A survey of speech emotion recognition in natural environment
While speech emotion recognition (SER) has been an active research field since the last
three decades, the techniques that deal with the natural environment have only emerged in …
three decades, the techniques that deal with the natural environment have only emerged in …
Video-based stress detection through deep learning
Stress has become an increasingly serious problem in the current society, threatening
mankind's well-beings. With the ubiquitous deployment of video cameras in surroundings …
mankind's well-beings. With the ubiquitous deployment of video cameras in surroundings …
[HTML][HTML] In-depth investigation of speech emotion recognition studies from past to present The importance of emotion recognition from speech signal for AI
In the super smart society (Society 5.0), new and rapid methods are needed for speech
recognition, emotion recognition, and speech emotion recognition areas to maximize human …
recognition, emotion recognition, and speech emotion recognition areas to maximize human …
A speech emotion recognition model based on multi-level local binary and local ternary patterns
Interpreting a speech signal is quite challenging because it consists of different frequencies
and features that vary according to emotions. Although different algorithms are being …
and features that vary according to emotions. Although different algorithms are being …
Speaker independent feature selection for speech emotion recognition: A multi-task approach
E Kalhor, B Bakhtiari - Multimedia Tools and Applications, 2021 - Springer
Nowadays, automatic speech emotion recognition has numerous applications. One of the
important steps of these systems is the feature selection step. Because it is not known which …
important steps of these systems is the feature selection step. Because it is not known which …
Wavelet multiresolution analysis based speech emotion recognition system using 1D CNN LSTM networks
Speech Emotion Recognition (SER) is the task of recognizing a speaker's emotional state
from speech. SER plays a significant role in Human-Computer Interaction and psychological …
from speech. SER plays a significant role in Human-Computer Interaction and psychological …
[PDF][PDF] Application of bispectrum diagonal slice feature analysis in tool wear states monitoring
B Yang, M Wang, T Zan, X Gao, P Gao - 2021 - scholar.archive.org
Tool wear is unavoidable during machining, which is one of the most common tool failure
modes. It is significant to evaluate the tool state quickly and effectively for timely tool change …
modes. It is significant to evaluate the tool state quickly and effectively for timely tool change …
Application of bispectrum diagonal slice feature analysis to monitoring CNC tool wear states
B Yang, M Wang, T Zan, X Gao, P Gao - The International Journal of …, 2022 - Springer
Tool wear is unavoidable during machining, which is one of the most common tool failure
modes. It is significant to evaluate the tool state quickly and effectively for timely tool change …
modes. It is significant to evaluate the tool state quickly and effectively for timely tool change …
[HTML][HTML] Multi-modal interactive fusion method for detecting teenagers' psychological stress
H Zhang, L Cao, L Feng, M Yang - Journal of Biomedical Informatics, 2020 - Elsevier
Psychological stress turns out to be increasingly severe among teenagers and has imposed
numerous physical and mental issues on them. The earlier the stress is detected, the better it …
numerous physical and mental issues on them. The earlier the stress is detected, the better it …
Deep time-delay Markov network for prediction and modeling the stress and emotions state transition
BH Prasetio, H Tamura, K Tanno - Scientific Reports, 2020 - nature.com
To recognize stress and emotion, most of the existing methods only observe and analyze
speech patterns from present-time features. However, an emotion (especially for stress) can …
speech patterns from present-time features. However, an emotion (especially for stress) can …