Autor: |
Shaihetdinov, Evgenii, Varkentin, Vitalii, Kraeva, Yana |
Předmět: |
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Zdroj: |
AIP Conference Proceedings; 2023, Vol. 2700 Issue 1, p1-5, 5p |
Abstrakt: |
Machine learning is used in various areas of human life. Intelligent systems for analyzing transport, network traffic, recommendation systems and many others are created with its help. One area of interest is the area of speech analytics. This area is very complex and multifaceted. This is because it is very difficult to train one algorithm that is suitable for different languages and intonations. Emotional colouring is one of the most difficult to classify. As part of this work, a system was developed that allows you to determine gender and emotion from a person's speech using machine learning technologies. [ABSTRACT FROM AUTHOR] |
Databáze: |
Complementary Index |
Externí odkaz: |
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