浙大與清華聯合出品！語音僞造檢測框架 SafeEar，錯誤率低至2.02%
在當今快速語音合成轉換技術背景下，語音僞造日益嚴重，用戶隱私和社會安全帶來了不小的威脅。近日，浙江大學智能系統安全實驗室和清大學聯合發佈了一種新型的語音僞造檢測框架，名爲 “SafeEar”。這一框架致力於在保護語音內容隱私的同時，實現高效的僞造檢測，充分應對語音合成帶來的。SafeEar 的思想是通過設計基於神經音頻編解碼器的解耦模型，巧妙地將語音的聲學與語義信息分離。這意味着，SafeEar 僅依賴聲學信息進行僞造檢測，而無需接觸音的完整內容，這樣就能有效防
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