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Proceedings of the International Conference on Data Engineering and Communication Technology pp 431–443Cite as

Toward Improved Performance of Emotion Detection: Multimodal Approach

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 469))

Abstract

Emotion detection currently is found to be an important and interesting part of speech analysis. The analysis can be done by selection of an effective parameter or by combination of a number of parameters to gain higher accuracy level. Definitely selection of a number of parameters together will provide a reliable solution for getting higher level of accuracy than that of for the single parameter. Energy, MFCCs, pitch values, timbre, and vocal tract frequencies are found to be effective parameters with which detection accuracy can be improved. It is observed that results with the language are proportional with results with other languages indicating that language will be an independent parameter for emotion detection. Similarly, by addition of an effective classifier like neural network can further yield the recognition accuracy nearly to 100 %. The work attempts to interpret the fact that combining the results of each parameter has improved detection accuracy.

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Author information

Authors and Affiliations

  1. Department of Electronics and Telecommunications Engineering, Dr. D. Y. Patil Institute of Engineering and Technology, Pune, Maharashtra, India

    R. V. Darekar

  2. Department of Electronics and Telecommunications Engineering, Pune Institute of Computer Technology, Pune, Maharashtra, India

    A. P. Dhande

Authors
  1. R. V. Darekar
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  2. A. P. Dhande
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Corresponding author

Correspondence to R. V. Darekar .

Editor information

Editors and Affiliations

  1. Department of Computer Science & Engineering, ANITS, Visakhapatnam, Andhra Pradesh, India

    Suresh Chandra Satapathy

  2. Dept. of ECE, Shri Ramswaroop Mem. Group of Prof. Clg, Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  3. Sabar Institute of Technology, Tajpur, Sabarkantha, Gujarat, India

    Amit Joshi

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© 2017 Springer Science+Business Media Singapore

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Darekar, R.V., Dhande, A.P. (2017). Toward Improved Performance of Emotion Detection: Multimodal Approach. In: Satapathy, S., Bhateja, V., Joshi, A. (eds) Proceedings of the International Conference on Data Engineering and Communication Technology. Advances in Intelligent Systems and Computing, vol 469. Springer, Singapore. https://doi.org/10.1007/978-981-10-1678-3_42

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  • DOI: https://doi.org/10.1007/978-981-10-1678-3_42

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-1677-6

  • Online ISBN: 978-981-10-1678-3

  • eBook Packages: EngineeringEngineering (R0)

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