VOICE ACTIVATED MULTIPROCESSOR EMBEDDED SYSTEM TO IMPROVE THE CONTROL OF A MOTORIZED WHEELCHAIR

摘要

The main idea of this work is to process analog voice signal. The theme is implemented for controlling the wheelchair by voice through speech processing using Hawkboard (OMAP processor). The adopted model is based on grouping a ARM and a DSP processor for speech enhancement with a voice recognition module for isolated word and speaker dependent. The Texas Instruments OMAP-L138 is integrated in order to enhance the quality of speech signal by reducing noise and connected with the wheelchair for processing of the voice signal. The Hawkboard denoises speech signal and HMC2007 recognizes the commnads. It also generates different desired signals according to the spoken words which further used to control the movement of wheelchair, a vector of information on the context given by a set of sensors for security actions. Six words are recognized which are start, forward, reverse, left, right, stop. In order to gain in time design, experiments have shown that the best way is to choose a speech recognition kit and to adapt it to the application. The result at the end show the efficiency of the system.