收费公路“一网”运营模式下客户服务智能质检研究

X. Gao, Huijuan Song, Yan Li, Qing Zhao, Wei Li, Yingang Zhang, Lu Chao
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引用次数: 0

摘要

2020年,487个省际收费站正式取消,标志着世界上最大的高速公路收费网络正式形成,开创了高速公路“一网运营、一体化服务”的全新局面。这也对ETC的用户服务提出了新的要求和挑战。本文针对ETC客服网络语音质检中存在的“质检范围不广”、“质检效率不高”等问题进行了研究。基于人工智能技术,建立了语音识别、角色识别、语义识别和情感识别的逻辑,构建了智能质检模型。运行数据表明,这些努力有效地提高了服务效率和服务质量,为ETC用户服务的稳定、高质量发展奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Intelligent Quality Inspection of Customer Service Under the “One Network” Operation Mode of Toll Roads
The official abolition of 487 toll booths at provincial borders in 2020 marked the formal formation of the world's largest motorway toll collection network, creating a brand-new situation of “one network operation and integrated services” for motorways. It also put forward new requirements and challenges for the user services of the ETC. This paper addresses the problems existing in the voice quality inspection of ETC customer service network, such as “the scope of quality inspection is not wide” and “the efficiency of quality inspection is not high”. Based on AI technology, the logic of speech recognition, role recognition, semantic recognition and emotion recognition is established, and the intelligent quality inspection model is constructed. The operation data shows that these efforts effectively improve the quality of service efficiency and service quality and lay a foundation for steady and quality development of ETC user service.
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