Dual-microphone based noise filtering speech enhancement which is motivated by human binaural system, is becoming a popular front-end for automatic speech recognition recently due to its good performance and low cost. This paper discusses the method for speech enhancement using Interaural Time Differences. Moreover, we try to integrate it with a speech recognizer in order to reduce computational complexity. A voice command experiment was conducted to evaluate the method. Results show that integration of Interaural Time Differences and the speech recognizer with a sigmoid-type noise mask could improve recognition rate significantly, even under low signal-to-noise ratios and in the conditions with noise interferences close to the signal sources.