摘要
说话人识别对于各类机要场所、安防领域的身份认证具有得天独厚的优势。采用矢量量化(VQ)方法建立了一个文本相关的说话人识别系统。实验表明,基于VQ方法的系统简便可靠,特别是在建立识别模型时大大减少了数据的计算量与存储量,在身份测试中获得了较高的识别精度及较快的响应速度。
Speaker Recognition has many advantages in identity verification. In this paper, a text-dependent speaker recognition system is set up based on Vector Quantization（VQ）. Experimental results prove that VQ-based system is simple,effective and reliable. Especially,it can greatly decrease the computational load and memory in modeling. This technique obtains ideal results with high precision of recognition and rapid response rate in the test of identity.
出处
《电声技术》
2006年第4期43-45,共3页
Audio Engineering
基金
湖南省教育厅资助项目(03C249).
关键词
VQ
与文本相关
身份认证
Vector Quantization
Text-dependent
identity verification
