四川理工学院学报：自然科学版2011，Vol.24Issue(4)：472-476,5.
基于粗神经网络的语音情感识别
Speech Emotion Recognition Based on Rough Set and ANN
摘要
Abstract
Speech emotion recognition is about extracting effect acoustic features from speech signals and recognizing emotion state of human by using of intelligent computation.The domestic related research of emotion speech database,features extraction and recognition ways are studied.Learning from these related researches,the features extraction was found to have important affections on the speech emotion recognition.1050 sentences was recorded and 30 features extracted form every sentence and then formed to a database of 1050×30.The information consistence of rough set is applied to simplify 30 features of database to 12 features.Then artificial neural network is used to recognize emotion state of 525 sentences,it attains to the highest recognition rate of 84%.The results shows that using different ways to recognize different emotion has better effects.关键词
语音情感识别/情感分类/特征提取/粗糙集/BP网络Key words
speech emotion recognition/emotion classification/features extraction/rough set/BP network分类
信息技术与安全科学引用本文复制引用
曾光菊..基于粗神经网络的语音情感识别[J].四川理工学院学报：自然科学版,2011,24(4):472-476,5.基金项目
四川理工学院校内项目 （）
