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A Survey of Human Emotion Recognition Using Speech Signals: Current Trends and Future Perspectives

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Micro-Electronics and Telecommunication Engineering

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 617))

Abstract

In this research work, a detailed review has been conducted to provide the current research scenario of speech emotion recognition (SER). The key purpose is really to look into what is being done in this research as well as the areas where research is lacking. The investigation reveals that “speech emotion recognition” work is a significant field of research, with a large number of research papers published each year in articles and journals. To optimize the detection results of SER systems, the majority of research consists of three main components of SER: (i) datasets, (ii) speech attributes, and (iii) classifiers. After conducting an interrelation study of the essential components, the efficiency of the SER system is determined in terms of identification rate. We researchers established that even a mixture of datasets, speech signal attributes, as well as classification methods affects the recognition performance of the SER system. Based on our review, we also suggested SER features that could be considered in future work.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Sri Venkateswara College of Engineering, Sriperumbudur, India

    Radhika Subramanian & Prasanth Aruchamy

Authors
  1. Radhika Subramanian
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  2. Prasanth Aruchamy
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Corresponding author

Correspondence to Radhika Subramanian .

Editor information

Editors and Affiliations

  1. SRM Institute of Science and Technology, Ghaziabad, India

    Devendra Kumar Sharma

  2. National Taipei University of Business, Hualien, Taiwan

    Sheng-Lung Peng

  3. SRM Institute of Science and Technology, Ghaziabad, Uttar Pradesh, India

    Rohit Sharma

  4. Department of Embedded Systems Engineering, College of Information Technology, Incheon National University, Incheon, Korea (Republic of)

    Gwanggil Jeon

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Subramanian, R., Aruchamy, P. (2023). A Survey of Human Emotion Recognition Using Speech Signals: Current Trends and Future Perspectives. In: Sharma, D.K., Peng, SL., Sharma, R., Jeon, G. (eds) Micro-Electronics and Telecommunication Engineering . Lecture Notes in Networks and Systems, vol 617. Springer, Singapore. https://doi.org/10.1007/978-981-19-9512-5_46

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  • DOI: https://doi.org/10.1007/978-981-19-9512-5_46

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-9511-8

  • Online ISBN: 978-981-19-9512-5

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