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Using neural network technologies in determining the emotional state of a person in oral communication human emotions (sadness, joy, anger, neutral) from spoken speech. Particular attention is paid
Sentiment extraction and recognition algorithmThis article is dedicated to analyse techniques used to determine the emotional tone or attitude
Research and development of facial emotion recognition methods from imagesThis paper deals with the current scientific and practical problem of emotion recognition from
Как возможна социология эмоций, и что она дает для понимания счастья и справедливости considers its consequences for social sciences (recognition of the cultural nature of emotions, perception
Formation of students emotional intelligence as a factor of their academic development, emotion management, emotional self-motivation, empathy, recognition of other people's emotions
Automated Recognition of Paralinguistic Signals in Spoken Dialogue Systems: Ways of ImprovementThe ability of artificial systems to recognize paralinguistic signals, such as emotions, depression
COGNITIVE STYLE'S PECULIARITIES OF EM'TIONS' RECOGNITION AS A FACTOR OF SUCCESSFUL ADAPTATION TO THE SOCIAL ENVIRONMENT in touch with each other. That is why those who are good at emotions' recognition have some advantages
Speech-based Emotion Recognition and Speaker Identification: Static vs. Dynamic Mode of Speech Representation of
speech-based Emotion Recognition (ER) and Speaker Identification (SI) in static and dynamic modes
Speech emotion recognition based on deep convolutional neural networksSpeech emotion recognition based on deep convolutional neural networks
INTERETHNIC FEATURES OF FACIAL EXPRESSION RECOGNITION ethnophores, the influence of the display rules and emotion recognition, the effect of intragroup advantage
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