{"id":13062,"date":"2026-08-24T11:33:45","date_gmt":"2026-08-24T03:33:45","guid":{"rendered":"https:\/\/www.ciai.ntnu.edu.tw\/?p=13062"},"modified":"2026-08-24T11:45:41","modified_gmt":"2026-08-24T03:45:41","slug":"https-www-ciai-ntnu-edu-tw-index-php-2026-08-24","status":"publish","type":"post","link":"https:\/\/www.ciai.ntnu.edu.tw\/index.php\/2026\/08\/24\/https-www-ciai-ntnu-edu-tw-index-php-2026-08-24\/","title":{"rendered":"\u653b\u514b\u672c\u571f\u8a9e\u8a00\u8fa8\u8b58\u74f6\u9838\uff01\u81fa\u5e2b\u5927 AI \u6240\u674e\u9d3b\u6b23\u8001\u5e2b\u8207\u8cc7\u5de5\u7cfb\u9673\u67cf\u7433\u8001\u5e2b\u5718\u968a \u69ae\u7372\u9802\u7d1a\u570b\u969b\u6703\u8b70 EMNLP 2026 \u9577\u8ad6\u6587\u9304\u53d6"},"content":{"rendered":"\t\t
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EMNLP \u8207 ACL\u3001NAACL \u4e26\u5217\u70ba\u5168\u7403\u81ea\u7136\u8a9e\u8a00\u8655\u7406\uff08NLP\uff09\u8207\u8a9e\u97f3\u8a9e\u8a00\u6280\u8853\u7684\u6700\u9ad8\u6bbf\u5802\uff0c\u6bcf\u5e74\u7af6\u722d\u6975\u70ba\u6fc0\u70c8\uff0c\u4eca\u5e74\u9577\u8ad6\u6587\u9304\u53d6\u7387\u50c5\u7d0416%<\/strong>\uff0c\u5c55\u73fe\u81fa\u5e2b\u5927\u7522\u5275\u5b78\u9662\u5728\u8de8\u9818\u57df\u524d\u77bb AI \u7814\u767c\u8207\u4eba\u624d\u57f9\u80b2\u4e0a\u7684\u9802\u5c16\u5be6\u529b\u3002<\/span><\/p>

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\u8a9e\u97f3\u8fa8\u8b58\uff08ASR\uff09\u662f\u7576\u4ee3\u667a\u6167\u8a9e\u97f3\u52a9\u7406\u3001\u81ea\u52d5\u5b57\u5e55\u8207\u5728\u5730\u5316 AI \u61c9\u7528\u7684\u6838\u5fc3\u6280\u8853\u3002\u7136\u800c\uff0c\u5c0d\u65bc\u81fa\u7063\u81fa\u8a9e\u3001\u5ba2\u8a9e\u7b49\u300c\u4f4e\u8cc7\u6e90\u8a9e\u8a00\uff08Low-Resource Languages\uff09\u300d\uff0c\u7531\u65bc\u7f3a\u4e4f\u5927\u898f\u6a21\u6a19\u8a3b\u7684\u8a9e\u97f3\u8207\u6587\u5b57\u5c0d\u7167\u8cc7\u6599\uff0c\u50b3\u7d71 AI \u5f80\u5f80\u56e0\u300c\u7df4\u7fd2\u91cf\u4e0d\u8db3\u300d\u800c\u983b\u7e41\u807d\u932f\uff0c\u6210\u70ba\u63a8\u52d5\u672c\u571f\u8a9e\u8a00\u6578\u4f4d\u4fdd\u5b58\u8207\u667a\u6167\u61c9\u7528\u7684\u4e00\u5927\u74f6\u9838\u3002<\/span><\/p>

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  1. \u300c\u7d14\u807d\u97f3\u300d\u5bb9\u6613\u807d\u932f\u540c\u97f3\u5b57<\/strong>\uff1a\u5982\u540c\u525b\u5b78\u8a9e\u8a00\u7684\u5916\u570b\u4eba\uff0c\u53ea\u807d\u767c\u97f3\u5f88\u5bb9\u6613\u628a\u767c\u97f3\u76f8\u4f3c\u4f46\u610f\u601d\u5b8c\u5168\u4e0d\u540c\u7684\u5b57\u8a5e\u641e\u6df7\u3002<\/span><\/li>
  2. \u300c\u7d14\u731c\u610f\u300d\u5bb9\u6613\u6191\u7a7a\u8166\u88dc<\/strong>\uff1a\u82e5\u50c5\u4f9d\u8cf4\u8a9e\u610f\u731c\u6e2c\uff0cAI \u5bb9\u6613\u812b\u96e2\u8aaa\u8a71\u8005\u7684\u5be6\u969b\u767c\u97f3\uff0c\u7522\u751f\u300c\u6587\u610f\u901a\u9806\u537b\u6839\u672c\u6c92\u4eba\u8aaa\u904e\u300d\u7684\u5e7b\u89ba\u8a5e\u5f59\u3002<\/span><\/li><\/ol>

    \u9996\u5275\u300c\u8a9e\u610f\uff0b\u8a9e\u97f3\u300d\u96d9\u91cd\u9328\u5b9a\u6a5f\u5236\uff08SAMA-ASR\uff09\uff1a\u50cf\u662f\u300c\u908a\u770b\u5927\u610f\u908a\u807d\u97f3\u300d<\/span><\/h3>

    \u70ba\u4e86\u89e3\u6c7a\u9019\u500b\u9577\u5e74\u75db\u9ede\uff0c\u81fa\u5e2b\u5927\u7814\u7a76\u5718\u968a\u5275\u65b0\u63d0\u51fa\u8f15\u91cf\u5316\u6a21\u578b\u67b6\u69cb\u2014\u2014SAMA-ASR\uff08\u8a9e\u610f\u611f\u77e5\u591a\u6a21\u614b\u9069\u914d\u5668\uff0cSemantic-Aware Multimodal Adapter\uff09<\/strong>\u3002<\/span><\/p>

    \u9019\u9805\u6280\u8853\u7684\u7cbe\u5999\u4e4b\u8655\uff0c\u5728\u65bc\u70ba AI \u6253\u9020\u4e86\u4e00\u5957\u300c\u96d9\u91cd\u6821\u6b63\u9328\u9ede\u300d\uff1a<\/span><\/p>

    • \u8a9e\u610f\u9328\u9ede\uff08Semantic Anchor\uff09<\/strong>\uff1a\u5728\u8fa8\u8b58\u6642\uff0c\u7cfb\u7d71\u6703\u5148\u81ea\u52d5\u900f\u904e\u8a9e\u97f3\u7ffb\u8b6f\u751f\u6210\u4e00\u6bb5\u83ef\u8a9e\uff08\u4e2d\u6587\uff09\u5927\u610f\uff0c\u8b93 AI \u5148\u638c\u63e1\u300c\u6574\u53e5\u8a71\u5927\u6982\u5728\u8b1b\u4ec0\u9ebc\u300d\uff0c\u8fc5\u901f\u6392\u9664\u767c\u97f3\u76f8\u8fd1\u4f46\u8a9e\u610f\u4e0d\u5408\u7684\u932f\u8aa4\u9078\u9805\uff08\u4f8b\u5982\uff1a\u907f\u514d\u628a\u300c\u5230\u9280\u884c\u300d\u807d\u6210\u300c\u6559\u56e1\u4ed4\u300d\uff09\u3002<\/span><\/li>
    • \u8a9e\u97f3\u9328\u9ede\uff08Acoustic Anchor\uff09<\/strong>\uff1a\u5728\u638c\u63e1\u8a9e\u610f\u7684\u540c\u6642\uff0cAI \u4ecd\u7dca\u7dca\u9396\u5b9a\u539f\u59cb\u8aaa\u8a71\u8072\u97f3\u7684\u767c\u97f3\u7279\u5fb5\uff0c\u9632\u6b62 AI \u6191\u7a7a\u8166\u88dc\u8207\u8a9e\u97f3\u4e0d\u7b26\u7684\u5b57\u8a5e\uff08\u4f8b\u5982\uff1a\u907f\u514d\u56e0\u770b\u898b\u300c\u516c\u5bb6\u6a5f\u95dc\u300d\u5c31\u81ea\u5df1\u731c\u6210\u300c\u4ea4\u8b66\u65b9\u300d\uff09\u3002<\/span><\/li><\/ul>

      \u66f4\u5177\u7a81\u7834\u6027\u7684\u662f\uff0c\u8a72\u7cfb\u7d71\u5728\u5be6\u969b\u4f7f\u7528\u6642\u5b8c\u5168\u4e0d\u9700\u8981\u4eba\u5de5\u9810\u5148\u63d0\u4f9b\u7ffb\u8b6f<\/strong>\uff0c\u800c\u662f\u80fd\u7531\u8f15\u91cf\u5316\u7684\u7ffb\u8b6f\u6a21\u7d44\u81ea\u52d5\u751f\u6210\u8a9e\u610f\u6307\u5f15\uff0c\u517c\u9867\u9ad8\u6548\u80fd\u8207\u5373\u6642\u5be6\u7528\u6027\u3002<\/span><\/p>

      \u8a55\u6e2c\u8868\u73fe\u4eae\u773c \u517c\u5177\u6587\u5316\u50b3\u627f\u8207\u7522\u696d\u61c9\u7528\u50f9\u503c<\/span><\/h3>

      \u7814\u7a76\u5718\u968a\u5728\u81fa\u8a9e<\/strong>\u8207\u5ba2\u8a9e<\/strong> \u7684 30 \u5c0f\u6642\u4f4e\u8cc7\u6e90\u6311\u6230\u8a55\u6e2c\u4e2d\u9032\u884c\u9a57\u8b49\u3002\u5be6\u9a57\u7d50\u679c\u986f\u793a\uff0cSAMA-ASR \u5728\u5404\u9805\u8fa8\u8b58\u6307\u6a19\u4e0a\u5747\u986f\u8457\u8d85\u8d8a\u73fe\u6709\u7684\u97f3\u8a0a\u5fae\u8abf\u8207\u6587\u5b57\u5f15\u5c0e\u57fa\u6e96\u6a21\u578b\uff0c\u5b57\u932f\u8aa4\u7387\uff08CER\uff09\u5927\u5e45\u964d\u4f4e\uff1b\u5728\u7d50\u5408\u8f15\u91cf\u5fae\u8abf\u6280\u8853\uff08LoRA\uff09\u6642\uff0c\u66f4\u80fd\u5728\u65e2\u6709\u57fa\u790e\u4e0a\u518d\u63d0\u5347\u8d85\u904e 12% \u7684\u8fa8\u8b58\u8868\u73fe\u3002<\/span><\/p>

      \u9019\u9805\u6210\u679c\u4e0d\u50c5\u5728\u5b78\u8853\u7406\u8ad6\u4e0a\u91cd\u65b0\u5b9a\u7fa9\u4e86\u4f4e\u8cc7\u6e90\u8a9e\u97f3\u8fa8\u8b58\u7684\u89e3\u984c\u67b6\u69cb\uff0c\u66f4\u5177\u5099\u9ad8\u5ea6\u7684\u5be6\u52d9\u61c9\u7528\u6f5b\u529b\uff1a<\/span><\/p>

      • \u672c\u571f\u6587\u5316\u6578\u4f4d\u4fdd\u5b58<\/strong>\uff1a\u52a0\u901f\u6b77\u53f2\u8a2a\u8ac7\u3001\u5730\u65b9\u5287\u76ee\u8207\u8006\u8001\u53e3\u8ff0\u6b77\u53f2\u7684\u81ea\u52d5\u5b57\u5e55\u8f49\u5beb\u8207\u6587\u6a94\u6574\u7406\u3002<\/span><\/li>
      • \u667a\u6167\u5728\u5730\u5316\u670d\u52d9<\/strong>\uff1a\u652f\u63f4\u91ab\u7642\u9577\u7167\u8aee\u8a62\u3001\u516c\u5171\u4fbf\u6c11\u7cfb\u7d71\u3001\u5ba2\u670d\u5c0d\u8a71\u4e2d\u81fa\u8a9e\u53ca\u5ba2\u8a9e\u7684\u5373\u6642\u7cbe\u6e96\u8fa8\u8b58\u3002<\/span><\/li>
      • \u8a9e\u8a00\u6559\u80b2\u5b78\u7fd2<\/strong>\uff1a\u63d0\u4f9b\u66f4\u7cbe\u78ba\u7684\u6bcd\u8a9e\u767c\u97f3\u8fa8\u8b58\u8207\u5373\u6642\u56de\u994b\u7cfb\u7d71\u3002<\/span><\/li><\/ul>

        \u7522\u5275\u8de8\u57df\u5408\u4f5c \u651c\u624b\u57f9\u80b2\u524d\u77bb AI \u5be6\u6230\u4eba\u624d<\/span><\/h3>

        \u7522\u5275\u5b78\u9662\u8868\u793a\uff0c\u672c\u6b21\u7372\u734e\u8ad6\u6587\u7531\u4e09\u4f4d\u78a9\u58eb\u73ed\u7814\u7a76\u751f\u5728\u5169\u4f4d\u6559\u6388\u7684\u6089\u5fc3\u6307\u5c0e\u4e0b\uff0c\u5c55\u73fe\u4e86\u5f9e\u524d\u77bb\u6f14\u7b97\u6cd5\u8a2d\u8a08\u3001\u591a\u6a21\u614b\u67b6\u69cb\u5275\u65b0\u5230\u5927\u898f\u6a21\u5be6\u9a57\u9a57\u8b49\u7684\u5b8c\u6574\u7814\u767c\u80fd\u529b\uff0c\u6210\u679c\u80fd\u767b\u4e0a\u570b\u969b\u9802\u5c16\u821e\u53f0\uff0c\u5168\u9662\u5e2b\u751f\u540c\u611f\u632f\u596e\u3002<\/span><\/p>

        \u672a\u4f86\uff0c\u7522\u5275\u5b78\u9662\u5c07\u6301\u7e8c\u6df1\u5316\u4eba\u5de5\u667a\u6167\u65bc\u591a\u5143\u7522\u696d\u8207\u5728\u5730\u6587\u5316\u8b70\u984c\u7684\u8de8\u57df\u7d50\u5408\uff0c\u63a8\u52d5\u66f4\u591a\u524d\u77bb\u7814\u7a76\u6210\u679c\u8d70\u5411\u570b\u969b\uff1b\u76f8\u95dc\u6838\u5fc3\u6280\u8853\u672a\u4f86\u4ea6\u5c07\u5c0e\u5165\u8207\u300c\u6613\u6668\u667a\u80fd\u300d\uff08EZAI\uff09\u7684\u7522\u5b78\u5408\u4f5c\u4e2d\uff0c\u52a0\u901f\u7814\u767c\u6210\u679c\u843d\u5730\uff0c\u5177\u9ad4\u843d\u5be6\u65bc\u7522\u696d\u5347\u7d1a\u8207\u793e\u6703\u61c9\u7528\u3002<\/span><\/p>

        \u3010\u8ad6\u6587\u8cc7\u8a0a\u3011<\/span><\/h3>
        • \u8ad6\u6587\u984c\u76ee<\/strong>\uff1aAnchoring Speech with Semantics: A Multimodal Adapter Mechanism for Automatic Speech Recognition in Low-Resource Languages<\/em><\/span><\/li>
        • \u767c\u8868\u6703\u8b70<\/strong>\uff1aThe 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP 2026<\/strong>), Main Conference (Long Paper)<\/span><\/li>
        • \u8ad6\u6587\u4f5c\u8005<\/strong>\uff1a\u81fa\u5e2b\u5927\u7814\u7a76\u751f\u5718\u968a\u3001\u674e\u9d3b\u6b23\u52a9\u7406\u6559\u6388\uff08AI \u6240 \/ \u7522\u5275\u5b78\u9662\uff09\u3001\u9673\u67cf\u7433\u6559\u6388\uff08\u8cc7\u5de5\u7cfb \/ \u7406\u5b78\u9662\uff09<\/span><\/li><\/ul>

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

          \u570b\u7acb\u81fa\u7063\u5e2b\u7bc4\u5927\u5b78\u8de8\u57df\u79d1\u6280\u7522\u696d\u5275\u65b0\u7814\u7a76\u5b78\u9662\uff08\u4ee5\u4e0b\u7c21\u7a31\u7522\u5275\u5b78\u9662\uff09\u5728\u4f4e\u8cc7\u6e90\u672c\u571f\u8a9e\u8a00 AI \u8a9e\u97f3\u8fa8\u8b58\u9818\u57df\u53d6\u5f97\u91cd\u5927\u7a81\u7834\uff01 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