Papers by Zhuo Gong

1 papers
Adversarial Speech Generation and Natural Speech Recovery for Speech Content Protection (2022.lrec-1)

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Challenge: Currently, researchers focus on how to protect the speaker's identifiable information, represented as voiceprint, contained in the speech.
Approach: They propose a frame-by-frame adversarial speech generation system to protect speech . they build an adversarials-based method that converts adversarially generated speech to human speech.
Outcome: The proposed method can encode and recover any sensitive audio, and it is easy to be conducted with publicly available speech recognition technology.

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