Pitch in Speaker Recognition

摘要：

In order to improve the speaker recognition accuracy, the pitch is applied to GMM-based speaker recognition (SR). The circular average magnitude difference function (CAMDF) method is used to extract the pitch. An endpoint detection method based on the pitch is proposed. The following four features are selected as the features of the SR: the mel-frequency cepstral coefficient (MFCC) based on the pitch, the pitch contour, the pitch first-order difference and the pitch changed rate. Experimental results show that the recognition rate using proposed endpoint detection method is improved 20％ than that using the conventional method. The recognition rate of the proposed system using the selected four features is improved 5％ than that of the speaker recognition system using the MFCC parameters only.

关键词： speaker recognition pitch MFCC endpoint detection pitch contour

作者: ZHU Jian-wei SUN Shui-fa LIU Xiao-li LEI Bang-jun

作者单位: College of Electrical Engineering and Information Technology China Three Gorges University Yichang , College of Electrical Engineering and Information Technology China Three Gorges University Yichang ,

会议类型: 国际会议

会议名称: 2009 Ninth International Conference on Hybrid Intelligent Systems(第九届混合智能系统国际会议 HIS 2009)

会议地点: 沈阳

会议语种:英文

页码: 1-4

在线出版日期: 2009-08-12（万方平台首次上网日期，不代表论文的发表时间）