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\u5bfc\u8bfb<\/td>\nAI \u6362\u8138\u4f59\u6ce2\u672a\u892a\uff0cAI \u6362\u58f0\u8fdb\u884c\u7535\u8bdd\u8bc8\u9a97\u7684\u620f\u7801\u7adf\u4e5f\u6210\u771f\u4e86!\u4e0d\u5f97\u4e0d\u8bf4\uff0c\u73b0\u5728\u786e\u5b9e\u5df2\u7ecf\u5f88\u96be\u533a\u5206\u51fa\u5229\u7528\u6df1\u5ea6\u4f2a\u9020 (deep fake) \u6280\u672f\u5236\u4f5c\u7684\u5047\u6587\u672c\u3001\u5047\u89c6\u9891\u3002\u800c\u8fd1\u65e5\uff0c\u8fd9\u79cd\u73b0\u8c61\u4f3c\u4e4e\u53c8\u5ef6\u4f38\u5230\u4e86\u5047\u8bed\u97f3\u9886\u57df\u2014\u2014\u4e00\u5bb6\u516c\u53f8\u5c31\u56e0\u4e3a\u8fd1\u671f\u53d1\u751f\u7684\u4e00\u8d77\u8bed\u97f3\u6b3a\u8bc8\u6848\u4ef6\u635f\u5931\u4e86 20 \u4e07\u82f1\u9551(\u5408\u7ea6 24.3 \u4e07\u7f8e\u5143)\u3002<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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\n\u7531\u4e8e\u786e\u4fe1\u7535\u8bdd\u90a3\u5934\u662f\u8001\u677f\u7684\u58f0\u97f3\uff0c\u6240\u4ee5\u8be5\u8d1f\u8d23\u4eba\u5c31\u6309\u8981\u6c42\u5c06\u6b3e\u9879\u6253\u7ed9\u4e86\u5308\u7259\u5229\u4f9b\u5e94\u5546\u3002\u7136\u800c\u4e8b\u5b9e\u4e0a\uff0c\u8fd9\u7b14\u6c47\u6b3e\u4e0d\u4ec5\u6ca1\u6709\u5f97\u5230\u62a5\u9500\uff0c\u800c\u4e14\u8bc8\u9a97\u8005\u53c8\u7ee7\u7eed\u5192\u5145\u8fd9\u4f4d\u5fb7\u56fd\u8001\u677f\u8981\u6c42\u53e6\u4e00\u7b14\u7d27\u6025\u6c47\u6b3e\u3002
\n\u4e0d\u8fc7\u8fd9\u6b21\uff0c\u8be5\u9ad8\u7ba1\u6ce8\u610f\u5230\u6765\u7535\u663e\u793a\u5730\u70b9\u662f\u5965\u5730\u5229\uff0c\u5e76\u62d2\u7edd\u4e86\u4ed8\u6b3e\u8bf7\u6c42\uff0c\u968f\u540e\u4fbf\u5bf9\u8be5\u4e8b\u4ef6\u5c55\u5f00\u4e86\u8c03\u67e5\u3002
\n\u636e\u300a\u534e\u5c14\u8857\u65e5\u62a5\u300b\u62a5\u9053\uff0c\u8fd9\u4f4d\u82f1\u56fd CEO \u8f6c\u7ed9\u6240\u8c13\u7684\u5308\u7259\u5229\u4f9b\u5e94\u5546\u7684\u8fd9\u7b14\u94b1\u6700\u7ec8\u88ab\u8f6c\u79fb\u5230\u4e86\u58a8\u897f\u54e5\u53ca\u5176\u4ed6\u5730\u65b9\u3002\u8be5\u6848\u4ef6\u76ee\u524d\u5c1a\u5728\u8c03\u67e5\u4e4b\u4e2d\uff0c\u4f46\u6b64\u6b21\u7f51\u7edc\u72af\u7f6a\u80cc\u540e\u7684\u7f6a\u72af\u8eab\u4efd\u5c1a\u672a\u67e5\u660e\u3002
\n\u201c\u8bed\u97f3\u7f51\u7edc\u9493\u9c7c\u201d(voice phishing\uff0c\u7b80\u79f0vishing)\u653b\u51fb\u5e76\u4e0d\u65b0\u9c9c\uff0c\u4f46\u6b64\u6b21\u4e8b\u4ef6\u53ef\u80fd\u662f\u7f51\u7edc\u72af\u7f6a\u5206\u5b50\u5229\u7528 AI \u8fdb\u884c\u8bed\u97f3\u6b3a\u8bc8\u653b\u51fb\u7684\u7b2c\u4e00\u4e2a\u6848\u4f8b\u3002\u91d1\u878d\u670d\u52a1\u516c\u53f8 Euler Hermes \u7684\u6b3a\u8bc8\u4e13\u5bb6 R\u00fcdiger Kirsch \u8868\u793a\uff0cEuler Hermes \u6700\u7ec8\u627f\u62c5\u4e86\u53d7\u5bb3\u516c\u53f8\u7d22\u8d54\u7684\u5168\u90e8\u91d1\u989d\uff0c\u800c\u8be5\u4fdd\u9669\u516c\u53f8\u4e4b\u524d\u5e76\u6ca1\u6709\u5904\u7406\u8fc7\u5176\u4ed6\u8981\u6c42\u8ffd\u56de\u6d89\u53ca\u4eba\u5de5\u667a\u80fd\u72af\u7f6a\u7684\u635f\u5931\u7684\u7d22\u8d54\u6848\u4ef6\u3002
\nESET \u7684\u7f51\u7edc\u5b89\u5168\u4e13\u5bb6 Jake Moore \u9884\u6d4b\u79f0\uff0c\u4e0d\u4e45\u7684\u5c06\u6765\uff0c\u6211\u4eec\u4f1a\u770b\u5230\u5229\u7528\u673a\u5668\u5b66\u4e60\u7684\u7f51\u7edc\u72af\u7f6a\u5927\u5e45\u589e\u52a0\u3002\u6211\u4eec\u5df2\u7ecf\u770b\u5230\u6df1\u5ea6\u4f2a\u9020\u6280\u672f\u4f7f\u7528\u89c6\u9891\u683c\u5f0f\u6a21\u4eff\u540d\u4eba\u548c\u516c\u4f17\u4eba\u7269\uff0c\u4f46\u5236\u4f5c\u8fd9\u4e9b\u903c\u771f\u7684\u955c\u5934\u8981\u82b1 17 \u4e2a\u5c0f\u65f6\u5de6\u53f3\u3002\u80fd\u591f\u4f2a\u9020\u58f0\u97f3\u9700\u8981\u8f83\u5c11\u7684\u5f55\u97f3\u5373\u53ef\u5236\u4f5c\u5b8c\u6210\u3002\u968f\u7740\u8ba1\u7b97\u80fd\u529b\u4e0d\u65ad\u63d0\u9ad8\uff0c\u6211\u4eec\u5f00\u59cb\u770b\u5230\u8fd9\u4e9b\u53d8\u5f97\u66f4\u5bb9\u6613\u5236\u4f5c\uff0c\u672a\u6765\u5f62\u52bf\u4ee4\u4eba\u4e0d\u5b89\u3002
\n\u4e3a\u4e86\u964d\u4f4e\u98ce\u9669\uff0c\u4e0d\u4ec5\u6709\u5fc5\u8981\u8ba9\u4eba\u4eec\u610f\u8bc6\u5230\u8fd9\u79cd\u6a21\u4eff\u73b0\u5728\u53ef\u4ee5\u5b9e\u73b0\uff0c\u8fd8\u6709\u5fc5\u8981\u5728\u8f6c\u8d26\u524d\u52a0\u5165\u9a8c\u8bc1\u6280\u672f\u3002\u53cc\u56e0\u7d20\u8eab\u4efd\u9a8c\u8bc1\u662f\u53e6\u4e00\u79cd\u6709\u6548\u3001\u5ec9\u4ef7\u4e14\u7b80\u5355\u7684\u6280\u672f\uff0c\u5b83\u589e\u6dfb\u4e86\u53e6\u4e00\u5c42\u5b89\u5168\u6027\uff0c\u53ef\u4ee5\u4fdd\u62a4\u6253\u7ed9\u6d41\u6c13\u8d26\u6237\u7684\u8d44\u91d1\u5b89\u5168\u3002\u88ab\u8981\u6c42\u8f6c\u8d26\u65f6\uff0c\u5c24\u5176\u662f\u5927\u7b14\u91d1\u989d\uff0c\u8bf7\u52a1\u5fc5\u6838\u67e5\u7535\u8bdd\u53f7\u7801\u5e76\u8981\u6c42\u56de\u7535\u3002\u4f7f\u7528\u4f60\u5730\u5740\u7c3f\u4e2d\u7684\u53f7\u7801\uff0c\u800c\u4e0d\u662f\u70b9\u51fb\u901a\u8bdd\u8bb0\u5f55\u4e2d\u7684 \u201c\u56de\u7535\u201d \u9009\u9879\u3002
\n\u5728\u53bb\u5e74\u53d1\u5e03\u7684\u4e00\u4efd\u62a5\u544a\u4e2d\uff0cPindrop(\u4e00\u5bb6\u4e3a\u547c\u53eb\u4e2d\u5fc3\u5f00\u53d1\u5b89\u5168\u8f6f\u4ef6\u548c\u534f\u8bae\u7684\u516c\u53f8)\u53d1\u73b0\uff0c\u8bed\u97f3\u76f8\u5173\u7684\u6b3a\u8bc8\u6848\u4ef6\u2014\u2014\u4e3b\u8981\u5f71\u54cd\u94f6\u884c\u3001\u4fe1\u7528\u5408\u4f5c\u793e\u3001\u57fa\u91d1\u516c\u53f8\u3001\u4fdd\u9669\u516c\u53f8\u4ee5\u53ca\u94f6\u884c\u5361\u53d1\u884c\u673a\u6784\u2014\u2014\u5728 2013 \u5e74\u81f3 2017 \u5e74\u7684\u56db\u5e74\u95f4\u589e\u957f\u4e86 350% \u4ee5\u4e0a\u3002
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\n2017 \u5e74\uff0c\u4e1c\u82ac\u5170\u5927\u5b66 (University of Eastern Finland) \u7684\u7814\u7a76\u4eba\u5458\u8fdb\u884c\u7684\u4e00\u9879\u7814\u7a76\u8b66\u544a\u79f0\uff0c\u88ab\u5404\u79cd\u7ec4\u7ec7\u7528\u4f5c\u751f\u7269\u8bc6\u522b\u8eab\u4efd\u9a8c\u8bc1\u65b9\u5f0f\u7684\u8bed\u97f3\u8bc6\u522b\u7cfb\u7edf\u975e\u5e38\u5bb9\u6613\u88ab\u6a21\u4eff\u8005\u6b3a\u9a97\u3002
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\n\u8c37\u6b4c\u4e5f\u53d1\u8868\u8fc7\u4e00\u7bc7\u9898\u4e3a\u300aTransfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis\u300b (SV2TTS) \u7684\u8bba\u6587\uff0c\u63cf\u8ff0\u4e86\u4e00\u79cd\u7528\u4e8e\u6587\u672c\u5230\u8bed\u97f3 (TTS) \u5408\u6210\u7684\u57fa\u4e8e\u795e\u7ecf\u7f51\u7edc\u7684\u7cfb\u7edf\uff0c\u8be5\u7cfb\u7edf\u80fd\u591f\u4ee5\u8bb8\u591a\u4e0d\u540c\u53d1\u8a00\u8005\u7684\u58f0\u97f3\u4ea7\u751f\u8bed\u97f3\u97f3\u9891\u3002
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