基于气泡诱导的多孔结构的灵活的压缩型传感器用于语音识别
Xiaoguang Gao1, Lin Yuan1, Chengzhen Xue1
1Institute of Biomedical Precision Testing and Instrumentation, College of Biomedical Engineering, Taiyuan University of Technology, Taiyuan 030024, China.
ACS applied materials & interfaces
|February 12, 2024
概括
这项研究引入了一种高度敏感,易于准备的多孔型压电阻传感器,用于语音识别. 灵活的传感器表现出卓越的性能和稳定性,为先进的人机界面铺平了道路.
科学领域:
- 材料科学 材料科学 材料科学
- 传感器技术 传感器技术
- 生物医学工程 生物医学工程
背景情况:
- 灵活的压力阻抗传感器对于语音识别应用至关重要.
- 现有的传感器往往缺乏高灵敏度或涉及复杂的准备方法.
- 需要先进的传感器,既敏感又易于制造.
研究的目的:
- 开发一款用于语音识别的新型多孔柔性压电阻传感器.
- 为了实现高灵敏度和简单的制备过程.
- 为了评估传感器在现实世界语音识别任务中的性能.
主要方法:
- 使用聚甲基 (PDMS) 通过乙醇蒸发和活性剂制造一个多孔的柔性基板.
- 传感器属性的描述,包括灵敏度,响应时间和稳定性.
- 传感器与用于语音信号处理的卷积神经网络 (CNN) 的集成.
主要成果:
- 传感器表现出高灵敏度 (27.6 kPa-1),快速响应时间 (800 μs) 和出色的稳定性 (10,000 个周期).
- 使用超过1500个发音和无声语音信号,实现了94.8%的语音识别精度.
- 制备方法避免了模板和恶劣的实验条件.
结论:
- 开发的多孔灵活的压力复杂传感器为语音识别提供了一个有前途的解决方案.
- 其简单的制造和卓越的性能表明其广泛的应用潜力.
- 这项技术可以通过改进的语音接口显著提升人机交互.
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