重庆大学学报2017，Vol.40Issue(5)：88-94,7.DOI:10.11835/j.issn.1000-582X.2017.05.011
语谱特征的身份认证向量识别方法
An i-vector speaker recognition method based on spectrogram
摘要
Abstract
An i-vector speaker recognition method using spectral features was proposed to solve the problem that there is always insufficient information when the mel-frequency cepstrum coefficients (MFCC) are used as feature vectors of i-vectors.Specifically,the speech signals are pre-emphasized,framed and windowed first,and then fed to the short-time Fourier transform to obtain spectrogram.These spectrograms are submitted into Gaussian universal background model for constructing the i-vectors in an appropriate low-dimensional linear subspace flow pattern.These vectors are conformed to normal distribution and reduced by linear discriminant analysis.Finally,Log-likelihood ratio (LLR) method is used for marking i-vectors in training and testing stage to complete the speaker recognition.Standard numerical experiment results with TIMIT database show that compared with recognition method using MFCC as features,the EER(equal error rate) of the method in this paper is lower.关键词
语谱图/身份认证向量/说话人识别Key words
spectrogram/identity vector/speaker recognition分类
信息技术与安全科学引用本文复制引用
冯辉宗,王芸芳..语谱特征的身份认证向量识别方法[J].重庆大学学报,2017,40(5):88-94,7.基金项目
重庆市教育成果转化基金资助项目(KJZH14207).Supported by the Chongqing Education Achievement Conversion Foundation (KJZH14207). （KJZH14207）
