the time robustness of a speaker recognition system is one of the key problems for the system's practical performance.
话音识别系统的时间鲁棒性是影响话者识别系统实用化的关键问题之一。
this text introduced the concept of speaker recognition system firstly, then analyzed a few extraction methods of speech feature parameters in common use and a few models of speaker recognition.
本文首先介绍了说话人识别系统的概念,然后分析了几种常用的语音特征参数的提取方法以及说话人识别的几种模型。
speaker recognition system source code integrity, and can be used directly.
说话人识别系统的源代码完整,并可以直接使用。
this paper realized a speaker recognition system based on gaussian mixture models(gmm).
实现了一个基于高斯混合模型(gmm)的说话人辨识系统。
the result of the experiment indicates that this method can improve the recognition rate of the text-independent speaker recognition system based on gmm.
实验结果表明,该方法能改善基于gmm的与文本无关说话人识别系统的识别率。
in the svm-based speaker recognition system study, it is important to obtain a ideal recognition rate.
在基于svm的说话人识别系统研究中,如何获得理想的识别率是亟待解决的问题。
svm-based text independent speaker recognition algorithm, the paper used in the final implementation of a matlab program based on support vector machine speaker recognition system test platform.
基于svm的文本无关说话人识别算法研究,本文在最后用matlab程序实现了一个基于支持向量机的说话人识别系统试验平台。
experiments demonstrate that the distortion measurement presented here can not only improve the speaker recognition system performance, but also enhance its time robustness.
进一步的实验还表明,该失真测度能提高话者识别系统的时间鲁棒性。
the paper combined the speaker feature extracted by ica with vq technique to the ica-vq speaker recognition system with high performance.
使用独立分量分析(ica)来提取说话人特征并与矢量量化(vq)判决方法相结合,实现了一个高性能的基于ica特征的vq(ica-vq)说话人识别系统。
experiments show that the new arithmetic not only has excellent effects on speech improvement but also has potential to improve robustness of a speaker recognition system in noisy environments.
实验结果表明,这种方法不仅有明显的语音增强效果,且应用于噪声环境下的说话人识别系统时,能够提高系统的鲁棒性。
it is mainly about a text-dependent speaker recognition system based on vector quantification (vq) methods.
利用矢量量化(vq)技术实现了与文本有关的说话人识别。
in this paper, a text-dependent speaker recognition system is set up based on vector quantization(vq).
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。