Voice Controlled Robot using Neural Network based Speech Recognition using Linear Predictive Coding
Voice controlled robots, machines and systems are becoming more and more common in the current era of technology. Robots which can be operated by human verbal commands have widespread applications in the area of medicine, industry, military and as well as space exploration. This paper presents the work done in development of a voice controlled Arduino based robot. Features of the speech signal are extracted using Linear Predictive Coding, which are then processed by neural network based classifier with 10 input, 50 hidden and 5 output units. System has been implemented using MATLAB and it was found that different commands had varying amount of classification errors.