{"id":5697,"date":"2026-10-25T11:12:54","date_gmt":"2026-10-25T03:12:54","guid":{"rendered":"https:\/\/www.15zhi.net\/blog\/?p=5697"},"modified":"2026-10-25T11:12:54","modified_gmt":"2026-10-25T03:12:54","slug":"202610-%e8%ae%ba%e6%96%87%e7%a0%94%e8%af%bb-let-there-be-sound-reconstructing-high-quality-speech-from-silent-videos","status":"publish","type":"post","link":"https:\/\/www.15zhi.net\/blog\/202610-%e8%ae%ba%e6%96%87%e7%a0%94%e8%af%bb-let-there-be-sound-reconstructing-high-quality-speech-from-silent-videos\/","title":{"rendered":"202610 \u8bba\u6587\u7814\u8bfb–Let There Be Sound: Reconstructing High Quality Speech from Silent Videos"},"content":{"rendered":"\n

\u4f5c\u8005\uff1a<\/strong>Ji-Hoon Kim\uff0cJaehun Kim\uff0cJoon Son Chung<\/p>\n\n\n\n

\u5355\u4f4d\uff1a<\/strong>Korea Advanced Institute of Science and Technology\uff08KAIST\uff09<\/p>\n\n\n\n

\u6765\u6e90\uff1a<\/strong>AAAI Conference on Artificial Intelligence\uff08AAAI 2024\uff09<\/p>\n\n\n\n

\u8bba\u6587\u94fe\u63a5\uff1a<\/strong>https:\/\/doi.org\/10.1609\/aaai.v38i3.28055<\/a><\/p>\n\n\n\n

1. \u80cc\u666f<\/h2>\n\n\n\n

\u5507\u8bed\u751f\u6210\uff08Lip-to-Speech\uff0cLTS\uff09\u7684\u76ee\u6807\u662f\u4ece\u6ca1\u6709\u58f0\u97f3\u7684\u4eba\u8138\u89c6\u9891\u4e2d\u6062\u590d\u5bf9\u5e94\u8bed\u97f3\u3002\u5b83\u53ef\u4ee5\u7528\u4e8e\u4fee\u590d\u5386\u53f2\u65e0\u58f0\u5f71\u50cf\u3001\u4e3a\u5931\u8bed\u4eba\u7fa4\u751f\u6210\u81ea\u7136\u8bed\u97f3\uff0c\u4e5f\u53ef\u4ee5\u8f85\u52a9\u7406\u89e3\u8fdc\u8ddd\u79bb\u62cd\u6444\u4f46\u6ca1\u6709\u6e05\u6670\u5f55\u97f3\u7684\u5bf9\u8bdd\u3002<\/p>\n\n\n\n

\u8fd9\u9879\u4efb\u52a1\u7684\u6838\u5fc3\u56f0\u96be\u5e76\u4e0d\u53ea\u662f\u201c\u4ece\u56fe\u50cf\u751f\u6210\u58f0\u97f3\u201d\uff0c\u800c\u662f\u5507\u90e8\u8fd0\u52a8\u4e0e\u8bed\u97f3\u4e4b\u95f4\u5b58\u5728\u5929\u7136\u7684\u4e00\u5bf9\u591a\u6620\u5c04\u3002<\/p>\n\n\n\n

    \n
  1. \u540c\u5507\u5f02\u97f3\uff1a<\/strong>\u4e0d\u540c\u97f3\u7d20\u53ef\u80fd\u5448\u73b0\u51e0\u4e4e\u76f8\u540c\u7684\u5507\u5f62\u3002\u4f8b\u5982\uff0c\u201cbit\u201d\u548c\u201cpit\u201d\u7684\u5507\u90e8\u8fd0\u52a8\u5341\u5206\u63a5\u8fd1\uff0c\u4ec5\u4f9d\u8d56\u89c6\u89c9\u4fe1\u606f\u5bb9\u6613\u4ea7\u751f\u9519\u8bfb\u3002<\/li>\n\n\n\n
  2. \u8bed\u97f3\u53d8\u5316\uff1a<\/strong>\u76f8\u540c\u7684\u8bed\u97f3\u5185\u5bb9\u53ef\u4ee5\u5177\u6709\u4e0d\u540c\u7684\u97f3\u8272\u3001\u97f3\u9ad8\u3001\u80fd\u91cf\u548c\u8bed\u8c03\u3002\u4f20\u7edf\u6a21\u578b\u76f4\u63a5\u56de\u5f52 Mel \u9891\u8c31\uff0c\u5bb9\u6613\u628a\u591a\u79cd\u53ef\u80fd\u7684\u8bed\u97f3\u5e73\u5747\u5316\uff0c\u4ea7\u751f\u6a21\u7cca\u3001\u8fc7\u5ea6\u5e73\u6ed1\u7684\u7ed3\u679c\u3002<\/li>\n<\/ol>\n\n\n\n

    \u5df2\u6709\u65b9\u6cd5\u901a\u5e38\u91c7\u7528 Mel \u9891\u8c31\u4f5c\u4e3a\u9884\u6d4b\u76ee\u6807\uff0c\u4f46\u6ca1\u6709\u5145\u5206\u89e3\u51b3\u4e0a\u8ff0\u4e24\u7c7b\u4e0d\u786e\u5b9a\u6027\u3002\u90e8\u5206\u5de5\u4f5c\u5f15\u5165\u6587\u672c\u76d1\u7763\u6539\u5584\u53d1\u97f3\uff0c\u5374\u9700\u8981\u989d\u5916\u7684\u4eba\u5de5\u8f6c\u5f55\u3002\u672c\u6587\u5e0c\u671b\u5728\u4e0d\u4f9d\u8d56\u6587\u672c\u6807\u6ce8\u7684\u6761\u4ef6\u4e0b\uff0c\u540c\u65f6\u63d0\u9ad8\u751f\u6210\u8bed\u97f3\u7684\u53ef\u61c2\u5ea6\u548c\u81ea\u7136\u5ea6\u3002<\/p>\n\n\n\n

    2. \u4e3b\u8981\u8d21\u732e<\/h2>\n\n\n\n
      \n
    1. \u5229\u7528\u81ea\u76d1\u7763\u8bed\u97f3\u8868\u793a\u63d0\u4f9b\u8bed\u8a00\u76d1\u7763\u3002<\/strong>\u4f5c\u8005\u4ece HuBERT \u4e2d\u63d0\u53d6\u4e0e\u97f3\u7d20\u76f8\u5173\u7684\u79bb\u6563\u8bed\u8a00\u5355\u5143\uff0c\u8ba9\u89c6\u89c9\u7f51\u7edc\u5b66\u4e60\u4ece\u5507\u5f62\u9884\u6d4b\u8bed\u8a00\u5185\u5bb9\uff0c\u4ece\u800c\u7f13\u89e3\u540c\u5507\u5f02\u97f3\u95ee\u9898\u3002<\/li>\n\n\n\n
    2. \u663e\u5f0f\u9884\u6d4b\u97f3\u9ad8\u548c\u80fd\u91cf\u3002<\/strong>\u6a21\u578b\u5c06\u97f3\u9ad8\u4e0e\u80fd\u91cf\u4f5c\u4e3a\u58f0\u5b66\u65b9\u5dee\u4fe1\u606f\u6ce8\u5165\u89e3\u7801\u8fc7\u7a0b\uff0c\u51cf\u5c11\u89c6\u89c9\u5230\u8bed\u97f3\u6620\u5c04\u7684\u4e0d\u786e\u5b9a\u6027\uff0c\u5e76\u589e\u5f3a\u97f5\u5f8b\u8868\u73b0\u3002<\/li>\n\n\n\n
    3. \u4f7f\u7528 Flow-based Post-Net \u7ec6\u5316\u9891\u8c31\u3002<\/strong>\u6d41\u6a21\u578b\u5b66\u4e60\u590d\u6742\u7684\u58f0\u5b66\u5206\u5e03\uff0c\u6062\u590d\u666e\u901a L1\/L2 \u56de\u5f52\u5bb9\u6613\u4e22\u5931\u7684\u8c10\u6ce2\u548c\u9ad8\u9891\u7ec6\u8282\u3002<\/li>\n\n\n\n
    4. \u5728\u53d7\u63a7\u4e0e\u975e\u53d7\u63a7\u6570\u636e\u96c6\u4e0a\u9a8c\u8bc1\u6548\u679c\u3002<\/strong>\u6a21\u578b\u5728 GRID \u548c Lip2Wav \u4e0a\u5747\u8d85\u8fc7\u73b0\u6709\u65b9\u6cd5\uff0c\u751f\u6210\u8bed\u97f3\u7684\u4e3b\u89c2\u81ea\u7136\u5ea6\u3001\u53ef\u61c2\u5ea6\u53ca\u8bc6\u522b\u9519\u8bef\u7387\u5f97\u5230\u660e\u663e\u6539\u5584\u3002<\/li>\n<\/ol>\n\n\n\n

      3. \u65b9\u6cd5<\/h2>\n\n\n\n
      \"\"<\/figure>\n\n\n\n

      \u6a21\u578b\u7531\u89c6\u9891\u7f16\u7801\u5668\u3001\u65b9\u5dee\u89e3\u7801\u5668\u548c Flow Post-Net \u4e09\u90e8\u5206\u7ec4\u6210\u3002\u89c6\u9891\u7f16\u7801\u5668\u4ece\u9759\u97f3\u4eba\u8138\u89c6\u9891\u4e2d\u63d0\u53d6\u89c6\u89c9\u7279\u5f81\uff1b\u65b9\u5dee\u89e3\u7801\u5668\u7ed3\u5408\u8bed\u8a00\u3001\u97f3\u9ad8\u548c\u80fd\u91cf\u4fe1\u606f\u751f\u6210\u7c97\u7c92\u5ea6 Mel \u9891\u8c31\uff1bFlow Post-Net \u8fdb\u4e00\u6b65\u6062\u590d\u9891\u8c31\u7ec6\u8282\u3002\u6700\u540e\uff0c\u9884\u8bad\u7ec3 Fre-GAN \u5c06 Mel \u9891\u8c31\u8f6c\u6362\u4e3a 16 kHz \u8bed\u97f3\u6ce2\u5f62\u3002<\/p>\n\n\n\n

      3.1 \u89c6\u9891\u7f16\u7801\u5668<\/h3>\n\n\n\n

      \u89c6\u9891\u7f16\u7801\u5668\u7531 3D \u5377\u79ef\u3001ResNet18 \u548c Conformer \u7f16\u7801\u5668\u7ec4\u6210\u30023D \u5377\u79ef\u4e0e ResNet18 \u63d0\u53d6\u76f8\u90bb\u89c6\u9891\u5e27\u4e2d\u7684\u5c40\u90e8\u53e3\u578b\u53d8\u5316\uff0cConformer \u8fdb\u4e00\u6b65\u5efa\u6a21\u957f\u65f6\u95f4\u4f9d\u8d56\u3002\u6a21\u578b\u8fd8\u901a\u8fc7\u8bf4\u8bdd\u4eba\u5d4c\u5165\u8868\u793a\u4e0d\u540c\u4e2a\u4f53\u7684\u89c6\u89c9\u548c\u58f0\u97f3\u7279\u5f81\u3002<\/p>\n\n\n\n

      3.2 \u81ea\u76d1\u7763\u8bed\u8a00\u9884\u6d4b\u5668<\/h3>\n\n\n\n

      \u4f5c\u8005\u9996\u5148\u4f7f\u7528\u9884\u8bad\u7ec3 HuBERT-LARGE \u4ece\u8bad\u7ec3\u97f3\u9891\u4e2d\u63d0\u53d6\u8fde\u7eed\u8bed\u97f3\u8868\u793a\uff0c\u518d\u7528 K-means \u5c06\u8868\u793a\u91cf\u5316\u4e3a\u79bb\u6563\u8bed\u8a00\u5355\u5143\u3002\u5b9e\u9a8c\u6bd4\u8f83\u4e86 HuBERT \u7b2c 1\u300112 \u548c 24 \u5c42\uff0c\u4ee5\u53ca 100\u3001200 \u4e2a\u805a\u7c7b\u4e2d\u5fc3\u3002\u7b2c 12 \u5c42\u914d\u5408 200 \u4e2a\u805a\u7c7b\u4e2d\u5fc3\u53d6\u5f97\u6700\u4f4e\u7684\u97f3\u7d20\u9519\u8bef\u7387\u548c\u5b57\u7b26\u9519\u8bef\u7387\uff0c\u56e0\u6b64\u6210\u4e3a\u6700\u7ec8\u914d\u7f6e\u3002<\/p>\n\n\n\n

      \u8bad\u7ec3\u9636\u6bb5\uff0c\u8bed\u8a00\u9884\u6d4b\u5668\u6839\u636e\u89c6\u9891\u7279\u5f81\u9884\u6d4b\u6bcf\u4e2a\u65f6\u95f4\u6b65\u7684\u79bb\u6563\u8bed\u8a00\u5355\u5143\uff0c\u5e76\u4f7f\u7528\u4ea4\u53c9\u71b5\u635f\u5931\u8fdb\u884c\u4f18\u5316\u3002\u8fd9\u6837\uff0c\u6a21\u578b\u4e0d\u9700\u8981\u4eba\u5de5\u6587\u672c\u8f6c\u5f55\uff0c\u4e5f\u80fd\u83b7\u5f97\u4e0e\u53d1\u97f3\u76f8\u5173\u7684\u76d1\u7763\u4fe1\u606f\u3002<\/p>\n\n\n\n

      3.3 \u97f3\u9ad8\u4e0e\u80fd\u91cf\u9884\u6d4b<\/h3>\n\n\n\n

      \u97f3\u9ad8\u9884\u6d4b\u5668\u4f7f\u7528 pYIN \u4ece\u771f\u5b9e\u8bed\u97f3\u4e2d\u63d0\u53d6\u57fa\u9891\u5e8f\u5217\uff0c\u5e76\u901a\u8fc7 L1 \u635f\u5931\u5b66\u4e60\u4ece\u89c6\u89c9\u7279\u5f81\u4f30\u8ba1\u97f3\u9ad8\u3002\u80fd\u91cf\u9884\u6d4b\u5668\u628a Mel \u9891\u8c31\u6cbf\u9891\u7387\u8f74\u7684 L2 \u8303\u6570\u4f5c\u4e3a\u76ee\u6807\uff0c\u540c\u6837\u4f7f\u7528 L1 \u635f\u5931\u8bad\u7ec3\u3002<\/p>\n\n\n\n

      \u8bed\u8a00\u5355\u5143\u901a\u8fc7\u5d4c\u5165\u8868\u8f6c\u6362\u4e3a\u5411\u91cf\uff0c\u97f3\u9ad8\u548c\u80fd\u91cf\u5219\u901a\u8fc7\u4e00\u7ef4\u5377\u79ef\u7f16\u7801\u3002\u4e09\u7c7b\u8868\u793a\u4e0e\u89c6\u89c9\u7279\u5f81\u76f8\u52a0\uff0c\u518d\u9001\u5165 Conformer \u89e3\u7801\u5668\u751f\u6210\u7c97\u7c92\u5ea6 Mel \u9891\u8c31\u3002\u663e\u5f0f\u63d0\u4f9b\u8fd9\u4e9b\u6761\u4ef6\uff0c\u53ef\u4ee5\u7b80\u5316\u76ee\u6807\u58f0\u5b66\u5206\u5e03\uff0c\u51cf\u5c11\u4e00\u5bf9\u591a\u6620\u5c04\u5e26\u6765\u7684\u6a21\u7cca\u3002<\/p>\n\n\n\n

      3.4 Flow Post-Net \u4e0e\u58f0\u7801\u5668<\/h3>\n\n\n\n

      \u5355\u7eaf\u4f9d\u8d56 L1 \u6216 L2 \u91cd\u5efa\u635f\u5931\u65f6\uff0c\u6a21\u578b\u503e\u5411\u4e8e\u751f\u6210\u591a\u79cd\u53ef\u80fd\u7ed3\u679c\u7684\u5e73\u5747\u503c\uff0c\u9891\u8c31\u4f1a\u51fa\u73b0\u8fc7\u5ea6\u5e73\u6ed1\u3002\u672c\u6587\u91c7\u7528\u6761\u4ef6\u53ef\u9006\u6d41\u7f51\u7edc\u5b66\u4e60\u771f\u5b9e Mel \u9891\u8c31\u7684\u6982\u7387\u5206\u5e03\u3002\u8bad\u7ec3\u65f6\uff0c\u7f51\u7edc\u628a\u771f\u5b9e\u9891\u8c31\u6620\u5c04\u5230\u9ad8\u65af\u5148\u9a8c\u5e76\u6700\u5c0f\u5316\u8d1f\u5bf9\u6570\u4f3c\u7136\uff1b\u63a8\u7406\u65f6\uff0c\u4ece\u5148\u9a8c\u5206\u5e03\u91c7\u6837\u5e76\u901a\u8fc7\u9006\u5411\u6d41\u751f\u6210\u7ec6\u7c92\u5ea6\u9891\u8c31\u3002<\/p>\n\n\n\n

      \u6700\u7ec8\u7684 Mel \u9891\u8c31\u7531 Fre-GAN \u8f6c\u6362\u4e3a\u6ce2\u5f62\u3002\u4e0e\u90e8\u5206\u65e9\u671f\u5de5\u4f5c\u91c7\u7528\u7684 Griffin-Lim \u76f8\u6bd4\uff0cFre-GAN \u80fd\u66f4\u597d\u5730\u4fdd\u6301\u9891\u7387\u4e00\u81f4\u6027\u3002<\/p>\n\n\n\n

      4. \u5b9e\u9a8c<\/h2>\n\n\n\n

      4.1 \u6570\u636e\u96c6\u4e0e\u8bc4\u4ef7\u6307\u6807<\/h3>\n\n\n\n
        \n
      • GRID\uff1a<\/strong>\u5305\u542b 33 \u540d\u8bf4\u8bdd\u4eba\uff0c\u6bcf\u4eba\u7ea6 50 \u5206\u949f\u89c6\u9891\uff0c\u8bcd\u6c47\u91cf\u6709\u9650\uff0c\u4eba\u7269\u57fa\u672c\u4fdd\u6301\u6b63\u9762\u59ff\u6001\uff0c\u5c5e\u4e8e\u53d7\u63a7\u573a\u666f\u3002<\/li>\n\n\n\n
      • Lip2Wav\uff1a<\/strong>\u6765\u81ea\u771f\u5b9e\u6f14\u8bb2\u89c6\u9891\uff0c\u8bcd\u6c47\u91cf\u66f4\u5927\uff0c\u4eba\u7269\u59ff\u6001\u548c\u62cd\u6444\u6761\u4ef6\u66f4\u590d\u6742\u3002\u8bba\u6587\u4f7f\u7528 Chemistry \u548c Chess \u4e24\u540d\u8bf4\u8bdd\u4eba\u7684\u6570\u636e\u3002<\/li>\n<\/ul>\n\n\n\n

        \u4e3b\u89c2\u8bc4\u4ef7\u91c7\u7528\u81ea\u7136\u5ea6\u548c\u53ef\u61c2\u5ea6 MOS\uff0c\u7531 30 \u540d\u9886\u57df\u4e13\u5bb6\u5bf9\u968f\u673a\u8bed\u97f3\u7247\u6bb5\u6253\u5206\u3002\u5ba2\u89c2\u8bc4\u4ef7\u4f7f\u7528\u81ea\u52a8\u8bed\u97f3\u8bc6\u522b\u7ed3\u679c\u8ba1\u7b97\u8bcd\u9519\u8bef\u7387\uff08WER\uff09\u548c\u5b57\u7b26\u9519\u8bef\u7387\uff08CER\uff09\u3002<\/p>\n\n\n\n

        4.2 \u4e3b\u8981\u7ed3\u679c<\/h3>\n\n\n\n
        \n
        \"\"<\/figure>\n<\/figure>\n\n\n\n

        \u5728 GRID \u4e0a\uff0c\u672c\u6587\u65b9\u6cd5\u7684\u81ea\u7136\u5ea6 MOS \u4e3a 4.46\uff0c\u53ef\u61c2\u5ea6 MOS \u4e3a 4.63\uff0c\u5206\u522b\u53ea\u6bd4\u57fa\u4e8e\u771f\u5b9e\u9891\u8c31\u91cd\u5efa\u7684 Vocoded Speech \u4f4e 0.28 \u548c 0.16\u3002\u4e0e VCA-GAN\u3001SVTS \u548c MT \u76f8\u6bd4\uff0c\u6a21\u578b\u5728\u4e3b\u89c2\u542c\u611f\u548c\u8bc6\u522b\u9519\u8bef\u7387\u4e0a\u5747\u53d6\u5f97\u66f4\u597d\u7ed3\u679c\u3002<\/p>\n\n\n\n

        \u5728\u66f4\u590d\u6742\u7684 Lip2Wav \u4e0a\uff0c\u672c\u6587\u65b9\u6cd5\u53d6\u5f97 4.15 \u7684\u81ea\u7136\u5ea6 MOS\u30013.69 \u7684\u53ef\u61c2\u5ea6 MOS\u300134.71% \u7684 WER \u548c 22.57% \u7684 CER\u3002\u76f8\u8f83\u6700\u4f73\u57fa\u7ebf VCA-GAN\uff0cWER \u964d\u4f4e 14.02 \u4e2a\u767e\u5206\u70b9\uff0c\u8bf4\u660e\u81ea\u76d1\u7763\u8bed\u8a00\u4fe1\u606f\u80fd\u591f\u5728\u975e\u53d7\u63a7\u573a\u666f\u4e2d\u6709\u6548\u6539\u5584\u53d1\u97f3\u51c6\u786e\u6027\u3002<\/p>\n\n\n\n

        4.3 \u6d88\u878d\u5b9e\u9a8c<\/h3>\n\n\n\n
        \"\"<\/figure>\n\n\n\n

        \u79fb\u9664\u8bed\u8a00\u9884\u6d4b\u5668\u540e\uff0cWER \u4ece 34.71% \u4e0a\u5347\u81f3 42.51%\uff0cCER \u4ece 22.57% \u4e0a\u5347\u81f3 27.99%\uff0c\u8bf4\u660e\u8bed\u8a00\u9884\u6d4b\u5668\u5bf9\u6d88\u9664\u540c\u5507\u5f02\u97f3\u548c\u63d0\u9ad8\u53ef\u61c2\u5ea6\u6700\u5173\u952e\u3002<\/p>\n\n\n\n

        \u79fb\u9664\u97f3\u9ad8\u9884\u6d4b\u5668\u65f6\uff0c\u81ea\u7136\u5ea6 CMOS \u964d\u81f3 \u22121.06\uff0c\u8868\u660e\u97f5\u5f8b\u4fe1\u606f\u76f4\u63a5\u5f71\u54cd\u8bed\u97f3\u542c\u611f\u3002\u79fb\u9664 Flow Post-Net \u540e\uff0c\u81ea\u7136\u5ea6 CMOS \u964d\u81f3 \u22121.48\uff0c\u662f\u81ea\u7136\u5ea6\u4e0b\u964d\u6700\u5927\u7684\u8bbe\u7f6e\uff0c\u8bc1\u660e\u6d41\u6a21\u578b\u5728\u6062\u590d\u7ec6\u7c92\u5ea6\u58f0\u5b66\u4fe1\u606f\u65b9\u9762\u53d1\u6325\u4e86\u4e3b\u8981\u4f5c\u7528\u3002<\/p>\n\n\n\n

        5. \u8bfe\u9898\u4ef7\u503c\u4e0e\u542f\u53d1<\/h2>\n\n\n\n
        \"\"<\/figure>\n\n\n\n

        5.1 \u8de8\u6a21\u6001\u7f3a\u5931\u4fe1\u606f\u8865\u5168<\/h3>\n\n\n\n

        \u8bba\u6587\u8bc1\u660e\u4e86\u89c6\u89c9\u8fd0\u52a8\u4e0d\u4ec5\u53ef\u4ee5\u7528\u4e8e\u8bc6\u522b\u4eba\u6b63\u5728\u8bf4\u4ec0\u4e48\uff0c\u8fd8\u53ef\u4ee5\u4f5c\u4e3a\u6062\u590d\u7f3a\u5931\u542c\u89c9\u4fe1\u606f\u7684\u6761\u4ef6\u3002\u5bf9\u4e8e\u591a\u6a21\u6001\u7a7a\u95f4\u5efa\u6a21\uff0c\u8fd9\u63d0\u4f9b\u4e86\u4e00\u6761\u91cd\u8981\u8def\u5f84\uff1a\u5f53\u67d0\u79cd\u6a21\u6001\u7f3a\u5931\u6216\u8d28\u91cf\u8f83\u5dee\u65f6\uff0c\u53ef\u4ee5\u5229\u7528\u4e0e\u5176\u65f6\u95f4\u540c\u6b65\u7684\u5176\u4ed6\u6a21\u6001\u8fdb\u884c\u8865\u5168\u3002<\/p>\n\n\n\n

        5.2 \u7ed3\u6784\u5316\u58f0\u5b66\u5c5e\u6027\u5efa\u6a21<\/h3>\n\n\n\n

        \u672c\u6587\u6ca1\u6709\u628a\u89c6\u89c9\u7279\u5f81\u76f4\u63a5\u6620\u5c04\u5230\u6700\u7ec8\u6ce2\u5f62\uff0c\u800c\u662f\u5c06\u8bed\u8a00\u5185\u5bb9\u3001\u97f3\u9ad8\u3001\u80fd\u91cf\u548c\u8bf4\u8bdd\u4eba\u7279\u5f81\u5206\u522b\u5efa\u6a21\u3002\u8fd9\u79cd\u201c\u5148\u89e3\u6790\u4e2d\u95f4\u5c5e\u6027\uff0c\u518d\u5b8c\u6210\u8de8\u6a21\u6001\u751f\u6210\u201d\u7684\u65b9\u6cd5\u66f4\u5bb9\u6613\u89e3\u91ca\uff0c\u4e5f\u4fbf\u4e8e\u63a7\u5236\u3002\u7c7b\u4f3c\u601d\u60f3\u53ef\u4ee5\u6269\u5c55\u5230\u5bf9\u8c61\u7ea7\u58f0\u97f3\u8868\u793a\uff0c\u5c06\u58f0\u6e90\u8eab\u4efd\u3001\u58f0\u97f3\u5185\u5bb9\u3001\u5f3a\u5ea6\u548c\u65f6\u95f4\u53d8\u5316\u5206\u522b\u7f16\u7801\uff0c\u518d\u4e0e\u89c6\u89c9\u5bf9\u8c61\u5efa\u7acb\u5173\u8054\u3002<\/p>\n\n\n\n

        5.3 \u4ece\u5507\u8bed\u751f\u6210\u8d70\u5411\u52a8\u6001\u58f0\u573a\u91cd\u5efa<\/h3>\n\n\n\n

        \u5f53\u524d\u6a21\u578b\u4e3b\u8981\u5904\u7406\u5355\u4e2a\u8bf4\u8bdd\u4eba\u7684\u6b63\u8138\u89c6\u9891\uff0c\u5c1a\u672a\u663e\u5f0f\u5efa\u6a21\u58f0\u6e90\u65b9\u5411\u3001\u7a7a\u95f4\u8ddd\u79bb\u3001\u623f\u95f4\u6df7\u54cd\u3001\u591a\u58f0\u6e90\u5e72\u6270\u548c\u8de8\u65f6\u95f4\u8eab\u4efd\u4e00\u81f4\u6027\u3002\u56e0\u6b64\uff0c\u5b83\u8fd8\u4e0d\u80fd\u76f4\u63a5\u5f62\u6210\u5b8c\u6574\u7684\u52a8\u6001\u58f0\u573a\u8868\u793a\u3002<\/p>\n\n\n\n

        \u8fdb\u4e00\u6b65\u7814\u7a76\u53ef\u4ee5\u7ed3\u5408\u58f0\u6e90\u5b9a\u4f4d\u3001\u6df1\u5ea6\u4f30\u8ba1\u3001\u8bf4\u8bdd\u4eba\u8ddf\u8e2a\u548c\u7a7a\u95f4\u97f3\u9891\u751f\u6210\uff0c\u5c06\u201c\u53e3\u578b\u5230\u8bed\u97f3\u201d\u6269\u5c55\u4e3a\u201c\u573a\u666f\u5bf9\u8c61\u2014\u58f0\u6e90\u8eab\u4efd\u2014\u7a7a\u95f4\u4f4d\u7f6e\u2014\u58f0\u97f3\u5185\u5bb9\u2014\u58f0\u5b66\u4f20\u64ad\u201d\u7684\u7edf\u4e00\u5efa\u6a21\uff0c\u4e3a\u865a\u5b9e\u7a7a\u95f4\u5b6a\u751f\u548c\u52a8\u6001\u573a\u666f\u63a8\u6f14\u63d0\u4f9b\u66f4\u52a0\u5b8c\u6574\u7684\u542c\u89c9\u4fe1\u606f\u3002<\/p>\n\n\n\n

        6. \u603b\u7ed3<\/h2>\n\n\n\n

        \u300aLet There Be Sound\u300b\u56f4\u7ed5\u5507\u8bed\u751f\u6210\u4e2d\u7684\u4e00\u5bf9\u591a\u6620\u5c04\u95ee\u9898\uff0c\u4ece\u8bed\u8a00\u5185\u5bb9\u3001\u58f0\u5b66\u97f5\u5f8b\u548c\u9891\u8c31\u7ec6\u8282\u4e09\u4e2a\u5c42\u9762\u63d0\u51fa\u89e3\u51b3\u65b9\u6848\u3002HuBERT \u79bb\u6563\u8868\u793a\u63d0\u9ad8\u53d1\u97f3\u51c6\u786e\u6027\uff0c\u97f3\u9ad8\u4e0e\u80fd\u91cf\u9884\u6d4b\u5668\u589e\u5f3a\u97f5\u5f8b\uff0cFlow Post-Net \u5219\u6539\u5584\u9891\u8c31\u7ec6\u8282\u548c\u81ea\u7136\u5ea6\u3002\u5b9e\u9a8c\u8868\u660e\uff0c\u8be5\u65b9\u6cd5\u5728\u53d7\u63a7\u548c\u975e\u53d7\u63a7\u6570\u636e\u96c6\u4e0a\u5747\u663e\u8457\u8d85\u8fc7\u5df2\u6709\u6a21\u578b\u3002<\/p>\n\n\n\n

        \u8fd9\u9879\u5de5\u4f5c\u4e5f\u8bf4\u660e\uff0c\u9ad8\u8d28\u91cf\u8de8\u6a21\u6001\u751f\u6210\u9700\u8981\u5bf9\u4e0d\u786e\u5b9a\u6027\u8fdb\u884c\u663e\u5f0f\u5206\u89e3\u3002\u5bf9\u4e8e\u9762\u5411\u7a7a\u95f4\u7684\u591a\u6a21\u6001\u7814\u7a76\uff0c\u540e\u7eed\u53ef\u4ee5\u628a\u8fd9\u79cd\u5206\u5c42\u751f\u6210\u601d\u8def\u4e0e\u5bf9\u8c61\u5b9a\u4f4d\u3001\u7a7a\u95f4\u5173\u7cfb\u548c\u58f0\u5b66\u4f20\u64ad\u7ed3\u5408\uff0c\u63a8\u52a8\u4ece\u5c40\u90e8\u8bed\u97f3\u6062\u590d\u8d70\u5411\u5b8c\u6574\u52a8\u6001\u58f0\u573a\u91cd\u5efa\u3002<\/p>\n\n\n\n

        \n\n\n\n

        <\/p>\n","protected":false},"excerpt":{"rendered":"

        \u4f5c\u8005\uff1aJi-Hoon Kim\uff0cJaehun Kim\uff0cJoon Son Chung \u5355\u4f4d\uff1aKorea Advan […]<\/p>\n","protected":false},"author":84,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-5697","post","type-post","status-publish","format-standard","hentry","category-events"],"_links":{"self":[{"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/posts\/5697","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/users\/84"}],"replies":[{"embeddable":true,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/comments?post=5697"}],"version-history":[{"count":1,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/posts\/5697\/revisions"}],"predecessor-version":[{"id":5702,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/posts\/5697\/revisions\/5702"}],"wp:attachment":[{"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/media?parent=5697"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/categories?post=5697"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/tags?post=5697"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}