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National Research University Higher School of EconomicsStudent ThesesAnalysis of Emotion State Based on Speech Processing

Student
Title
Supervisor
Faculty
Educational Programme
Final Grade
Year of Graduation
Aleksandr Lapshin
Analysis of Emotion State Based on Speech Processing
Data Mining
(Master’s programme)
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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