak Yoon-Keun (KAIST 대학교 기계공학과)
Publication Information
Journal of the Korean Society for Precision Engineering / v.23, no.5, 2006 , pp. 68-76 More about this Journal
Abstract
The ability to recognize human emotion is one of the hallmarks of human-robot interaction. Hence this paper describes the realization of emotion recognition. For emotion recognition from voice, we propose a new feature called frequency range of meaningful signal. With this feature, we reached average recognition rate of 76% in speaker-dependent. From the experimental results, we confirm the usefulness of the proposed feature. We also define the noise environment and conduct the noise-environment test. In contrast to other features, the proposed feature is robust in a noise-environment.
Keywords
Emotion recognition; Voice; Noise-environment; Noise robust feature; HRI;
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1 Kang, B. S., 'Text Independent Emotion Recognition Using Speech Signals,' Yonsei Univ. pp. 35-40,2000
2 Kitter, J., 'A Method for Determining Class Subspace,' Information Processing Letters, Vol. 6, No. 3, pp. 77-79, 1977   DOI   ScienceOn
3 Markel, J. D., 'The SIFT Algorithm for Fundamental Frequency Estimation,' IEEE Trans., Vol. AU-20, No. 5, pp. 367-377, 1972   DOI
4 Petrushin, V. A., 'Emotion in Speech: Recognition and Application to Call Centers,' Proceeding of the 1999 Conference on Artificial Neural Networks in Engineering, Vol. 9, pp. 1085-1092, 1999
5 Austermann, A., Esau, N., Kleinjohann, L. and Kleinjohann, B., 'Fuzzy Emotion Recognition in Natural Speech Dialogue,' Robot and Human Interactive Communication IEEE 14th workshop, pp. 317-322, 2005   DOI
6 Borden, C. J., Harris, K. S. and Raphael, L. J., 'Speech Science Primer,' 3rd ed., Williams & Wilkins Press, p. 42, 2000
7 McGilloway, S., Cowie, R., Douglas-Cowie, E., Gielen, S., Westerdijk, M. and Stroeve, S., 'Approaching Automatic Recogition of Emotion from Voice: A Rough Benchmark,' in ISCA Workshop on Speech and Emotion, Belfast, pp. 207-212,2000
8 Scherer, K., 'Vocal Communication of Emotion: A Review of Research Paradigms,' in Speech Communication, Vol. 40, pp. 227-256, 2003   DOI
9 Kostov, V. and Fukuda, S., 'Emotion in User Interface, Voice Interaction System,' System Man and Cybernetics, IEEE Conf., Vol. 2, pp. 798-803, 2000   DOI
10 Dellaert, F., 'Recognition Emotion In Speech,' ICSLP Proc. 4th International Conf, Vol. 3, pp. 1970-1973, 1996
11 Lin, X., Chen, Y, Lin, S. and Lim, C., 'Recognition of Emotional State from Spoken Sentences,' IEEE Multimedia Signal Processing, pp. 469-473, 1999   DOI
12 Srinivasan, S. and Tamkun, J. W., 'Characterization of Kismet, a Trithorax-group Protein,' Biochemistry and Cell Biology, Vol. 81, No.3, pp. 253-560, 2003   DOI   ScienceOn
13 Plutchik, R., 'Emotions and Life: Perspectives from Psychology, Biology and Evolution,' American Psychological Association Press, 2003
14 Takenaka, T., 'Honda Debuts New Humanoid Robt ASIMO,' The Industrial Robot, Vol. 28, No.2, pp. 22,2001
15 Fujita, M., 'On Activating Human Communications with Pet-type Robot AIBa,' Proceeding of the IEEE, Vol. 92, No. 11, pp. 1804-1813,2004   DOI   ScienceOn