Controlled of mobile robots by using speech recognition

Abstract EN

This paper presents a proposed technique of speech recognition system and it applies to voice control of electromechanical appliance, especially voice controlled mobile robots or intelligent wheelchair for handicapped people.

Our aim is to interact with the robot using natural and direct communication techniques.

The aim of this paper is that how the voice can be processed to obtain proper and safe wheelchair movement by high recognition rate.

In order to make voice an efficient communication tool between human and robots, high speech recognition rate must be achieved.

But one hundred percent speech recognition rate under a general environment is almost difficult to achieve.

In this paper, proposed technique called (Multiregdilet transform) is used for isolated words recognition.

Finally use the outputs of neural network (NNT) to control the wheelchair through computer note books and special interface hardware.

A successful recognition rate of 98 % was achieved.