基于时延神经网络的语音识别算法及其在轨道交通领域的应用研究  

Research of Speech Recognition Algorithm Based on Time Delay Neural Network and Its Application in Rail Transit

作　　者：刘悦 林军 罗潇 褚伟 刘任 LIU Yue;LIN Jun;LUO Xiao;CHU Wei;LIU Ren(CRRC Zhuzhou Institute Co.,Ltd.,Zhuzhou,Hunan 412001,China)

机构地区：[1]中车株洲电力机车研究所有限公司,湖南株洲412001

出　　处：《控制与信息技术》2022年第4期11-16,共6页CONTROL AND INFORMATION TECHNOLOGY

摘　　要：语音识别是智能语音交互系统的关键环节,该项技术近年来在汽车电子、消费电子、医疗等领域的应用得到了飞速发展。文章分析了语音技术在车载领域的发展现状,介绍了语音识别技术的发展历程,重点阐述了轨道交通领域对语音识别技术的需求及应用;针对轨道交通不同车型的显示交互内容多变、需定制开发的问题,开展了基于时延神经网络语音识别技术研究,开发基于智能计算平台的列车显示器语音识别系统。该系统能够根据不同显示器平台的交互需求及智能硬件平台的处理性能灵活构建模型,同时在通用模型的基础上优化交互关键词,以提高识别率。最后,在智轨电车不同运行场景及环境噪声下进行了语音识别系统的性能及功能测试,结果显示,语音识别率达到85%以上。该技术的应用不仅为司机带来便捷的交互体验,也为智能语音技术在轨道交通其他车辆上的应用奠定基础。Speech recognition technology is a key component of the intelligent voice interaction system. In recent years, this technology has developed rapidly and is widely used in automotive electronics, consumer electronics, medical and other fields. This paper analyzes the development status of speech technology in the field of automotive field, introduces the development process of this technology in detail, focuses on the demand and application of speech recognition technology in the field of rail transit.Aiming at the problem that the display interactive content of different models of rail transit is changeable and needs to be customized and developed, the research on speech recognition technology based on time-delay neural network is carried out and a speech recognition system for train display based on intelligent computing platform is developed. The system can flexibly build models according to the interaction requirements of different display platforms and the processing performance of intelligent hardware platforms, and optimize the interaction keywords on the basis of the general model to improve the recognition rate. Finally, the test is completed in the voice interaction system of autonomous-rail rapid tram display in different scenes and noisy conditions and the word recognition rate reaches more than 85%. It also lays the foundation for the application of intelligent voice technology in other rail transit vehicles.

关 键 词：语音交互 语音识别 深度学习 时延神经网络 轨道交通 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]