Tao Liu

1 month ago | nature.com | Tao Liu |Mingyang Zhang |Zhihao Li |Hanjie Dou |Wangyang Zhang |Dongxiao Li | +3 more

The human voice stands out for its rich information transmission capabilities. However, voice communication is susceptible to interference from noisy environments and obstacles. Here, we propose a wearable wireless flexible skin-attached acoustic sensor (SAAS) capable of capturing the vibrations of vocal organs and skin movements, thereby enabling voice recognition and human-machine interaction (HMI) in harsh acoustic environments. This system utilizes a piezoelectric micromachined ultrasonic transducers (PMUT), which feature high sensitivity (-198 dB), wide bandwidth (10 Hz-20 kHz), and excellent flatness (±0.5 dB). Flexible packaging enhances comfort and adaptability during wear, while integration with the Residual Network (ResNet) architecture significantly improves the classification of laryngeal speech features, achieving an accuracy exceeding 96%. Furthermore, we also demonstrated SAAS’s data collection and intelligent classification capabilities in multiple HMI scenarios. Finally, the speech recognition system was able to recognize everyday sentences spoken by participants with an accuracy of 99.8% through a deep learning model. With advantages including a simple fabrication process, stable performance, easy integration, and low cost, SAAS presents a compelling solution for applications in voice control, HMI, and wearable electronics. Voice communication faces challenges from noise and obstructions. Here, the authors present a flexible PMUT-based wearable sensor, focusing on signal capture, noise resistance, and applications in HMI, IoT, and speech disorder assistance.

Dec 29, 2024 | mdpi.com | Tao Liu

Open AccessArticle by Jianliang Wang 1,2,†, Chen Chen 3,†, Jiacheng Wang 1,2, Zhaosheng Yao 1,2, Ying Wang 1,2, Yuanyuan Zhao 1,2, Yi Sun 1,2, Fei Wu 4, Dongwei Han 1,2, Guanshuo Yang 1,2, Xinyu Liu 1,2, Chengming Sun 1,2 and Tao Liu 1,2,* 1 Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Agricultural College of Yangzhou University, Yangzhou 225009, China 2 Jiangsu Co-Innovation Center for Modern Production Technology of Grain...

Dec 10, 2024 | mdpi.com | Haibiao Zhang |Zhen Li |Haijian Liu |Tao Liu

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Dec 9, 2024 | onlinelibrary.wiley.com | Yong Yuan |Qi Wang |Tao Liu |Ltd. Shanghai

1 Introduction The ground penetrating shield tunnel (GPST) method, also known as ultra-rapid under pass (URUP) method, was first developed for underpass tunnel construction in densely populated areas [1]. The GPST method utilizes a tunnel boring machine (TBM) launched from the ground surface, progressively boring at larger embedment depth, coming back up to shallow embedment depth, and finally arriving at the ground level or in a shallow guide-pit.

Dec 9, 2024 | pubs.acs.org | Yuhan Yang |Tao Liu |Jun Ying |Fuze Sun