English Linguistics Multimodal Emotion Recognition System Based on BOOSTING Framework

Abstract

AbstractWith the emergence of artificial intelligence, the realization of more humane and intelligent human-computer interaction has always attracted attention, and emotion recognition has become one of the global hot spots. Traditional language translation systems focus on translating voice and text messages into English. However, the way of communication between people is not simply the exchange of textual information, there are also rich emotional exchanges. Therefore, recognizing the emotion of English language has become an indispensable part of realizing natural language translation system. For this reason, this paper proposes to design an English linguistics multimodal emotion recognition system based on the BOOSTING framework. The purpose is to improve the accuracy of the emotion recognition system. This paper mainly uses the methods of comparison and experiment to analyze the single-modal and multi-modal English language emotion recognition technology. Experimental data shows that the accuracy of multi-modal emotion recognition results after fusion for feature extraction can reach more than 47%. And its recognition level basically remains at the same level, with little change.KeywordsBOOSTING frameworkEnglish linguisticsMultimodal recognitionEmotion recognition system