软件导刊
軟件導刊
연건도간
SOFT WARE GUIDE
2014年
4期
11-13
,共3页
语音情感识别%BP神经网络%SVM
語音情感識彆%BP神經網絡%SVM
어음정감식별%BP신경망락%SVM
Speech Emotion Recognition%BP Neural Network%SVM
随着科技的迅速发展，人机交互越来越受到人们的重视，语音情感识别更是学术界研究的热点。将BP神经网络算法用于语音情感识别研究，并在汉语情感数据集上进行了相关实验，识别的准确率达到了91．5％，相较于SVM算法分类精度提高了5％。
隨著科技的迅速髮展，人機交互越來越受到人們的重視，語音情感識彆更是學術界研究的熱點。將BP神經網絡算法用于語音情感識彆研究，併在漢語情感數據集上進行瞭相關實驗，識彆的準確率達到瞭91．5％，相較于SVM算法分類精度提高瞭5％。
수착과기적신속발전，인궤교호월래월수도인문적중시，어음정감식별경시학술계연구적열점。장BP신경망락산법용우어음정감식별연구，병재한어정감수거집상진행료상관실험，식별적준학솔체도료91．5％，상교우SVM산법분류정도제고료5％。
With the rapid development of technology ,human-computer interaction more and more suffer people’s attention . Research on speech emotion recognition is the focus of academic .In this article ,we use the BP neural network algorithm to research on speech emotion recognition and conducted experiments on chinese sentiment data sets ,recognition accuracy rate reached 91 .5 percent ,compared to the SVM accuracy is improved by 5% .
