基于Mel子带的鲁棒性说话人识别系统

A Robust Mel-Subband Based Speaker Recognition System

在分析各个Mel子带抗噪性能的基础上,提出了鲁棒性的说话人识别算法,经实验结果证明,在噪声环境下此算法能有效地提高说话人识别系统的识别率。

The text-independent speaker recognition is an important part of speaker recognition now, it plays a more and more important role because of its ease-to-use and highly popular application in the information technology. At present, the accuracy of recognition is very high in clean environment, but the performance in noisy environment needs to be improved. Based on the analysis of the noise robustness of each subband, a robust recognition algorithm was presented and the simulation shows the algorithm could increase the accuracy of recognition in noise environment.