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Detection of Human Emotion from Speech—Tools and Techniques

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Speech and Language Processing for Human-Machine Communications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 664))

Abstract

In the area of human–computer interaction (HCI), speech emotion recognition is an important topic. Various important research works on emotional speech analysis have been carried out in recent years. Different researchers have been introduced many systems to identify the emotion from human speech. This paper will give an idea about different techniques and working procedure of speech emotion recognition system. Also it gives the brief idea about the emotional speech dataset. We have reconsidered some earlier implemented speech emotion recognition technologies which use various feature extraction method and classifier for emotion recognition. Different types of classifier performance are also discussed for speech emotion recognition.

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Author information

Authors and Affiliations

  1. Department of CSE & IT, School of Technology, Assam Don Bosco University, Guwahati, India

    Abhijit Mohanta & Uzzal Sharma

Authors
  1. Abhijit Mohanta
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  2. Uzzal Sharma
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Corresponding author

Correspondence to Abhijit Mohanta .

Editor information

Editors and Affiliations

  1. KIIT, Gurgaon, Haryana, India

    S. S. Agrawal

  2. Bhai Parmanand Institute of Business Studies, New Delhi, Delhi, India

    Amita Devi

  3. MCA Department, Bhrati Vidyapeeth’s Institute of Computer Applications and Management (BVICAM), New Delhi, Delhi, India

    Ritika Wason

  4. Maharaja Surajmal Institute of Technology, GGSIP University, New Delhi, Delhi, India

    Poonam Bansal

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Mohanta, A., Sharma, U. (2018). Detection of Human Emotion from Speech—Tools and Techniques. In: Agrawal, S., Devi, A., Wason, R., Bansal, P. (eds) Speech and Language Processing for Human-Machine Communications. Advances in Intelligent Systems and Computing, vol 664. Springer, Singapore. https://doi.org/10.1007/978-981-10-6626-9_20

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  • DOI: https://doi.org/10.1007/978-981-10-6626-9_20

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6625-2

  • Online ISBN: 978-981-10-6626-9

  • eBook Packages: EngineeringEngineering (R0)

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