Speech Signal-Based Modelling of Basic Emotions to Analyse Compound Emotion: Anxiety

Rathi Adarshi Rammohan, Jeevan Medikonda, Dan Issac Pothiyil

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

True emotions are rapid and short-lived. In realtime, two or more emotions can exist simultaneously at a given instant. The emotions can be expressed sequentially or merge to form a new emotion altogether. Combination of two or more basic emotions is known as compound emotions. Anxiety, an emotion triggered as a response to a potential threat, can be defined as a compound emotion comprising anger, fear and sadness predominantly. Speech signal-based emotion recognition system is developed to identify the basic emotions in anxiety. Autoencoders are used to learn the features of the voice samples and neural network classifies the basic emotions and estimates the likelihood of those in anxiety.

Original languageEnglish
Title of host publication2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages218-223
Number of pages6
ISBN (Electronic)9781728198859
DOIs
Publication statusPublished - 30-10-2020
Event2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2020 - Udupi, India
Duration: 30-10-202031-10-2020

Publication series

Name2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2020 - Proceedings

Conference

Conference2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2020
CountryIndia
CityUdupi
Period30-10-2031-10-20

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Artificial Intelligence
  • Computer Networks and Communications

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