提出离线语音识别与物联网结合的智能家居方案，实现无网低延迟控制。
Towards Energy-Efficient and Low-Latency Voice-Controlled Smart Homes: A Proposal for Offline Speech Recognition and IoT Integration
- 在低资源设备上集成离线关键词识别技术，支持本地语音指令理解。
- 设计去中心化的本地物联网网络，提升系统鲁棒性与可扩展性。
- 适合对隐私、延迟敏感或网络不稳定的智能家居场景使用。
基于AI语音识别与物联网技术的智能家居系统可让用户通过语音指令控制设备，提升生活效率。然而，现有语音识别服务主要依赖互联网云端平台，用户发出指令后，设备需经由多个网络节点传输至多台服务器，再返回响应，导致能耗过高、通信延迟明显，并存在单点故障风险。本文提出一种基于离线语音识别与物联网技术的新型智能家居构想：1）将离线关键词识别（KWS）技术集成至资源受限的家用电器中，使其具备本地理解语音指令的能力；2）设计去中心化的本地物联网网络，用于管理与连接各类设备，增强系统鲁棒性与可扩展性。该方案使用户在家中任何位置均可实现无需依赖互联网的低延迟语音控制，同时具备更好的可扩展性与能源可持续性。
原文摘要 · Abstract (English)
The smart home systems, based on AI speech recognition and IoT technology, enable people to control devices through verbal commands and make people's lives more efficient. However, existing AI speech recognition services are primarily deployed on cloud platforms on the Internet. When users issue a command, speech recognition devices like ``Amazon Echo'' will post a recording through numerous network nodes, reach multiple servers, and then receive responses through the Internet. This mechanism presents several issues, including unnecessary energy consumption, communication latency, and the risk of a single-point failure. In this position paper, we propose a smart home concept based on offline speech recognition and IoT technology: 1) integrating offline keyword spotting (KWS) technologies into household appliances with limited resource hardware to enable them to understand user voice commands; 2) designing a local IoT network with decentralized architecture to manage and connect various devices, enhancing the robustness and scalability of the system. This proposal of a smart home based on offline speech recognition and IoT technology will allow users to use low-latency voice control anywhere in the home without depending on the Internet and provide better scalability and energy sustainability.
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