Speech Emotion Recognition Based on Machine Learning

• 1、Pattern Recognition of Intelligence Search Laboratory of Beijing University of Posts and Tele Communications, Beijing, 100876

Abstract：With the development of computer technology and the popularization of artificial intelligence, the study of speech emotion recognition has received extensive attention from academics and industry. From the origin of speech emotion recognition, the classification of speech emotions, to the research status, it is summarized and summarized. Most of the current emotion recognition tasks use manual extraction of multiple acoustic features and physical dimensionality reduction, constructing feature engineering methods to improve recognition results, and then investigating several algorithms commonly used in machine learning, such as support vector machines, decision trees, and support Vector machine and so on. Investigate theseSpeech Emotion Recognition Based on Machine Learning machine learning algorithms from principle to application and elaborate. Use several of these machine learning algorithms to train speech emotion recognition models and use the models for speech emotion classification. According to the experimental results, the performance of each algorithm is compared, and the machine learning algorithm that is most suitable for speech emotion recognition is selected.

Keywords： Speech Emotion Recognition Discrete Emotion Machine Learning Support Vector Machine