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Context-Based Location Estimation for In-Vehicle Gaze-Assisted Speech Interaction

机译:车载凝视辅助语音交互的基于上下文的位置估计

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The present invention provides a system and a method to incorporate environmental and personal context 5 to fuse between driver's gaze direction 3 and vehicle location 2 for spoken intent resolution that relates to POIs (Places of interest). We are focusing on the problem of multi-modal (speech & gaze) intent resolution in an in-vehicle scenario for queries that relate to POIs. For example, addressing the query: "What are the opening hours of this restaurant?", and resolving which restaurant the user is referring to (POI resolution 10). Our method uses environmental and personal context as a decision parameter for whether to use gaze d irection or vehicle location for better estimation of POI location. By improving the location estimation, we improve also the intent resolution of the POI. The system: Estimates the type of POI 6 (e.g., "restaurant") in the speech query 1 using an NLU system. Estimates the location of POI 7 according to gaze direction 3 and driving direction 4.
机译:本发明提供一种系统和方法,用于将环境和个人背景5结合到驾驶员的凝视方向3和车辆位置2之间的熔断器,以便口头意向分辨率与POI(景点)涉及。我们专注于多模态(语音和凝视)意图解决方案中的多模态(语音和凝视)的问题,了解与POI有关的查询。例如,寻址查询:“这家餐馆的开放时间是什么?”,并解决用户参考哪个餐厅(POI分辨率10)。我们的方法使用环境和个人背景作为是否使用凝视D IRECET或车辆位置以更好地估计POI位置的决策参数。通过提高位置估计,我们也改善了POI的意图解决。系统:使用NLU系统估计语音查询1中的POI 6(例如,“餐厅”)的类型。根据凝视方向3和行驶方向4估计POI 7的位置。

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    《Research Disclosure》 |2020年第675期|878-879|共2页
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