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Emotional Speech Recognition Method Based on Word Transcription

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dc.contributor.author Bekmanova, Gulmira
dc.contributor.author Yergesh, Banu
dc.contributor.author Sharipbay, Altynbek
dc.contributor.author Mukanova, Assel
dc.date.accessioned 2024-09-11T07:56:37Z
dc.date.available 2024-09-11T07:56:37Z
dc.date.issued 2022
dc.identifier.citation Bekmanova, G.; Yergesh, B.; Sharipbay, A.; Mukanova, A. Emotional Speech Recognition Method Based on Word Transcription. Sensors 2022, 22, 1937. https:// doi.org/10.3390/s22051937 ru
dc.identifier.issn 1424-8220
dc.identifier.other doi.org/10.3390/s22051937
dc.identifier.uri http://rep.enu.kz/handle/enu/16201
dc.description.abstract 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. 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 method analyzes human speech for the presence of emotions. To assess the quality of the method, an experiment was conducted for 420 audio recordings. The accuracy of the proposed method is 79.7% for the Kazakh language. 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. In case of the presence of emotions, there occurs complete recognition of words and definitions of emotions in speech. The advantage of this method is the possibility of its widespread use since it is not demanding on computational resources. 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 experiment carried out has shown the effectiveness of this method. 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. ru
dc.language.iso en ru
dc.publisher Sensors ru
dc.relation.ispartofseries Volume 22;Issue 5
dc.subject emotion recognition ru
dc.subject speech recognition ru
dc.subject crowd emotion recognition ru
dc.subject affective computing ru
dc.subject distance learning ru
dc.subject e-learning ru
dc.subject artificial intelligence ru
dc.title Emotional Speech Recognition Method Based on Word Transcription ru
dc.type Article ru


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