Mohamed Fezari  , 
    Design of Speech Control System Based on HMM Approach Applied to a Robot Arm,
    International Journal of Soft Computing,
    Volume 3,Issue 2,
    2008,
    Pages 106-111,
    ISSN 1816-9503,
    ijscomp.2008.106.111,
    (https://makhillpublications.co/view-article.php?doi=ijscomp.2008.106.111)
    Abstract: A voice command system for a robot arm is designed as a part of a research project. The methodology adopted is based on a spotted words recognition system based on a robust HMM (Hidden Markove Model) technique with cepstral coefficients as parameters used in automatic speech recognition system. To implement the approach on a real-time application, a Personal Computer parallel port  interface was designed to control the movement of a set of stepper motors. The designed system user can control the movements of 5 Degree of Freedom (DOF) for a robot arm using a vocal phrase containing spotted words. Other applications are proposed.
    Keywords: Human-machine interaction;hidden markove model;voice control;stepper motors and robotics