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Conversational In-Vehicle Dialog Systems: The past, present, and future

机译:对话式车载对话系统:过去,现在和未来

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摘要

Automotive technology rapidly advances with increasing connectivity and automation. These advancements aim to assist safe driving and improve user travel experience. Before the realization of a full automation, in-vehicle dialog systems may reduce the driver distraction from many services available through connectivity. Even when a full automation is realized, in-vehicle dialog systems still play a special role in assisting vehicle occupants to perform various tasks. On the other hand, in-vehicle use cases need to address very different user conditions, environments, and industry requirements than other uses. This makes the development of effective and efficient in-vehicle dialog systems challenging; it requires multidisciplinary expertise in automatic speech recognition, spoken language understanding, dialog management (DM), natural language generation, and application management, as well as field system and safety testing. In this article, we review research and development (R&D) activities for in-vehicle dialog systems from both academic and industrial perspectives, examine findings, discuss key challenges, and share our visions for voice-enabled interaction and intelligent assistance for smart vehicles over the next decade.
机译:随着连接性和自动化程度的提高,汽车技术迅速发展。这些进步旨在帮助安全驾驶并改善用户出行体验。在实现完全自动化之前,车载对话系统可以减少驾驶员对通过连通性获得的许多服务的分心。即使实现了完全自动化,车载对话系统在协助车辆乘员执行各种任务方面仍然发挥着特殊作用。另一方面,与其他用途相比,车载用例需要解决的用户条件,环境和行业要求截然不同。这使得有效和高效的车载对话系统的开发具有挑战性。它需要在自动语音识别,口语理解,对话管理(DM),自然语言生成和应用程序管理以及现场系统和安全测试方面拥有多学科专业知识。在本文中,我们从学术和工业角度回顾了车载对话系统的研发(R&D)活动,检查了发现,讨论了关键挑战,并分享了我们对语音交互和智能汽车智能协助的愿景。下个十年。

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