Speech Recognition and Its Application to Robotic Arms

This paper focuses on the development of a lightweight and easy-to-use robotic arm that can be controlled using speech recognition technology. The arm can be controlled using live voice instructions, and the system has been designed to work with both English and Kannada voice commands. The image model used for speech recognition predicts audio labels based on spectrograms, and the system transfers the prediction to the microcontroller using a serial port connection. The microcontroller then moves the arm based on the instructions received. The system is designed to be accessible to people of all backgrounds, regardless of their educational level or other factors. The project has the potential to make a significant impact by enabling people to use robotics to perform tasks that would otherwise be difficult or impossible. The work describes the use of four predefined English and Kannada commands to assess the success rate of speech recognition using machine learning models, specifically the ANN and the CNN. The accuracy of the models was evaluated and compared for both the English and Kannada datasets.