![]() Today, research is being carried out on recognizing facial emotions from videos, on determining emotions by voice rh2ythm from audio information, and by writing style from texts. Achievements in the field of artificial intelligence are used in the development of affective computing and creation of emotional machines. The results obtained will make it possible in the future to develop devices that begin to record and recognize a speech signal, for example, in the case of detecting negative emotions in sounding speech and, if necessary, transmitting a message about potential threats or riots.Īutomatic recognition of human emotions is a new and interesting area of research. The experiment carried out has shown the effectiveness of this method. The described method can be applied when there is a need to recognize positive and negative emotions in a crowd, in public transport, schools, universities, etc. The advantage of this method is the possibility of its widespread use since it is not demanding on computational resources. In case of the presence of emotions, there occurs complete recognition of words and definitions of emotions in speech. The method can be used for different languages and consists of the following tasks: capturing a signal, detecting speech in it, recognizing speech words in a simplified transcription, determining word boundaries, comparing a simplified transcription with a code book, and constructing a hypothesis about the degree of speech emotionality. The accuracy of the proposed method is 79.7% for the Kazakh language. To assess the quality of the method, an experiment was conducted for 420 audio recordings. The method analyzes human speech for the presence of emotions. The purpose of this method is to recognize emotions in spoken speech through the knowledge base of emotionally charged words, which are stored as a code book. ![]() The emotional speech recognition method presented in this article was applied to recognize the emotions of students during online exams in distance learning due to COVID-19.
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