TY - GEN
T1 - Speech Signal-Based Modelling of Basic Emotions to Analyse Compound Emotion
T2 - 2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2020
AU - Rammohan, Rathi Adarshi
AU - Medikonda, Jeevan
AU - Pothiyil, Dan Issac
N1 - Publisher Copyright:
© 2020 IEEE.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2020/10/30
Y1 - 2020/10/30
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85099678493&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85099678493&partnerID=8YFLogxK
U2 - 10.1109/DISCOVER50404.2020.9278094
DO - 10.1109/DISCOVER50404.2020.9278094
M3 - Conference contribution
AN - SCOPUS:85099678493
T3 - 2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2020 - Proceedings
SP - 218
EP - 223
BT - 2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2020 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 30 October 2020 through 31 October 2020
ER -