基于中文语音识别技术的舰艇指挥训练系统的研究

Research on Vessel Command Training System Based on Chinese Speech Recognition Method

针对舰艇指挥训练系统的特点,提出了一种利用语音识别技术提高其训练效率的方法;首先分析了舰艇指挥指令的语言特点,然后研究了基于Sphinx平台的汉语连续语音识别的相关问题,包括声学模型的训练、语言模型的训练及语音识别引擎等;最后设计并实现了一个非特定人,中等专用词汇量的连续汉语语音识别系统;实验采用了一定数量的数字和专用词汇进行验证,结果表明,经过声学模型训练后,该系统的识别率有较大提高;该方法对提高舰艇指挥训练系统的自动化水平具有一定的指导意义。

A method which will improve the training efficiency is proposed in this paper with the help of speech recognition technology due to the features of naval vessel command system. In the first place, the linguistic features of vessel command instruction are analyzed. And then the relevant problems about continuous Chinese speech recognition are studied on the basis of Sphinx platform, which includes the training of acoustic model, the one of language model, the engine of speech recognition, and so forth. Based on the analyses a non--specific, moderate special Chinese vocabulary continuous speech recognition system is designed and finally comes into being. Experiments use a certain amount of numbers and specialized vocabulary, The results indicate that the system has a high recognition rate after the training of acoustic model. The method of this paper has important guidance for improving the automatic level of the system.