Research And Realization Of The Speech Recognition Control System For Wheelchair Robot

With the development of robot, the intelligent robot becomes one research focus. For the control of the robot, speech control is the most natural and convenient way. Speech recognition technology can make robot understand human language, the signal from recognition can be used as voice control signal and applied in many technology domains of robot. The intelligent wheelchair is one important research domain of the series of the elder-aid and handicapped-aid robots. By applying speech recognition technology to the common wheelchair, it is very convenient to use voice to control the movement of wheelchair. Therefore, it is very important to research and develop practical robot speech recognition control system in order to apply the service robot widely. The main content of the paper is below.Firstly, the speech instruction recognition algorithm of the wheelchair robot is realized. According to the theory of speech recognition, the speech instruction of the wheelchair is pre-processed, including pre-filtering, digitalization, pre-emphasis, packetization, wavelet denoising, endpoint detection with double threshold. The performance of mel frequency cepstral coefficients and linear predictive cepstral coefficients is contrasted and analyzed, MFCC has better performance and it is selected as the feature parameter. The more efficient dynamic time warping algorithm is adopted as the recognition algorithm. The wheelchair instruction recognition algorithm is programmed, it has better performance and efficiency and it is easily realized on hardware.Secondly, the speech recognition control system of the wheelchair robot is designed. The hardware design of the speech recognition control system which selects SPCE061A as the core is completed, and the software of the system is programmed in the integrated developing environment of SPCE061A. The experiment result shows that the system has better recognition performance and mechanical performance. In the meantime, the system has simple structure and better performance-price ratio, and it can be enlarged in function and transplanted easily. Therefore, the speech recognition system has broad application prospects.