학술논문

A Survey on Various Speech Emotion Recognition Techniques
Document Type
Conference
Source
2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS) Artificial Intelligence and Smart Energy (ICAIS), 2022 Second International Conference on. :1099-1104 Feb, 2022
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Robotics and Control Systems
Deep learning
Knowledge engineering
Emotion recognition
Wiener filters
Target recognition
Neural networks
Speech recognition
Speech emotion recognition
CNN-Convolution Neural Network
SNN-Spiking neural network
PNN - Pattern Recognition Neural Network
DNN - Deep Neural Network
Language
Abstract
Speech emotion recognition is one of the important concepts of all the recognition methods used till now. To know more about the process behind it, prior knowledge of how it is handled is required. This paper describes different methods for speech emotion recognition. Though the current target (an efficient method for recognizing emotion in speech) has brought many challenges, there were several methods introduced for the recognition in various situations. In this paper, some of the previously proposed methods for different situations like concealed signals, whispered signals, as well as noisy signals, were discussed and suggested for the researchers. A brief knowledge on other techniques, which use Convolution Neural Network, Pattern Recognition Neural Network, Spiking Neural Network, and Deep Neural Network for their recognition are elucidated.