Emotion clustering using the results of subjective opinion tests for emotion recognition in infants' cries

N. Satoh, Katsuya Yamauchi, S. Matsunaga, M. Yamashita, R. Nakagawa, K. Shinohara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes an emotion clustering procedure for emotion detection in infants' cries. Our clustering procedure is performed using the results of subjective opinion tests regarding the emotions expressed in infants' cries. Through the procedure, we obtain a tree data structure of emotion clusters that are generated by the progressive merging of emotions. Emotion merging is carried out on the condition that the objective function concerning the ambiguity of emotions that were detected in the opinion tests is minimized. Clustering experiments are performed on the results of opinion tests completed by infants' mothers and baby-rearing experts. The experimental results show that the proposed clustering, which considers the evaluation rank of each emotion, is superior to the clustering that is only concerned with the detection/ nondetection of each emotion. Based on the clustering results, we performed a preliminary recognition experiment on two emotion clusters. According to the recognition results, the proposed emotion cluster achieves a detection rate of 75%, which shows the effectiveness of the proposed clustering procedure. Index Terms: emotion recognition, infants' cry, clustering.

Original languageEnglish
Title of host publicationInternational Speech Communication Association - 8th Annual Conference of the International Speech Communication Association, Interspeech 2007
Pages993-996
Number of pages4
Volume2
Publication statusPublished - 2007
Externally publishedYes
Event8th Annual Conference of the International Speech Communication Association, Interspeech 2007 - Antwerp, Belgium
Duration: Aug 27 2007Aug 31 2007

Other

Other8th Annual Conference of the International Speech Communication Association, Interspeech 2007
CountryBelgium
CityAntwerp
Period8/27/078/31/07

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All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Software
  • Modelling and Simulation
  • Linguistics and Language
  • Communication

Cite this

Satoh, N., Yamauchi, K., Matsunaga, S., Yamashita, M., Nakagawa, R., & Shinohara, K. (2007). Emotion clustering using the results of subjective opinion tests for emotion recognition in infants' cries. In International Speech Communication Association - 8th Annual Conference of the International Speech Communication Association, Interspeech 2007 (Vol. 2, pp. 993-996)