Abstract:
Since the industrial revolution, people have been looking forward to technologies that will
facilitate their lives, especially handicapped people who are willing to live normal lives.
In this project, we will focus on providing a real-time, offline speech recognition system that
will help handicapped communicate with a mobile robot easily by voice. In essence, we
propose an embedded system of a mobile robot controlled using speech recognition.
Our system utilizes deep learning algorithms for real-time speech commands detection in
order to achieve a more natural approach of robotic systems control, which will help
minimize the distance between the digital world and the physical world.
In this project, we designed, implemented, and trained an intelligent small-scale
speech-controlled car. The system was able to achieve great dynamic speech commands
detection as it was tested with different people’s voices.
We’ve tested our system in different environments with variant noise rates and different
obstacles arrangements and, as expected, it worked greatly. It returned very good results in
minimal response time.
Keywords: Speech recognition, Deep Learning, Mobile robot, ESP-NOW.
