深度学习赋权的三电声学织品用于语音感知和服装上的直观的生成AI语音访问
Beibei Shao1,2,3, Tai-Chen Wu4, Zhi-Xian Yan4
1State Key Laboratory of Bioinspired Interfacial Materials Science, Institute of Functional Nano & Soft Materials (FUNSOM) and College of Energy, Soochow Institute of Energy and Material Innovations, Key Laboratory for Advanced Carbon Materials and Wearable Energy Technologies of Jiangsu Province, Soochow University, Suzhou 215006, P. R. China.
Science advances
|October 8, 2025
概括
研究人员开发了一种智能织品,可以使用静电电荷捕获语音命令. 这种AI声学织品 (A-Textile) 能够与像ChatGPT这样的生成AI进行语音交互,以获取信息和完成任务.
科学领域:
- 材料科学 材料科学 材料科学
- 人工智能的人工智能
- 可穿戴技术可穿戴技术
背景情况:
- 生成性AI聊天机器人可以与智能织品集成,用于语音交互.
- 现有的方法缺乏日常服装中不可察觉的和活跃的语音感知能力.
研究的目的:
- 开发一款支持深度学习的 triboelectric AI 声学织品 (A-Textile),用于不可察觉的语音感知和 AI 访问.
- 使日常服装能够通过语音命令获取信息,寻求建议和执行任务.
主要方法:
- 设计了一种多层A-Textile,其复合涂层是3D SnS2纳米花 (NFs) 在中,用于增强电荷捕获和传输.
- 使用了 SnS2 NFs 装饰的碳化织物,用于电荷积累和保存,最大限度地提高电荷密度.
- 采用深度学习 (DL) 模型进行精确的语音命令分类和可视化.
主要成果:
- 实现了21伏输出,1.2V/Pa灵敏度,1Hz分辨率和广泛的声音响应频率范围 (80900Hz).
- 演示精确的语音命令分类和可视化用于物联网 (IoT) 控制和云信息访问.
- 成功地将A-Textile与ChatGPT集成,以实现复杂的AI任务执行.
结论:
- 开发的A-Textile提供了一种创新的方法,通过无形的语音交互将AI功能集成到日常服装中.
- 这项技术为直观的人类-人工智能交互和可穿戴设备的高级功能铺平了道路.
- A-Textile提供了一个无的接口,用于访问生成AI服务,并通过语音命令控制智能设备.
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