The Research And Implementation Of Mobile Terminal Of Vehicle Network Which Based On Small-scale Vocabulary Speech Recognition And TTS System

The voice of human-computer interaction is an important element of human-computer interaction works. Chinese voice interactive system has been relatively mature by now. For example, IFLYTEK mobile TTS system has been put into commercial use in China now.In this paper, interactive voice system is for the study. The aim is to build a vehicle voice interactive system based on mobile network. Realize the voice recognition module and speech synthesis algorithm module and construct its corresponding system. Experimental tests to good effect. The system can be transplanted to the embedded environment and it meets the needs of a networked environment for vehicles.This paper introduces the research and implementation of the mobile terminal of vehicle network which based on small-vocabulary speech recognition and TTS system. Analysis the features of the Android mobile phone platform hardware and embedded environments interactive voice system. Discussed the speech recognition and speech synthesis algorithm based on the context of the specific application. Designed speech recognition module(including online mode and offline mode)and speech synthesis module. Improved the adaptability of the algorithms for the networked environments. Online mode of the speech recognition:use the HTK to build the speech system on PC, in order to simulate the vehicle networking cloud computing center. Offline mode of the speech recognition:use the DTW algorithm which is writed and modified by C++. The system has been simulated and ran on a computer. Speech synthesis:Use Espeak speech synthesis software and simulate theAndriod system environmenr on PC. The speech synthesis system has been tested and run to good effect. Conduct a test on the degree of complexity and timeliness of the algorithm module.Finally, we get the embedded voice interactive system which is suitable for transplant to the car networking mobile environment.Innovation of this paper is to propose a vehicle embedded systems based interactive voice systems and algorithms which is for adaptive optimization and divided the speech recognition into online and offline modes.