SPEECH_ENHANCEMENT

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Adversarial Examples Protect Your Privacy on Speech Enhancement System
《Computer Systems Science & Engineering》2023年第7期1-12,共12页Mingyu Dong Diqun Yan Rangding Wang 
This work was supported by the National Natural Science Foundation of China(Grant No.61300055);Zhejiang Natural Science Foundation(Grant No.LY20F020010);Ningbo Science and Technology Innovation Project(Grant No.2022Z075);Ningbo Natural Science Foundation(Grant No.202003N4089);K.C.Wong Magna Fund in Ningbo University.
Speech is easily leaked imperceptibly.When people use their phones,the personal voice assistant is constantly listening and waiting to be activated.Private content in speech may be maliciously extracted through automa...
关键词：Adversarial example speech enhancement privacy protection deep neural network 
Speech Enhancement via Residual Dense Generative Adversarial Network被引量：1
《Computer Systems Science & Engineering》2021年第9期279-289,共11页Lin Zhou Qiuyue Zhong Tianyi Wang Siyuan Lu Hongmei Hu 
This work is supported by the National Key Research and Development Program of China under Grant 2020YFC2004003 and Grant 2020YFC2004002;the National Nature Science Foundation of China(NSFC)under Grant No.61571106。
Generative adversarial networks(GANs)are paid more attention to dealing with the end-to-end speech enhancement in recent years.Various GANbased enhancement methods are presented to improve the quality of reconstructed...
关键词：Generative adversarial networks neural networks residual dense block speech enhancement 
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