| 面向铁路旅客服务应用的语音识别模型研究 |
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| 引用本文： | 王心雨,景辉.面向铁路旅客服务应用的语音识别模型研究[J].铁路计算机应用,2022,31(4):7-15. |
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| 作者姓名： | 王心雨 景辉 |
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| 作者单位： | 1.中国铁道科学研究院 研究生部，北京 100081 |
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| 基金项目： | 北京经纬信息技术有限公司科研项目（DZYF20-45） |
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| 摘 要： | 为扩大面向铁路旅客服务的语音识别应用,文章研究适用于铁路旅客服务应用的语音识别模型,使用基于卷积增强的Conformer编码结构和RNN-T模型结构,构建基于Conformer-Transducer的语音识别模型.由于卷积网络容易忽视输入信号整体与局部间关联,在Conformer结构中的卷积模块加入注意力机制,用以修正...
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| 关 键 词： | 铁路旅客服务 语音识别模型 机器学习 神经网络 语言模型 热词赋权 |
| 收稿时间： | 2021-09-27 |
Research on speech recognition model for railway passenger service application |
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| Affiliation: | 1.Postgraduate Department, China Academy of Railway Sciences, Beijing 100081, China2.Institute of Computing Technologies, China Academy of Railway Sciences Corporation Limited, Beijing 100081, China |
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| Abstract: | In order to promote the application of speech recognition for railway passenger services, a study on speech recognition model for railway passenger service applications is made, in which the Conformer encoder structure based on convolution enhancement and the RNN-Transducer model structure are used to realize the Conformer-Transducer speech recognition model. Since the convolution neural networks tend to ignore the association between the whole signal and a signal sequence, the convolution module in the Conformer structure are improved and the attention mechanism is added to the convolution module for modifying the calculation results of the convolution module. A speech data set of railway passenger service is built to test and evaluate the improved model and the results show that the accuracy of the improved speech recognition model can reach 92.09% and the error rate of speech recognition is reduced by 0.33% compared with the general Conformer-Transducer model. Because railway passenger services involves specific text information, such as railway travel regulations and frequently asked questions by the passengers, a text processing mechanism, language model or weighting of hot words, is then integrated into the speech recognition model, which enable the model recognize railway-specific terms better than other speech recognition algorithims. This speech recognition model has been applied in passenger FAQ inquiry equipment and intelligent station service robot, which is conducive not only to enhance the level of railway passenger services and improve railway passenger travel experience but also to facilitate downsizing the staff and increasing the work efficiency of railway passenger service. |
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