Abstract: In order to improve the robustness of speech recognition in noise environment,a speech recognition algorithm based on wide residual deep neural network is proposed.The algorithm combined the dual micro microphone array system,and the voice data set was the dual micro microphone data set.The power normalized cepstrum coefficient was used as the characteristic parameter to input into the residual network for training.Experimental results show that,compared with the Resnet15 model and Resnet18 model,the wide ResNet with only three residual modules has higher accuracy in the recognition of speech command words and the internal and external speaker detection task under noise environment,both reaching more than 95％.