Compared to the other methods of the NN speech recognition, with the network former transacting, it can shorten the time of training and recognition of the back-end NN sorter and simplify the network structure of the sorter to maintain higher recognition rate. 和其他的神经网络说话人识别方法相比较,用这种网络进行前端处理,可以缩短后端神经网络分类器的训练和识别时间,简化分类器的网络结构并保持较高的识别率。