TY - JFULL AU - Mahdi Shaneh and Azizollah Taheri PY - 2009/10/ TI - Voice Command Recognition System Based on MFCC and VQ Algorithms T2 - International Journal of Computer and Information Engineering SP - 2230 EP - 2235 VL - 3 SN - 1307-6892 UR - https://publications.waset.org/pdf/4967 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 33, 2009 N2 - The goal of this project is to design a system to recognition voice commands. Most of voice recognition systems contain two main modules as follow 鈥渇eature extraction" and 鈥渇eature matching". In this project, MFCC algorithm is used to simulate feature extraction module. Using this algorithm, the cepstral coefficients are calculated on mel frequency scale. VQ (vector quantization) method will be used for reduction of amount of data to decrease computation time. In the feature matching stage Euclidean distance is applied as similarity criterion. Because of high accuracy of used algorithms, the accuracy of this voice command system is high. Using these algorithms, by at least 5 times repetition for each command, in a single training session, and then twice in each testing session zero error rate in recognition of commands is achieved. ER -