Adversarial Privacy Protection on Speech Enhancement
Adversarial Privacy Protection on Speech Enhancement
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Contents
Speech is easily leaked imperceptibly, such as being recorded by mobile phones in different situations. Private content in speech may be maliciously extracted through speech enhancement technology. Speech enhancement technology has developed rapidly along with deep neural networks (DNNs), but adversarial examples can cause DNNs to fail. In this wor...
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Adversarial Privacy Protection on Speech Enhancement
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TN_cdi_proquest_journals_2677954889
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2677954889
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E-ISSN
2331-8422
