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EMOTION RECOGNITION MOTHOD AND SYSTEM BASED ON FEATURE FUSION

机译:基于特征融合的情绪识别方法及系统

摘要

A feature fusion base perceiving emotion method and a system thereof for recognizing the feeling of the human through the speech signal and face video signal are provided to perform emotion recognition by extracting information from voice signal and image signal. A first information is extracted from collected voice signal corresponding to acoustic feature(P1, P2). A second information including a mouth, eyes, and eyebrows are extracted from facial image signal in which is second information is recognized(P3, P4). A feature value is selected in the first information and the second information by using SFS(Sequential Forward Selection) method(P5). A pattern by emotion is classified by seeing up multi-layer perceptron as an input(P6).
机译:提供了一种基于特征融合的感知情感的方法及其系统,用于通过语音信号和面部视频信号识别人的感觉,以通过从语音信号和图像信号中提取信息来进行情感识别。从收集的对应于声学特征(P1,P2)的语音信号中提取第一信息。从面部图像信号中提取包括嘴,眼和眉毛的第二信息,在第二图像中识别出第二信息(P3,P4)。通过使用SFS(顺序前向选择)方法(P5)在第一信息和第二信息中选择特征值。通过将多层感知器视为输入来对情绪进行分类(P6)。

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