组合特征和二级判断模型相结合的说话人识别

针对目前说话人识别中个性化的特征提取以及假冒说话人的问题，提出一种组合特征提取和二级判断模型相结合的说话人识别方法。在特征提取阶段，采用MFCC倒谱特征、Delta_ Delta特征与平均幅度差法提取的基音周期相结合进行组合特征提取；在识别阶段，采用得分规整后的得分值与一个统一的阈值比较，将一部分假冒说话人排除后，再结合二级判断模型进行识别。实验结果证明该方法有效提高了识别率。

Speaker recognition method using combined features extraction and two-stage decision model

Aimed at the problems that personalized feature extraction and impostor enter in speaker recognition,this paper proposes a speaker recognition method using combined features extraction and two-stage decision model.In the feature extraction stage,it uses combination of feature extraction combined with MFCC（Mel Frequency Cepstrum Coefficient） cepstrum feature, Delta_Delta feature and pitch extracting based on average amplitude difference method;in the recognition stage,it uses the score after score normalization compared with the unified threshold,and eliminates some impostor enter then combines two-stage decision model.Experimental results demonstrate the method improves the recognition rate.