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具有发声、检测和识别能力的智能、灵活人工喉咙。

Intelligent, Flexible Artificial Throats with Sound Emitting, Detecting, and Recognizing Abilities.

机构信息

School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen 518107, China.

Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510275, China.

出版信息

Sensors (Basel). 2024 Feb 25;24(5):1493. doi: 10.3390/s24051493.

Abstract

In recent years, there has been a notable rise in the number of patients afflicted with laryngeal diseases, including cancer, trauma, and other ailments leading to voice loss. Currently, the market is witnessing a pressing demand for medical and healthcare products designed to assist individuals with voice defects, prompting the invention of the artificial throat (AT). This user-friendly device eliminates the need for complex procedures like phonation reconstruction surgery. Therefore, in this review, we will initially give a careful introduction to the intelligent AT, which can act not only as a sound sensor but also as a thin-film sound emitter. Then, the sensing principle to detect sound will be discussed carefully, including capacitive, piezoelectric, electromagnetic, and piezoresistive components employed in the realm of sound sensing. Following this, the development of thermoacoustic theory and different materials made of sound emitters will also be analyzed. After that, various algorithms utilized by the intelligent AT for speech pattern recognition will be reviewed, including some classical algorithms and neural network algorithms. Finally, the outlook, challenge, and conclusion of the intelligent AT will be stated. The intelligent AT presents clear advantages for patients with voice impairments, demonstrating significant social values.

摘要

近年来,患有喉病的患者数量显著增加,包括癌症、创伤和其他导致声音丧失的疾病。目前,市场对旨在帮助有语音缺陷的人的医疗和保健产品的需求迫切,促使人工喉(AT)的发明。这个用户友好的设备消除了像发音重建手术这样复杂的程序的需要。因此,在这篇综述中,我们将首先仔细介绍智能 AT,它不仅可以作为声音传感器,还可以作为薄膜声音发射器。然后,我们将仔细讨论声音检测的传感原理,包括电容式、压电式、电磁式和压阻式元件在声音传感领域的应用。接下来,还将分析热声理论和不同发声材料的发展。之后,我们将回顾智能 AT 用于语音模式识别的各种算法,包括一些经典算法和神经网络算法。最后,将阐述智能 AT 的展望、挑战和结论。智能 AT 为有语音障碍的患者带来了明显的优势,具有重要的社会价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7417/10935371/a2889f05fe68/sensors-24-01493-g001.jpg

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