Att-Net: Enhanced emotion recognition system using lightweight self-attention module
S Kwon - Applied Soft Computing, 2021 - Elsevier
Speech emotion recognition (SER) is an active research field of digital signal processing
and plays a crucial role in numerous applications of Human–computer interaction (HCI) …
and plays a crucial role in numerous applications of Human–computer interaction (HCI) …
Speech emotion recognition using clustering based GA-optimized feature set
Speech Emotion Recognition (SER) is a hot topic in academia and industry. Feature
engineering plays a pivotal role in building an efficient SER. Although researchers have …
engineering plays a pivotal role in building an efficient SER. Although researchers have …
CASA-based speaker identification using cascaded GMM-CNN classifier in noisy and emotional talking conditions
This work aims at intensifying text-independent speaker identification performance in real
application situations such as noisy and emotional talking conditions. This is achieved by …
application situations such as noisy and emotional talking conditions. This is achieved by …
Exploiting the potentialities of features for speech emotion recognition
In recent years, studies on speech signals have increasingly paid attention to emotional
information. The most challenging aspect in speech emotion recognition (SER) is choosing …
information. The most challenging aspect in speech emotion recognition (SER) is choosing …
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 …
An enhanced emotion recognition algorithm using pitch correlogram, deep sparse matrix representation and random forest classifier
This work presents an approach for text-independent and speaker-independent emotion
recognition from speech in real application situations such as noisy and stressful talking …
recognition from speech in real application situations such as noisy and stressful talking …
Speech stress recognition using semi-eager learning
VV Yerigeri, LK Ragha - Cognitive Systems Research, 2021 - Elsevier
Homo-sapiens suffer from psychogenic pain due to current day lifestyle. According to
psychologists, s tress is the most destructive form of psychalgia and it is a vicious companion …
psychologists, s tress is the most destructive form of psychalgia and it is a vicious companion …
Multi-Task Feature Selection for Speech Emotion Recognition: Common Speaker-Independent Features Among Emotions
E Kalhor, B Bakhtiari - Journal of AI and Data Mining, 2021 - jad.shahroodut.ac.ir
Feature selection is the one of the most important steps in designing speech emotion
recognition systems. Because there is uncertainty as to which speech feature is related to …
recognition systems. Because there is uncertainty as to which speech feature is related to …
Emotion and stress recognition through speech using machine learning models
D Manasa, C Kiran Mai - … of International Conference on Advances in …, 2021 - Springer
Emotion is a state, related with our sensory system brought out by the neurophysiological
changes related with our thoughts like sad, happy, scared, excited and angry. These can be …
changes related with our thoughts like sad, happy, scared, excited and angry. These can be …
[引用][C] Development of Novel Speech Emotion Recognition Techniques using Machine Learning Approaches
SR Bandela - 2021 - shodhganga.inflibnet.ac.in
Shodhganga@INFLIBNET: Development of Novel Speech Emotion Recognition Techniques
using Machine Learning Approaches Skip navigation DSpace logo Home Browse …
using Machine Learning Approaches Skip navigation DSpace logo Home Browse …