An Intelligent Voice Interaction Model Based on Mobile Teaching Environment
Yuhai Tao · 2019
To improve the effect of voice interactive learning in mobile teaching, this paper analyses the system characteristics of Android architecture and the characteristics of voice interactive mode in embedded environment. Firstly, the specific speech recognition algorithm based on practical application background is studied, and the complexity and real-time performance of the algorithm module are analyzed. Then, a speech recognition algorithm, Dynamic Time Planning(DTW) is adopted in the off-line mode of the network, and the adaptability of the related algorithms is optimized to enable it to be more suitable for the application in Android embedded environment. At the same time, the speech recognition technology and speech synthesis technology are integrated, and the database technology in Android is used to synthesize several modules into a complete and comprehensive intelligent voice interaction system. Finally, the function of the system is tested as a whole and the test data show that the voice interaction model designed in this paper can achieve speech recognition and intelligent voice control more completely. The recognition speed is faster, and it can meet people's needs for efficient, simple and fast interaction.