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Multi-algorithm Fusion for Speech Emotion Recognition

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Advances in Computing and Communications (ACC 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 192))

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Abstract

In this paper, we have proposed a speech emotion recognition system based on multi-algorithm fusion. Mel Frequency Cepstral Coefficients (MFCC) and Discrete Wavelet Transform (DWT), the two prominent algorithms for speech analysis, have been used to extract emotion information from speech signal. MFCC, a representation of the short-term power spectrum of a sound is a classical approach to analyze speech signal whilst the DWT, a multiresolution approach mainly approximate the frequency information along with time information. Feature level fusion of algorithms has been performed after extraction of features by acoustic analysis of speech emotion signal. The final emotion state was determined by classification using Support Vector Machine. Popular Berlin emotion database is used for evaluation of the proposed system. The results achieved are very promising as the proposed fusion algorithm performed well compared to individual algorithms.

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Author information

Authors and Affiliations

  1. Indian Institute of Information Technology, Allahabad, Allahabad, India, 211012

    Gyanendra K. Verma, U. S. Tiwary & Shaishav Agrawal

Authors
  1. Gyanendra K. Verma
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  2. U. S. Tiwary
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  3. Shaishav Agrawal
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Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs (MIR Labs), Auburn, 98071-2259, Washington, USA

    Ajith Abraham

  2. Departamento de Comunicaciones, Universidad Politcnica de Valencia, 46071, Valencia, Spain

    Jaime Lloret Mauri

  3. Avaya Labs Research, Basking Ridge, NJ, USA

    John F. Buford

  4. University of Massachusetts, 100 Morrissey Blvd., 02125-3393, Boston, MA, USA

    Junichi Suzuki

  5. Rajagiri School of Engineering and Technology, Rajagiri Valley, Kakkanad, 682 039, Kochi, India

    Sabu M. Thampi

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© 2011 Springer-Verlag Berlin Heidelberg

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Verma, G.K., Tiwary, U.S., Agrawal, S. (2011). Multi-algorithm Fusion for Speech Emotion Recognition. In: Abraham, A., Mauri, J.L., Buford, J.F., Suzuki, J., Thampi, S.M. (eds) Advances in Computing and Communications. ACC 2011. Communications in Computer and Information Science, vol 192. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22720-2_47

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  • DOI: https://doi.org/10.1007/978-3-642-22720-2_47

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22719-6

  • Online ISBN: 978-3-642-22720-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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