论文标题
物联网智能家庭语音控制的分类分类
Taxonomic Classification of IoT Smart Home Voice Control
论文作者
论文摘要
智能家居中的语音控制很普遍,可以使智能家居互联网,网关和设备的方便控制以及寻求对话的信息。基于云的语音助手用于促进互动,但隐私问题围绕着数据的云分析。使用纯粹的本地计算可以在多大程度上执行语音控制,以确保用户数据保持私密?在本文中,我们介绍了商业智能家庭系统中存在的语音控制技术的分类法。我们首先审查有关该主题的文献,并总结相关的工作,分类房屋中的物联网设备和语音控制。然后介绍了这些实体的分类分类,我们分析了我们的发现。紧随其后的是,我们努力实施和评估语音控制的智能家庭设置,然后讨论适用于设计智能家居和IoT的隐私语音助手的开源库和设备。最后,我们考虑可以支持无云语音助手的其他技术和方法,并结束工作。
Voice control in the smart home is commonplace, enabling the convenient control of smart home Internet of Things hubs, gateways and devices, along with information seeking dialogues. Cloud-based voice assistants are used to facilitate the interaction, yet privacy concerns surround the cloud analysis of data. To what extent can voice control be performed using purely local computation, to ensure user data remains private? In this paper we present a taxonomy of the voice control technologies present in commercial smart home systems. We first review literature on the topic, and summarise relevant work categorising IoT devices and voice control in the home. The taxonomic classification of these entities is then presented, and we analyse our findings. Following on, we turn to academic efforts in implementing and evaluating voice-controlled smart home set-ups, and we then discuss open-source libraries and devices that are applicable to the design of a privacy-preserving voice assistant for smart homes and the IoT. Towards the end, we consider additional technologies and methods that could support a cloud-free voice assistant, and conclude the work.