东南大学学报（英文版）2017，Vol.33Issue(4)：437-443,7.DOI:10.3969/j.issn.1003-7985.2017.04.008
基于不确定性线性判别分析的维吾尔语语音情感识别
Emotion recognition of Uyghur speech using uncertain linear discriminant analysis
摘要
Abstract
To achieve efficient and compact low-dimensional features for speech emotion recognition,a novel feature reduction method using uncertain linear discriminant analysis is proposed.Using the same principles as for conventional linear discriminant analysis (LDA),uncertainties of the noisy or distorted input data are employed in order to estimate maximally discriminant directions.The effectiveness of the proposed uncertain LDA (ULDA) is demonstrated in the Uyghur speech emotion recognition task.The emotional features of Uyghur speech,especially,the fundamental frequency and formant,are analyzed in the collected emotional data.Then,ULDA is employed in dimensionality reduction of emotional features and better performance is achieved compared with other dimensionality reduction techniques.The speech emotion recognition of Uyghur is implemented by feeding the low-dimensional data to support vector machine (SVM) based on the proposed ULDA.The experimental results show that when employing an appropriate uncertainty estimation algorithm,uncertain LDA outperforms the conventional LDA counterpart on Uyghur speech emotion recognition.关键词
维吾尔语/语音情感数据库/基音频率/共振峰/不确定性线性判别分析Key words
Uyghur language/speech emotion corpus/pitch/formant/uncertain linear discriminant analysis (ULDA)分类
信息技术与安全科学引用本文复制引用
塔什甫拉提·尼扎木丁,赵力,张明阳,徐新洲,艾斯卡尔·艾木都拉..基于不确定性线性判别分析的维吾尔语语音情感识别[J].东南大学学报（英文版）,2017,33(4):437-443,7.基金项目
The National Natural Science Foundation of China (No.61673108,61231002). （No.61673108,61231002）
