Remote Speech Reconstruction Based on Convolutional Neural Network and Laser Speckle Images-Reference-Cited by-同舟云学术

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Remote Speech Reconstruction Based on Convolutional Neural Network and Laser Speckle Images

Published:2022-10-09 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
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Author:

Hao Xueying¹,Guo Lianbo²,Zhu Dali³,Wang Xianlan¹,Yang Long³,Zeng Hualin³

Affiliation:

1. Wuhan Research Institute of Posts and Telecommunications,Graduate Department,Hubei,China

2. Huazhong University of Science and Technology,Wuhan National Laboratory for Optoelectronics (WNLO),Hubei,China

3. Institute of Information Engineering,Chinese Academy of Sciences,Beijing,China

Funder

Wuhan National Laboratory for Optoelectronics

Huazhong University of Science and Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9945068/9945069/09945090.pdf?arnumber=9945090

Reference23 articles.

1. Audio signal reconstruction based on adaptively selected seed points from laser speckle images

2. Optical-numerical method based on a convolutional neural network for full-field subpixel displacement measurements

3. Remote speech e traction rom speckle image convolutional neural network;zhu;2020 IEEE Symposium on Computers and Communications (ISCC),2020

4. Imagenet classification with deep convolutional neural networks;krizhevsky;International Conference on Neural Information Processing Systems,2012

5. Volumetric and Multi-view CNNs for Object Classification on 3D Data

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