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.
翻译:智能家的语音控制是司空见惯的, 能够方便地控制智能家用互联网的事物枢纽、 网关和装置的智能家庭互联网, 以及寻求对话的信息。 云基语音助理被用来促进互动, 但是对数据云的分析却存在隐私问题。 使用纯本地的计算, 能够在多大程度上进行语音控制, 以确保用户数据保持隐私? 在本文中, 我们展示了商业智能家系统中的语音控制技术分类 。 我们首先审查关于这个主题的文献, 并总结了相关工作, 将IOT装置和语音控制分类 。 这些实体的分类分类随后被提出, 我们分析我们的调查结果。 接着, 我们转向学术上的努力, 实施和评估语音控制的智能家庭设置, 然后我们讨论用于设计智能家和 IOT 的隐私保护语音助理的开放源图书馆和装置。 最终, 我们考虑能够支持无云语音助理的额外技术和方法, 并完成这项工作 。