This paper presents the design and implementation of a Home Automation system Operated by Voice Command. It uses human-computer interaction to control different devices. In this paper, ASR (Automatic Speech Recognition) has been used. The automatic speech recognition (ASR) system is used to accurately and efficiently convert a speech signal into a text message by using MATLAB. The speech signal is captured by using microphone. This signal is pre-processed at front-end for feature extraction using Mel Frequency Cepstrum Coefficient (MFCC). The obtained features are compared at back end for pattern matching using Dynamic Time Wrapping (DTW). After comparing features of recorded voice with database, controlling command is send to microcontroller to control devices. This system is helpful for quadriplegia and blind people.