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Emotion Classification Based on Speaking Rate

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Contemporary Computing (IC3 2010)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 94))

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Abstract

In this paper, vocal tract characteristics related to speaking rate are explored to categorise the emotions. The emotions considered are anger, disgust, fear, happy, neutral, sadness, sarcastic and surprise. These emotions are grouped into 3 broad categories namely normal, fast and slow based on speaking rate. Mel frequency cepstral coefficients (MFCC’s) are used as features and Gaussian Mixture Models are used for developing the emotion classification models. The basic hypothesis is that the sequence of vocal tract shapes in producing the speech for the given utterance is unique with respect to the speaking rate. The overall classification performance of emotions using speaking rate is observed to be 91% in case of single female utterances.

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Author information

Authors and Affiliations

  1. School of Information Technology, Indian Institute of Technology Kharagpur, Kharagpur, 721302, West Bengal, India

    Shashidhar G. Koolagudi, Sudhin Ray & K. Sreenivasa Rao

Authors
  1. Shashidhar G. Koolagudi
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  2. Sudhin Ray
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  3. K. Sreenivasa Rao
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Editor information

Editors and Affiliations

  1. Dept. of Computer Sciences, University of Florida, 32611, Gainesville, FL, USA

    Sanjay Ranka

  2. University of Florida, Gainesville, Fl, USA

    Arunava Banerjee

  3. Department of Computer Science and Engineering, Indian Institute of Technology, 110016, New Delhi, INDIA

    Kanad Kishore Biswas

  4. Computer Science, College of Engineering and Science, Louisiana Tech University, LA 71272, Ruston, USA

    Sumeet Dua

  5. University of Florida, Gainesville, FL, USA

    Prabhat Mishra

  6. Department of Computer Science & Engineering, Indian Institute of Technology, 208016, Kanpur, India

    Rajat Moona

  7. National Tsing Hua University, Hsin-Chu, Taiwan, R.O.C.

    Sheung-Hung Poon

  8. Department of Computer Science, The University of Hong Kong, Pokfulam Road, Hong Kong

    Cho-Li Wang

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© 2010 Springer-Verlag Berlin Heidelberg

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Koolagudi, S.G., Ray, S., Sreenivasa Rao, K. (2010). Emotion Classification Based on Speaking Rate. In: Ranka, S., et al. Contemporary Computing. IC3 2010. Communications in Computer and Information Science, vol 94. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14834-7_30

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  • DOI: https://doi.org/10.1007/978-3-642-14834-7_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14833-0

  • Online ISBN: 978-3-642-14834-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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