Wang Jianfei, Zhang Hongyu, Wu Xiaomin, Gao Mingyan, Wen He, Zhang Zhibo, Makasheva Kremena, Li Wen Jung, Wang Zuobin
International Research Centre for Nano Handling and Manufacturing of China, Changchun University of Science and Technology, Jilin, 130022, China.
CAS-CityU Joint Laboratory for Robotic Research, Department of Mechanical Engineering, City University of Hong Kong, Kowloon, Hong Kong, 999077, China.
Adv Sci (Weinh). 2025 Sep;12(33):e04343. doi: 10.1002/advs.202504343. Epub 2025 Jun 27.
Hoarseness and dysphonia caused by vocal cord conditions or laryngeal surgeries significantly hinder communication and quality of life. This study presents a plug-and-play humidity-sensing respiratory microphone (HSRM) with generalized features for individual users. Leveraging gold nanoparticle-based humidity sensors integrated into commercially available wearable face masks, the system enables patients to produce verbal communication without relying on vocal cord activity. By integrating nanoparticle-enhanced humidity sensors with advanced convolutional neural networks, the HSRM system accurately decodes respiratory patterns into intelligible speech, achieving a recognition accuracy of 85.61%. Leveraging nanoparticle-polymer interfaces that effectively convert atmospheric humidity fluctuations into precise electrical signals, the system pioneers a contactless and non-invasive paradigm in assistive speech technology. This innovation addresses limitations of existing devices, such as reliance on residual vocal fold vibrations or skin-contact sensors, offering a practical generalized solution for individuals with aphonia. With its potential to facilitate naturalistic communication and transform healthcare applications, the HSRM system sets a new benchmark in wearable assistive technologies for voice rehabilitation and human-machine interaction.
由声带疾病或喉部手术引起的声音嘶哑和发声障碍会严重妨碍交流和生活质量。本研究展示了一种具有通用特性、适用于个体用户的即插即用型湿度感应呼吸麦克风（HSRM）。该系统利用集成在市售可穿戴口罩中的基于金纳米颗粒的湿度传感器，使患者无需依赖声带活动就能进行言语交流。通过将纳米颗粒增强型湿度传感器与先进的卷积神经网络相结合，HSRM系统能将呼吸模式准确解码为可理解的语音，识别准确率达到85.61%。该系统利用纳米颗粒 - 聚合物界面有效地将大气湿度波动转换为精确的电信号，在辅助语音技术领域开创了一种非接触式、无创的模式。这一创新克服了现有设备的局限性，如依赖残余声带振动或皮肤接触传感器等问题，为失音患者提供了一种实用的通用解决方案。凭借其促进自然交流以及变革医疗保健应用的潜力，HSRM系统在用于语音康复和人机交互的可穿戴辅助技术方面树立了新的标杆。
