中文摘要：

为了进一步提升i.vector说话人识别模型的系统性能，探讨了基于i.vector的说话人识别系统中训练时长、男女比例和高斯混合度对系统识别性能的影响。针对训练时长、男女比例和高斯混合度设置了一组实验，结合目前最流行的语音识别工具Kaldi进行验证，得出i.vector说话人识别算法的最佳参数，为以后的基于i.vector说话人识别算法研究提供数据依据。

英文摘要：

In order to further enhance the system performance of speaker recognition model based on i-vector,the effect ofthe training time,the sex ratio and Gaussian mixture in the speaker recognition system based on i-vector on the performance ofsystem identification is discussed in this paper. In this article,a set of experiments is set in allusion to the training time,thesex ratio and Gaussian mixture,and is verified in combination with the most popular voice recognition tool Kaldi. The best pa-rameters of the speaker recognition algorithm based on i-vector were obtained,which provided a data basis for later research onthe speaker recognition algorithm based on i-vector.