Nes2Net深度學習架構發佈，革新語音防僞檢測技術
近日，Nes2Net深度學習模型架構正式開源發佈，成爲語音反欺騙系統領域的重要突破。據AIbase瞭解，Nes2Net專爲語音防僞檢測設計，能夠有效識別語音克隆、邏輯訪問攻擊、假歌聲、假語音及部分語音僞造等多種僞造聲音類型。其在歌唱聲音深度僞造數據集CtrSVDD上的表現尤爲突出，性能比當前最佳基線系統提升22%，後端計算成本降低87%。項目已在GitHub公開，引發了語音安全與AI研究社區的廣泛關注。核心創新:嵌套架構直接處理高維特徵Nes2Net的核心在於其獨特的Nested Res2Net架構，解決了傳統語
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