Abstract
This paper details the simulation and design of a voice tele-operating system for a robot arm (manipulator). The methodology adopted is based on hybrid technique that combines classical patterns used in automatic speech recognition system such as Crossing Zero, energy, Mel frequency cepstral derivative MFCC coefficients as features and Dynamic time warping as classifier. To implement the approach on a real-time application, a Personal Computer interface was designed to control the movements of a six degree of freedom (DOF) robot arm by transmitting the orders via radio frequency circuits. A simulation GUI was developed in order to guide the user in his commands. The speech recognition agent is tested and results of hybrid and classical techniques were compared. The hardware of the slave part (the robot arm) is composed from: a microcontroller from Microchip PIC16F628, a radio frequency wireless module and the power circuits.
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Fezari, M., El-Emary, I., Boumaz, M.S., Attoui, H. (2012). Improvement of Spotting Words Speech Recognition Agent for Tele-Operating a Manipulator Arm. In: Benlamri, R. (eds) Networked Digital Technologies. NDT 2012. Communications in Computer and Information Science, vol 294. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30567-2_27
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DOI: https://doi.org/10.1007/978-3-642-30567-2_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-30566-5
Online ISBN: 978-3-642-30567-2
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