Abstract
Human life could be much more comfortable, if global machinery works on voice commands. There are lot of products available in the market those provide us automated voice controlled working experience. Voice-identification is a kind of technology in which, machine responds to human voice. The goal of this project is to design and implement voice controlled embedded system in noisy environment. The project consists software and hardware design. The software part is to eliminate noise from the original signal and develop the speech recognition algorithm (DTW). The hardware is used for speech recognition. In this project, DTW algorithm is developed to study and to research the implementation of the speech recognition for single-word. In addition, in this project I implemented nearest neighbor algorithm followed by DTW, which helps to match the speech with different people’s accents. For really good result I used wiener filter to increase signal to noise ratio of applied signal. Software portion is fully developed in MATLAB environment. At the other end, hardware part was concentrated on comparing and processing of applied speech with pre-stored speech signal using HM2007. Also after the processing, output of the hardware controls the system according to the speech.