Using neural network technologies in determining the emotional state of a person in oral communication
Year: 2024
Type: article
Abstract: Human oral speech often has an emotional connotation; this is due to the fact that emotions and our mood influence the physiology of the vocal tract and, as a result, speech. When a person is happy, worried, sad or angry, it is reflected in various characteristics of the voice, the pace of speech and its intonation. However, assessing a person’s emotional state through speech can have a beneficial effect on various areas of life, for example, medicine, psychology, criminology, marketing and education, etc. In medicine, the use of assessing emotions by speech can help in the diagnosis and treatment of mental disorders, as well as in monitoring the emotional state of the patient, identifying diseases such as Alzheimer’s in its early stages, diagnosing autism, etc. In psychology, this method can be useful for studying emotional reactions to various stimuli and situations. In criminology, speech analysis and emotion detection can be used to detect false statements and deception. In marketing and advertising, it can help understand consumer reactions to a product or advertising campaign. In education, assessing emotions from speech can be used to analyze the emotional state of students and optimize the educational process.
Institution: Belgorod National Research University
Language: English
Topic: Emotion and Mood Recognition
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4409730919