  Speech recognition is a prominent technology, which helps us to develop a
Natural language interface through speech for the Human-Robot Interaction
(HRI). It allows the computer to take the spoken instructions, interpret it,
and generate text from it. In this paper, we propose a phoneme based speech
recognition system to control industrial robots. Speech recognition has become
one of the popular interfaces when it comes to reducing robot operator's
efforts to control and command the robot. This paper intends to investigate the
potential of Linear Predictive coding technique to develop a stable and robust
phoneme speech recognition system for robotics applications. Our system is
divided into three segments: a microphone array, a voice module, and a 3-DOF
robotic arm. To validate our approach, we have performed tests with simple and
complex sentences for various robotics activities like manipulating a cube and
pick and place tasks. Moreover, we also analyzed the test result to rectify the
problems and limitations in our approach. The paper presents all the test
results which we have achieved through conducting experiments on our project.
