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一种用于卓越人机语音交互的波约束超球体波束形成声学传感器。

A wave-confining metasphere beamforming acoustic sensor for superior human-machine voice interaction.

作者信息

Ma Kejing, Chen Huyue, Wu Zhiyuan, Hao Xiangling, Yan Ge, Li Wenbo, Shao Lei, Meng Guang, Zhang Wenming

机构信息

State Key Laboratory of Mechanical Systems and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, P. R. China.

University of Michigan-Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University, Shanghai, 200240, P. R. China.

出版信息

Sci Adv. 2022 Sep 30;8(39):eadc9230. doi: 10.1126/sciadv.adc9230. Epub 2022 Sep 28.

DOI:10.1126/sciadv.adc9230
PMID:36170358
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9519046/
Abstract

Highly sensitive, source-tracking acoustic sensing is essential for effective and natural human-machine interaction based on voice. It is a known challenge to omnidirectionally track sound sources under a hypersensitive rate with low noise interference using a compact sensor. Here, we present a unibody acoustic metamaterial spherical shell with equidistant defected piezoelectric cavities, referred to as the metasphere beamforming acoustic sensor (MBAS). It demonstrates a wave-confining capability and low self-noise, simultaneously achieving an outstanding intrinsic signal-to-noise ratio (72 dB) and an ultrahigh sensitivity (137 mV/Pa or -26.3 dBV), with a range spanning the daily phonetic frequencies (0 to 1500 Hz) and omnidirectional beamforming for the perception and spatial filtering of sound sources. Moreover, the MBAS-based auditory system is shown for high-performance audio cloning, source localization, and speech recognition in a noisy environment without any signal enhancement, revealing its promising applications in various voice interaction systems.

摘要

高灵敏度、声源跟踪声学传感对于基于语音的有效且自然的人机交互至关重要。使用紧凑型传感器以低噪声干扰在高灵敏度速率下全向跟踪声源是一个已知的挑战。在此,我们展示了一种具有等距缺陷压电腔的一体式声学超材料球形壳,称为超球波束形成声学传感器(MBAS)。它展示了波限制能力和低自噪声,同时实现了出色的固有信噪比(72 dB)和超高灵敏度(137 mV/Pa或 -26.3 dBV),其范围跨越日常语音频率(0至1500 Hz),并具有用于声源感知和空间滤波的全向波束形成。此外,基于MBAS的听觉系统被展示用于高性能音频克隆、声源定位以及在无任何信号增强的嘈杂环境中的语音识别,揭示了其在各种语音交互系统中的广阔应用前景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80f4/9519046/55a4a11fb540/sciadv.adc9230-f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80f4/9519046/027a9a5d998e/sciadv.adc9230-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80f4/9519046/c9972db1f9db/sciadv.adc9230-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80f4/9519046/a0f8dcbc966c/sciadv.adc9230-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80f4/9519046/ca2d15e92ef9/sciadv.adc9230-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80f4/9519046/8e9b52af2a86/sciadv.adc9230-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80f4/9519046/55a4a11fb540/sciadv.adc9230-f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80f4/9519046/027a9a5d998e/sciadv.adc9230-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80f4/9519046/c9972db1f9db/sciadv.adc9230-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80f4/9519046/a0f8dcbc966c/sciadv.adc9230-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80f4/9519046/ca2d15e92ef9/sciadv.adc9230-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80f4/9519046/8e9b52af2a86/sciadv.adc9230-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80f4/9519046/55a4a11fb540/sciadv.adc9230-f6.jpg

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