Research On Control Technology Of Robot Based On Speech Recogniton

Voice, as the most natural human communication tool, is important sources of human getting resources information. With rapid development in information technology, so making the computer "understand" the human voice, is one of the most convenient forms of human - machine communication, speech recognition is such a technology. In recent years, speech recognition technology has been the focus of computer applications. Similarly, robot technology has gradually become one of the signs the development of automation technology. Therefore, the combination of speech recognition technology and robot control technology reflects the high technology of today's automation.In this paper, we use Borch technology raveler -â…¡robot to achieve the goal of robot voice control, for speech signal feature extraction problem, the performance of speech recognition algorithms and motion tests of robot ,what we do are as follows:We propose a new way of speech feature parameters extraction.At the traditional MFCC feature parameters based on human auditory characteristics, combined with the formant parameters based on the person's voice mechanism, form the new voice feature parameters (MFCC + resonance peak). The method is based on he voice mechanism of sound and the human auditory, it includes more speech parameters information than the traditional algorithms,also it has higher accuracy and strong resistance to noise.For the fefect of the high dependence on the initial value,easy to fall into local optimal and the requirements of real-time DTW algorithm during the training process of traditional hidden Markov model,we proposed three steps hybrid algorithm (TSMS) and DTW efficient algorithms. The simulation results show that, TSMS algorithms have stronger adaptability, faster convergence and higher recognition accuracy. DTW algorithm can efficiently satisfy the real-time requirements and reduce the amount of calculation. The given experimental results of two improved algorithms verifyied the advantages of them.Finally, we designed the robot voice control system. Create Microsoft Speech SDK file, write the port procedures of DTW efficient algorithms and robot testing procedures, and analyzed the test results.