Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers
Speech is the most natural way of expressing ourselves as humans. It is only natural then to
extend this communication medium to computer applications. We define speech emotion …
extend this communication medium to computer applications. We define speech emotion …
Speech emotion recognition: a comprehensive survey
MJ Al-Dujaili, A Ebrahimi-Moghadam - Wireless Personal Communications, 2023 - Springer
Speech emotion recognition could be considered a new topic in speech processing where
he plays that plays an essential role in human interaction. Emotions are a king of speech …
he plays that plays an essential role in human interaction. Emotions are a king of speech …
Speech emotion recognition using deep convolutional neural network and discriminant temporal pyramid matching
Speech emotion recognition is challenging because of the affective gap between the
subjective emotions and low-level features. Integrating multilevel feature learning and model …
subjective emotions and low-level features. Integrating multilevel feature learning and model …
LSTM-based emotion detection using physiological signals: IoT framework for healthcare and distance learning in COVID-19
Human emotions are strongly coupled with physical and mental health of any individual.
While emotions exbibit complex physiological and biological phenomenon, yet studies …
While emotions exbibit complex physiological and biological phenomenon, yet studies …
A novel feature selection method for speech emotion recognition
T Özseven - Applied Acoustics, 2019 - Elsevier
Speech emotion recognition involves analyzing vocal changes caused by emotions with
acoustic analysis and determining the features to be used for emotion recognition. The …
acoustic analysis and determining the features to be used for emotion recognition. The …
Multimodal approach of speech emotion recognition using multi-level multi-head fusion attention-based recurrent neural network
Speech emotion recognition is a challenging but important task in human computer
interaction (HCI). As technology and understanding of emotion are progressing, it is …
interaction (HCI). As technology and understanding of emotion are progressing, it is …
Emotion recognition using a hierarchical binary decision tree approach
Automated emotion state tracking is a crucial element in the computational study of human
communication behaviors. It is important to design robust and reliable emotion recognition …
communication behaviors. It is important to design robust and reliable emotion recognition …
Fuzzy cognitive maps for artificial emotions forecasting
JL Salmeron - Applied Soft Computing, 2012 - Elsevier
At the present, emotion is considered as a critical point of human behaviour, and thus it
should be embedded within the reasoning module when an intelligent system or a …
should be embedded within the reasoning module when an intelligent system or a …
A hybrid meta-heuristic feature selection method using golden ratio and equilibrium optimization algorithms for speech emotion recognition
Speech is the most important media of expressing emotions for human beings. Thus, it has
often been an area of interest to understand the emotion of a person out of his/her speech by …
often been an area of interest to understand the emotion of a person out of his/her speech by …
Weighted spectral features based on local Hu moments for speech emotion recognition
Y Sun, G Wen, J Wang - Biomedical signal processing and control, 2015 - Elsevier
Features greatly influence the results of speech emotion recognition, among which Mel-
frequency Cepstral Coefficients (MFCC) is the most commonly used in speech emotion …
frequency Cepstral Coefficients (MFCC) is the most commonly used in speech emotion …