Ti3C2Tx Composite Aerogels Enable Pressure Sensors for Dialect Speech Recognition Assisted by Deep Learning

IF 26.6 1区 材料科学 Q1 Engineering
Yanan Xiao, He Li, Tianyi Gu, Xiaoteng Jia, Shixiang Sun, Yong Liu, Bin Wang, He Tian, Peng Sun, Fangmeng Liu, Geyu Lu
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引用次数: 0

Abstract

Highlights

  • Emphasized the innovation in both the material design and methodology between the sensing performance and mechanical properties.

  • The composite aerogel pressure sensors exhibited low hysteresis (13.69%), wide detection range (6.25 Pa-1200 kPa), and cyclic stability to acquire stable and accurate pronunciation signals.

  • Over 6888 and 4158 pronunciation signals were collected by the pressure sensor and utilized for training the convolutional neural network model, allowing for accurate recognition of six dialects (96.2% accuracy) and seven words (96.6% accuracy).

Ti3C2Tx复合气凝胶实现基于深度学习的方言语音识别压力传感器
重点强调了传感性能与机械性能之间在材料设计和方法上的创新。复合气凝胶压力传感器具有低滞后(13.69%)、宽检测范围(6.25 Pa-1200 kPa)和循环稳定性等特点,可获得稳定、准确的语音信号。压力传感器分别采集了6888和4158个语音信号,用于训练卷积神经网络模型,实现了对6种方言(准确率96.2%)和7个单词(准确率96.6%)的准确识别。
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来源期刊
Nano-Micro Letters
Nano-Micro Letters NANOSCIENCE & NANOTECHNOLOGY-MATERIALS SCIENCE, MULTIDISCIPLINARY
CiteScore
32.60
自引率
4.90%
发文量
981
审稿时长
1.1 months
期刊介绍: Nano-Micro Letters is a peer-reviewed, international, interdisciplinary, and open-access journal published under the SpringerOpen brand. Nano-Micro Letters focuses on the science, experiments, engineering, technologies, and applications of nano- or microscale structures and systems in various fields such as physics, chemistry, biology, material science, and pharmacy.It also explores the expanding interfaces between these fields. Nano-Micro Letters particularly emphasizes the bottom-up approach in the length scale from nano to micro. This approach is crucial for achieving industrial applications in nanotechnology, as it involves the assembly, modification, and control of nanostructures on a microscale.
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