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Automated Recognition of Paralinguistic Signals in Spoken Dialogue Systems: Ways of Improvement
Sidorov, Maxim, Schmitt, Alexander, Semenkin, Eugene S., Сидоров, Максим, Шмитт, Александр, Семенкин, Евгений C.
of such systems. Firstly, we propose building speaker- or gender-specific emotion models. Thus, an emotion
Speech-based Emotion Recognition and Speaker Identification: Static vs. Dynamic Mode of Speech Representation
Sidorov, Maxim, Minker, Wolfgang, Semenkin, Eugene S., Сидоров, Максим, Минкер, Вольфганг, Семенкин, Евгений C.
of speech-based Emotion Recognition (ER) and Speaker Identification (SI) in static and dynamic modes
Features of social, emotional and cultural intelligence and recognition of emotions by Russian and Asian students
Karabuschenko N.B., Pilishvili T.S., Chkhikvadze T.V., Sungurova N.L.
-intellectual features of facial expressions recognition by the Russian and Asian students, and of the personal emotional
Neurotransmitters Level Detection Based on Human Bio-Signals, Measured in Virtual Environments
Kugurakova V., Ayazgulova K.
emotion by measuring the human bio-signals: heart rate, electroencephalogram (EEG), blood volume pressure
Emotion recognition in different cultures
Karabuschenko N.B., Ivashchenko A.V., Sungurova N.L., Hvorova E.M.
Background: This article substantiates the necessity to study the emotion recognition in cross
Specifics of Emotion Recognition by Teenagers
Karabuschenko Natalia
of our research project was to explore the specifics of emotion recognition by Russian and Mongolian
CULTURAL AND SPIRITUAL ASPECTS OF EMOTION RECOGNITION, BY REPRESENTATIVES OF DIFFERENT ETHNIC GROUPS
Hvorova E.M.
the characteristics of the expression and emotion recognition by representatives of different cultures
FEATURES OF EMOTION RECOGNITION BY STUDENTS FROM RUSSIA AND ASIAN COUNTRIES (Intellectual foundations)
Karabuschenko N.B., Sungurova N.L., Chkhikvadze T.V., Pilishvili T.S.
of the intellectual foundations of emotion recognition, identifies common and particular aspects in the implementation
COGNITIVE STYLE'S PECULIARITIES OF EM'TIONS' RECOGNITION AS A FACTOR OF SUCCESSFUL ADAPTATION TO THE SOCIAL ENVIRONMENT
Хворова Е.М.
in touch with each other. That is why those who are good at emotions' recognition have some advantages
EmotionIQ: emotion recognition by photo with neural networks
Orsik, S. P.
of emotion recognition such as face detection, feature extraction and emotion classification are considered.

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