基于铁路调度指挥作业指令的关键词识别技术应用研究

针对规范铁路调度人员的口头指令这一问题，计划使用关键词识别技术来对调度人员的作业指令进行识别记录，对不规范用语进行约束调整。采用基于关键词–废料模型的关键词识别技术，使用非词格依赖的最大互信息准则端到端训练方法，进行关键词识别模型训练，实现对铁路调度人员口头指令的自动识别。针对出现频率最高的2个关键词进行实验分析，研究该方法在工业场景下应用的可行性。实验结果表明，通过调节参数控制误识率，可达到一定的关键词识别率，具备应用可行性。

Application research on keyword recognition technology based on railway dispatching operation instruction

In order to standardize the verbal instructions of railway dispatchers, this paper planned to use keyword recognition technology to identify and record the operation instructions of dispatchers, and restrict and adjust the non-standard terms. Based on the recognition technology of keyword-waste model, the paper used the end-to-end training method of maximum mutual information criterion without word lattice dependence to train the keyword recognition model, so as to realize the automatic recognition of railway dispatcher's oral instructions. Experimental analysis was carried out for the two keywords with the highest frequency to study the feasibility of this method in industrial scenarios. The experimental results show that by adjusting parameters to control the error recognition rate, a certain keyword recognition rate can be achieved which is feasible for application.