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Analysis of Emotion State Based on Speech Processing

Student: Lapshin Aleksandr

Supervisor: Andrey Savchenko

Faculty: Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod)

Educational Programme: Data Mining (Master)

Year of Graduation: 2017

The theme of the master's work is "Analysis of Emotion State Based on Speech Processing" The key words of the master's work are the spread of emotions, machine learning. The object of the study is the recognition of emotions by the speech signal. The amount of work is 57 sheets. The introduction describes the relevance of the topic, the statement of the problem and the purpose of the study. In the first chapter of the master's work, the theoretical foundations of the algorithms used are considered. In the second chapter there is a description and work of the demonstration application. In the third chapter, a study is made of increasing the accuracy of the proposed algorithm. The conclusion contains the main conclusions and describes the completed tasks.

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