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The Implementation of the Emotion Recognition from Speech and Facial Expression System

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Book cover Advances in Natural Computation (ICNC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3611))

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Abstract

In this paper, we introduce a system that recognize emotion by speech and show the facial expression by using 2-dimensional emotion space. 4 emotional states are classified by the work with ANN. The derived features of the signal, pitch, and loudness are quantitatively contributed to the classification of emotions. Firstly we analyze the acoustic elements for using as emotional features and the elements are evaluated by ANN classifier. Secondly, we implement an avatar (simply drawn face) and the facial expressions are changed naturally by using the dynamic emotion space model.

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References

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Author information

Authors and Affiliations

  1. School of Electrical and Electronic Engineering, Chung-Ang University, 221, Heukseok-Dong, Dongjak-Gu, Seoul, 156-756, Korea

    Chang-Hyun Park, Kwang-Sub Byun & Kwee-Bo Sim

Authors
  1. Chang-Hyun Park
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  2. Kwang-Sub Byun
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  3. Kwee-Bo Sim
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Editor information

Editors and Affiliations

  1. School of Electrical and Electronic Engineering, Nanyang Technological University, Block S1, Nanyang Avenue, 639798, Singapore

    Lipo Wang

  2. School of Software, Sun Yat-Sen University, 510275, Guangzhou, China

    Ke Chen

  3. School of Computer Engineering, Nanyang Technological University, BLK N4, 2b-39, Nanyang Avenue, 639798, Singapore

    Yew Soon Ong

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© 2005 Springer-Verlag Berlin Heidelberg

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Park, CH., Byun, KS., Sim, KB. (2005). The Implementation of the Emotion Recognition from Speech and Facial Expression System. In: Wang, L., Chen, K., Ong, Y.S. (eds) Advances in Natural Computation. ICNC 2005. Lecture Notes in Computer Science, vol 3611. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539117_14

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  • DOI: https://doi.org/10.1007/11539117_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28325-6

  • Online ISBN: 978-3-540-31858-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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