{"id":1069287,"date":"2022-03-31T20:38:00","date_gmt":"2022-04-01T03:38:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-blog-post&p=1069287"},"modified":"2024-09-25T01:23:02","modified_gmt":"2024-09-25T08:23:02","slug":"cmatch-adapter","status":"publish","type":"msr-blog-post","link":"https:\/\/www.microsoft.com\/en-us\/research\/articles\/cmatch-adapter\/","title":{"rendered":"\u5982\u4f55\u4ebf\u70b9\u70b9\u964d\u4f4e\u8bed\u97f3\u8bc6\u522b\u8de8\u9886\u57df\u3001\u8de8\u8bed\u79cd\u8fc1\u79fb\u96be\u5ea6\uff1f"},"content":{"rendered":"\n

\u4f5c\u8005\uff1a\u4faf\u6c76\u6615\u3001\u738b\u664b\u4e1c<\/em><\/p>\n\n\n\n

\u7f16\u8005\u6309\uff1a\u968f\u7740\u6df1\u5ea6\u5b66\u4e60\u7684\u4e0d\u65ad\u53d1\u5c55\uff0c\u8bed\u97f3\u8bc6\u522b\u6280\u672f\u5f97\u5230\u4e86\u6781\u5927\u7684\u63d0\u5347\uff0c\u540c\u65f6\u4e3a\u4eba\u4eec\u7684\u65e5\u5e38\u751f\u6d3b\u63d0\u4f9b\u4e86\u8bb8\u591a\u4fbf\u5229\u3002\u7136\u800c\uff0c\u4e00\u4e2a\u8bed\u97f3\u6a21\u578b\u7684\u8bad\u7ec3\u5e76\u975e\u6613\u4e8b\uff0c\u56e0\u4e3a\u8bed\u97f3\u6570\u636e\u5929\u7136\u5b58\u5728\u7740\u83b7\u53d6\u96be\u3001\u6570\u636e\u6807\u6ce8\u8017\u65f6\u6602\u8d35\u7684\u95ee\u9898\uff0c\u800c\u4e14\u8fd8\u4f1a\u9762\u4e34\u6a21\u578b\u6f02\u79fb\u3001\u6807\u6ce8\u6570\u636e\u4e0d\u8db3\u7b49\u96be\u9898\u3002\u56e0\u6b64\uff0c\u8fc1\u79fb\u5b66\u4e60\u6280\u672f\u5bf9\u4e8e\u8bed\u97f3\u6570\u636e\u975e\u5e38\u91cd\u8981\u3002\u4e3a\u4e86\u89e3\u51b3\u8bed\u97f3\u8bc6\u522b\u7684\u8de8\u9886\u57df\u548c\u8de8\u8bed\u8a00\u95ee\u9898\uff0c\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u673a\u5668\u5b66\u4e60\u7ec4\u548c\u5fae\u8f6f\uff08\u4e9a\u6d32\uff09\u4e92\u8054\u7f51\u5de5\u7a0b\u9662\u63d0\u51fa\u4e86\u8de8\u9886\u57df\u548c\u8de8\u8bed\u8a00\u8bed\u97f3\u8bc6\u522b\u7684 CMatch \u548c Adapter \u65b9\u6cd5\u3002\u8fd9\u4e24\u9879\u6280\u672f\u662f\u5982\u4f55\u63d0\u5347\u6a21\u578b\u8fc1\u79fb\u5b66\u4e60\u6027\u80fd\u7684\uff1f\u4ed6\u4eec\u53c8\u5229\u7528\u4e86\u54ea\u4e9b\u521b\u65b0\u6280\u672f\uff1f\u8ba9\u6211\u4eec\u4ece\u4eca\u5929\u7684\u6587\u7ae0\u4e2d\u6765\u83b7\u5f97\u7b54\u6848\u5427\u3002<\/p>\n\n\n\n

\n\n\n\n

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\u4e3a\u4e86\u89e3\u51b3\u4e0a\u8ff0\u96be\u9898\uff0c\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u63d0\u51fa\u4e86\u7528\u4e8e\u8bed\u97f3\u8bc6\u522b\u7684\u65e0\u76d1\u7763\u5b57\u7b26\u7ea7\u5206\u5e03\u9002\u914d\u8fc1\u79fb\u5b66\u4e60\u65b9\u6cd5 CMatch \u548c\u57fa\u4e8e\u9002\u914d\u5668\u67b6\u6784\u7684\u53c2\u6570\u9ad8\u6548\u8de8\u8bed\u8a00\u8fc1\u79fb\u65b9\u6cd5 Adapter\u3002\u76f8\u5173\u8bba\u6587\u5df2\u5206\u522b\u88ab\u8bed\u97f3\u9886\u57df\u9876\u4f1a\u548c\u9876\u520a Interspeech 2021 \u53ca IEEE\/ACM TASLP 2022 \u6240\u63a5\u6536\u3002\uff08\u8bba\u6587\u94fe\u63a5\uff0c\u8bf7\u89c1\u6587\u672b\uff09<\/p>\n\n\n\n

\u8fc1\u79fb\u5b66\u4e60\u65b9\u6cd5 CMatch\uff1a\u5b9e\u73b0\u5b57\u7b26\u7ea7\u8de8\u9886\u57df\u9002\u914d<\/h2>\n\n\n\n

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\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u63d0\u51fa\u4e86\u4e00\u79cd\u7528\u4e8e ASR \u7684\u65e0\u76d1\u7763\u5b57\u7b26\u7ea7\u5206\u5e03\u5339\u914d\u65b9\u6cd5\u2014\u2014 CMatch\uff0c\u4ee5\u5b9e\u73b0\u5728\u4e24\u4e2a\u4e0d\u540c\u9886\u57df\u4e2d\u7684\u6bcf\u4e2a\u5b57\u7b26\u4e4b\u95f4\u6267\u884c\u7ec6\u7c92\u5ea6\u7684\u81ea\u9002\u5e94\u3002\u5728 Libri-Adapt \u6570\u636e\u96c6\u4e0a\u8fdb\u884c\u7684\u5b9e\u9a8c\u8868\u660e\uff0cCMatch \u5728\u8de8\u8bbe\u5907\u548c\u8de8\u73af\u5883\u7684\u9002\u914d\u4e0a\u76f8\u5bf9\u5355\u8bcd\u9519\u8bef\u7387\uff08WER\uff09\u5206\u522b\u964d\u4f4e\u4e8614.39\uff05\u548c16.50\uff05\u3002\u540c\u65f6\uff0c\u7814\u7a76\u5458\u4eec\u8fd8\u5168\u9762\u5206\u6790\u4e86\u5e27\u7ea7\u6807\u7b7e\u5206\u914d\u548c\u57fa\u4e8e Transformer \u7684\u9886\u57df\u9002\u914d\u7684\u4e0d\u540c\u7b56\u7565\u3002<\/p>\n\n\n\n

\u4ee5\u56fe1\u4e3a\u4f8b\uff0c\u901a\u8fc7\u6267\u884c CMatch \u7b97\u6cd5\uff0c\u4e24\u4e2a\u9886\u57df\u76f8\u540c\u7684\u5b57\u7b26\u5728\u7279\u5f81\u5206\u5e03\u4e2d\u88ab\u62c9\u8fd1\u4e86\uff1a<\/p>\n\n\n\n

\"\u56fe1\uff1a\u6267\u884c
\u56fe1\uff1a\u6267\u884c CMatch \u524d\u540e\u6548\u679c\u5bf9\u6bd4<\/em><\/figcaption><\/figure>\n\n\n\n

<\/p>\n\n\n\n

CMatch \u65b9\u6cd5\u7531\u4e24\u4e2a\u6b65\u9aa4\u7ec4\u6210\uff1a\u5e27\u7ea7\u6807\u7b7e\u5206\u914d\u548c\u5b57\u7b26\u7ea7\u522b\u7684\u5206\u5e03\u5339\u914d\u3002<\/p>\n\n\n\n

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\"\u56fe2\uff1a\u4e09\u79cd\u5e27\u7ea7\u6807\u7b7e\u5206\u914d\u7b56\u7565\"
\u56fe2\uff1a\u4e09\u79cd\u5e27\u7ea7\u6807\u7b7e\u5206\u914d\u7b56\u7565<\/em><\/figcaption><\/figure>\n\n\n\n

<\/p>\n\n\n\n

\u9700\u8981\u8bf4\u660e\u7684\u662f\uff0c\u5728\u6e90\u57df\u4e0a\u4f7f\u7528\u771f\u5b9e\u6587\u672c\u8fdb\u884c\u6807\u7b7e\u5206\u914d\u65f6\uff0c\u7531\u4e8e\u76ee\u6807\u57df\u6ca1\u6709\u6587\u672c\uff0c\u6240\u4ee5\u9700\u8981\u501f\u52a9\u6e90\u57df\u6a21\u578b\u5148\u5bf9\u76ee\u6807\u57df\u7684\u8bed\u97f3\u6570\u636e\u8fdb\u884c\u4f2a\u6807\u6ce8\uff0c\u7136\u540e\u518d\u4f7f\u7528\u6a21\u578b\u6807\u6ce8\u7684\u6587\u672c\u8fdb\u884c\u6807\u7b7e\u5206\u914d\u3002<\/p>\n\n\n\n

\u5f97\u5230\u5e27\u7ea7\u522b\u7684\u6807\u7b7e\u540e\uff0c\u5c31\u9700\u8981\u8fdb\u884c\u5b57\u7b26\u7ea7\u522b\u7684\u5206\u5e03\u5339\u914d\u3002\u7814\u7a76\u5458\u4eec\u9009\u62e9\u91c7\u7528\u4e86 Maximum Mean Discrepancy\uff08MMD\uff09\u5ea6\u91cf\u8fdb\u884c\u7279\u5f81\u5339\u914d\u3002MMD \u7528\u4e8e\u8bc4\u4f30\u4e24\u4e2a\u5206\u5e03\u4e4b\u95f4\u7684\u5dee\u5f02\uff0c\u662f\u8fc1\u79fb\u5b66\u4e60\u4e2d\u5e38\u89c1\u7684\u4e00\u79cd\u5206\u5e03\u5ea6\u91cf\u65b9\u6cd5\u3002\u5b83\u7684\u516c\u5f0f\u4e3a\uff1a<\/p>\n\n\n\n

\"formular\"<\/figure>\n\n\n\n

\u5b9e\u9645\u64cd\u4f5c\u4e2d\uff0c\u7ed9\u5b9a\u6e90\u57df\u548c\u76ee\u6807\u57df\u6837\u672c X_S, X_T\uff0c\u8ba1\u7b97 MMD \u7684\u6709\u504f\u5dee\u7684\u7ecf\u9a8c\u4f30\u8ba1\uff1a<\/p>\n\n\n\n

\"formular\"<\/figure>\n\n\n\n

\u901a\u8fc7\u8ba1\u7b97\u6240\u6709\u5b57\u7b26\u4e4b\u95f4\u7684\u5e73\u5747 MMD\uff0c\u53ef\u4ee5\u5f97\u5230\u5b57\u7b26\u7ea7\u522b\u7684\u5206\u5e03\u5339\u914d\u635f\u5931\u51fd\u6570\uff1a<\/p>\n\n\n\n

\"formular\"<\/figure>\n\n\n\n

\u6700\u7ec8\uff0c\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u91c7\u7528 CTC-Attention \u6df7\u5408\u6a21\u578b\u4f5c\u4e3a\u57fa\u7840 ASR \u6a21\u578b\uff0c\u4ee5\u53ca\u540c\u65f6\u6df7\u5408\u5b66\u4e60 CTC \u6a21\u5757\uff08\u7528\u4e8e\u5e27\u7ea7\u6807\u7b7e\u5206\u914d\uff09\u548c\u57fa\u4e8e Transformer Decoder \u7684 Seq2Seq Loss\uff0c\u4e8e\u662f\u8bed\u97f3\u8bc6\u522b\u7684\u635f\u5931\u51fd\u6570\u53ef\u4ee5\u8868\u793a\u4e3a\uff1a<\/p>\n\n\n\n

\"formular\"<\/figure>\n\n\n\n

\u5c06\u5206\u5e03\u5339\u914d\u635f\u5931\u51fd\u6570\u548c\u8bed\u97f3\u8bc6\u522b\u635f\u5931\u51fd\u6570\u76f8\u7ed3\u5408\uff0c\u5c31\u5f97\u5230\u4e86\u6700\u7ec8\u7684\u635f\u5931\u51fd\u6570\uff1a<\/p>\n\n\n\n

\"formular\"<\/figure>\n\n\n\n

\u6700\u7ec8\u7b97\u6cd5\u6d41\u7a0b\u5982\u88681\uff1a<\/p>\n\n\n\n

\"\u88681\uff1aCMatch
\u88681\uff1aCMatch \u5b66\u4e60\u7b97\u6cd5<\/em><\/figcaption><\/figure>\n\n\n\n

<\/p>\n\n\n\n

\u9886\u57df\u5185\u3001\u8de8\u8bbe\u5907\u3001\u8de8\u73af\u5883\u8bed\u97f3\u8bc6\u522b\uff0cCMatch\u5747\u53d6\u5f97\u6700\u4f73\u6548\u679c<\/h2>\n\n\n\n

\u88682\u662f\u8de8\u8bbe\u5907\u8bed\u97f3\u8bc6\u522b\u65f6\u7684\u7ed3\u679c\uff0c\u503c\u5f97\u6ce8\u610f\u5230\u7684\u662f\uff0cSource-only \u7684\u6a21\u578b\u5728\u5176\u4ed6\u8bbe\u5907\u5f55\u5236\u8bed\u97f3\u4e0a\u7684\u8bc6\u522b\u6548\u679c\u76f8\u6bd4\u9886\u57df\u5185\u6a21\u578b\u90fd\u4f1a\u6709\u4e00\u5b9a\u7a0b\u5ea6\u7684\u4e0b\u964d\u3002\u800c\u57fa\u4e8e\u5168\u5c40 MMD \u548c\u9886\u57df\u5bf9\u6297\u8bad\u7ec3\u7684\u65b9\u6cd5\u5747\u6709\u6240\u63d0\u5347\uff0cCMatch \u5219\u5728\u5404\u4e2a\u60c5\u51b5\u4e0b\u5747\u53d6\u5f97\u4e86\u6700\u4f73\u7684\u6548\u679c\u3002<\/p>\n\n\n\n

\"\u88682\uff1a\u8de8\u8bbe\u5907\u8bed\u97f3\u8bc6\u522b\u7ed3\u679c\"
\u88682\uff1a\u8de8\u8bbe\u5907\u8bed\u97f3\u8bc6\u522b\u7ed3\u679c<\/em><\/figcaption><\/figure>\n\n\n\n

\u88683\u7684\u7ed3\u679c\u8868\u660e\uff0cCMatch \u5728\u8de8\u73af\u5883\uff08\u6297\u566a\u58f0\uff09\u8bed\u97f3\u8bc6\u522b\u60c5\u51b5\u4e0b\u4e5f\u53d6\u5f97\u4e86\u5f88\u597d\u7684\u6548\u679c\u3002<\/p>\n\n\n\n

\"\u88683\uff1a\u8de8\u73af\u5883\uff08\u6297\u566a\u58f0\uff09\u8bed\u97f3\u8bc6\u522b\u7ed3\u679c\"
\u88683\uff1a\u8de8\u73af\u5883\uff08\u6297\u566a\u58f0\uff09\u8bed\u97f3\u8bc6\u522b\u7ed3\u679c<\/em><\/figcaption><\/figure>\n\n\n\n

<\/p>\n\n\n\n

\u88684\u4e3a\u6d88\u878d\u5b9e\u9a8c\uff0c\u53ef\u4ee5\u770b\u5230\u7ed3\u5408\u4e86\u81ea\u8bad\u7ec3\u548c\u7ec6\u7c92\u5ea6\u7684\u5206\u5e03\u5339\u914d\u80fd\u591f\u4f7f CMatch \u8fbe\u5230\u6700\u597d\u7684\u6548\u679c\u3002<\/p>\n\n\n\n

\"\u88684\uff1aCMatch
\u88684\uff1aCMatch \u6d88\u878d\u5b9e\u9a8c\u7ed3\u679c<\/em><\/figcaption><\/figure>\n\n\n\n

\u6b64\u5916\uff0c\u7814\u7a76\u5458\u4eec\u8fd8\u5206\u6790\u6bd4\u8f83\u4e86\u4e09\u79cd\u5b57\u7b26\u5206\u914d\u65b9\u6cd5\u3002\u5728\u88685\u4e2d\u53ef\u4ee5\u770b\u51fa CTC \u5f3a\u5236\u5bf9\u9f50\u53d6\u5f97\u4e86\u6700\u597d\u7684\u6548\u679c\uff0c\u4f46\u662f\u5176\u8ba1\u7b97\u5f00\u9500\u4e5f\u6700\u5927\uff1b\u800c FrameAverage \u4e5f\u53d6\u5f97\u4e86\u8f83\u597d\u7684\u6548\u679c\uff0c\u4f46\u5b83\u7684\u5047\u8bbe\u524d\u63d0\u662f\u9886\u57df\u548c\u76ee\u6807\u57df\u5177\u6709\u5747\u5300\u7684\u8bf4\u8bdd\u901f\u5ea6\uff1b\u800c\u4f7f\u7528 CTC \u4f2a\u6807\u7b7e\u7684\u65b9\u6cd5\u53d6\u5f97\u4e86\u4e0e CTC \u5f3a\u5236\u5bf9\u9f50\u76f8\u8fd1\u7684\u7ed3\u679c\uff0c\u540c\u65f6\u8ba1\u7b97\u8d77\u6765\u4e5f\u66f4\u52a0\u9ad8\u6548\u3002<\/p>\n\n\n\n

\"\u88685\uff1a\u4e09\u79cd\u5b57\u7b26\u5206\u914d\u65b9\u6cd5\u7684\u5b9e\u9a8c\u7ed3\u679c\"
\u88685\uff1a\u4e09\u79cd\u5b57\u7b26\u5206\u914d\u65b9\u6cd5\u7684\u5b9e\u9a8c\u7ed3\u679c<\/em><\/figcaption><\/figure>\n\n\n\n

<\/p>\n\n\n\n

\u6700\u540e\uff0c\u5bf9\u4e8e\u662f\u5426\u9700\u8981\u5728\u89e3\u7801\u5668\u7aef\u4f7f\u7528 CMatch Loss\uff0c\u5b9e\u9a8c\u7ed3\u679c\u5982\u88686\u3002\u7531\u4e8e\u89e3\u7801\u5668\u5728\u5b9e\u9a8c\u4e2d\u672c\u6765\u5c31\u6ca1\u6709\u529f\u80fd\u4e0a\u7684\u5dee\u522b\uff0c\u76ee\u6807\u6587\u672c\u90fd\u662f\u6807\u51c6\u7684\u82f1\u6587\uff0c\u56e0\u6b64\u51cf\u5c0f\u5176\u5206\u5e03\u7684\u5dee\u5f02\u5e76\u6ca1\u6709\u4ec0\u4e48\u6548\u679c\uff0c\u751a\u81f3\u4f1a\u635f\u5bb3\u6027\u80fd\u3002<\/p>\n\n\n\n

\"\u88686\uff1a\u89e3\u7801\u5668\u7aef\u4f7f\u7528
\u88686\uff1a\u89e3\u7801\u5668\u7aef\u4f7f\u7528 CMatch Loss \u7684\u6d4b\u8bd5\u7ed3\u679c<\/em><\/figcaption><\/figure>\n\n\n\n

<\/p>\n\n\n\n

Adapter \u518d\u8fdb\u5316\uff1a\u66f4\u5c11\u7684\u8bad\u7ec3\u6570\u636e\uff0c\u66f4\u9ad8\u7684\u51c6\u786e\u7387<\/h2>\n\n\n\n

\u5728\u4e00\u4ee3\u4ee3\u79d1\u5b66\u5bb6\u548c\u5de5\u7a0b\u5e08\u7684\u52aa\u529b\u4e0b\uff0c\u8bed\u97f3\u8bc6\u522b\u7cfb\u7edf\u5728\u5404\u79cd\u4e3b\u6d41\u8bed\u8a00\u4e0a\u90fd\u5df2\u7ecf\u8fbe\u5230\u4e86\u975e\u5e38\u597d\u7684\u6548\u679c\uff0c\u6bd4\u5982\u82f1\u8bed\u3001\u4e2d\u6587\u3001\u6cd5\u8bed\u3001\u4fc4\u8bed\u3001\u897f\u73ed\u7259\u8bed\u7b49\u2026\u2026\u8ba9\u4eba\u4eec\u5728\u65e5\u5e38\u751f\u6d3b\u4e2d\u5c31\u80fd\u4eab\u53d7\u5176\u5e26\u6765\u7684\u4fbf\u5229\u3002\u7136\u800c\uff0c\u4e16\u754c\u4e0a\u6709\u5927\u7ea67,000\u79cd\u8bed\u8a00\uff0c\u5176\u4e2d\u7edd\u5927\u90e8\u5206\u8bed\u8a00\u7684\u4f7f\u7528\u8005\u5e76\u4e0d\u591a\uff0c\u800c\u4e14\u4e0d\u540c\u4eba\u7684\u65b9\u8a00\u3001\u53e3\u97f3\u3001\u8bf4\u8bdd\u65b9\u5f0f\u4e5f\u6709\u6240\u4e0d\u540c\uff0c\u8fd9\u5c31\u4f7f\u5f97\u8fd9\u4e9b\u8bed\u8a00\u7684\u8bed\u97f3\u6570\u636e\u5341\u5206\u7a00\u7f3a\uff0c\u5373\u4f4e\u8d44\u6e90\uff08low-resource\uff09\u8bed\u8a00\u3002\u6807\u6ce8\u6570\u636e\u7684\u7a00\u7f3a\u5bfc\u81f4\u8fd1\u5e74\u6765\u7aef\u5230\u7aef\u8bed\u97f3\u8bc6\u522b\u7684\u8bf8\u591a\u6210\u679c\u8fdf\u8fdf\u4e0d\u80fd\u5e94\u7528\u5230\u8fd9\u4e9b\u8bed\u8a00\u4e0a\u3002<\/p>\n\n\n\n

\u4e3a\u6b64\uff0c\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u7684\u7814\u7a76\u5458\u4eec\u5f00\u59cb\u601d\u8003\u5982\u4f55\u5229\u7528\u8fc1\u79fb\u5b66\u4e60\uff0c\u5c06\u4e3b\u6d41\u8bed\u8a00\uff08\u5982\u82f1\u8bed\u3001\u4e2d\u6587\u7b49\uff09\u7684\u77e5\u8bc6\u7528\u4e8e\u5e2e\u52a9\u4f4e\u8d44\u6e90\u8bed\u8a00\u7684\u5b66\u4e60\uff0c\u5728\u591a\u79cd\u8bed\u8a00\u4e4b\u95f4\u5171\u4eab\uff0c\u8d77\u5230\u201c\u56db\u4e24\u62e8\u5343\u65a4\u201d\u7684\u6548\u679c\uff0c\u4ece\u800c\u63d0\u5347\u5c0f\u8bed\u79cd\u8bed\u97f3\u8bc6\u522b\u7684\u8868\u73b0\u3002\u5982\u56fe3\u6240\u793a\uff0c\u7ed9\u5b9a\u7f57\u9a6c\u5c3c\u4e9a\u8bed\u4f5c\u4e3a\u76ee\u6807\u8bed\u8a00\uff0c\u5982\u4f55\u5229\u7528\u6570\u636e\u76f8\u5bf9\u4e30\u5bcc\u7684\u610f\u5927\u5229\u8bed\u3001\u5a01\u5c14\u58eb\u8bed\u548c\u4fc4\u8bed\u6765\u8bad\u7ec3\u51fa\u66f4\u597d\u7684\u7f57\u9a6c\u5c3c\u4e9a\u8bed\u8bed\u97f3\u8bc6\u522b\u6a21\u578b\uff1f<\/p>\n\n\n\n

\"\u56fe3\uff1a\u7ed9\u5b9a\u82e5\u5e72\u6e90\u8bed\u8a00\uff0c\u5982\u4f55\u5c06\u77e5\u8bc6\u8fc1\u79fb\u5230\u76ee\u6807\u8bed\u8a00\u4e0a\uff1f\"
\u56fe3\uff1a\u7ed9\u5b9a\u82e5\u5e72\u6e90\u8bed\u8a00\uff0c\u5982\u4f55\u5c06\u77e5\u8bc6\u8fc1\u79fb\u5230\u76ee\u6807\u8bed\u8a00\u4e0a\uff1f<\/em><\/figcaption><\/figure>\n\n\n\n

<\/p>\n\n\n\n

\u5e78\u8fd0\u7684\u662f\uff0c\u8fd1\u5e74\u6765\uff0c\u5982 wav2vec2.0 [2] \u7b49\u9884\u8bad\u7ec3\u6a21\u578b\u90fd\u5df2\u7ecf\u63a8\u51fa\u4e86\u591a\u8bed\u8a00\u7248\u672c\uff0c\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u4e4b\u524d\u7684\u7814\u7a76\u4e5f\u8bc1\u660e\u4e86\u4ec5\u9700\u8981\u7b80\u5355\u7684\u5fae\u8c03\uff0c\u4e00\u4e2a\u5927\u89c4\u6a21\u7684\u591a\u8bed\u8a00\u6a21\u578b\u5c31\u80fd\u88ab\u9002\u914d\u5230\u4e00\u4e2a\u4f4e\u8d44\u6e90\u8bed\u8a00\u4e0a\uff0c\u5e76\u80fd\u663e\u8457\u6539\u5584\u8bc6\u522b\u6027\u80fd\u3002<\/p>\n\n\n\n

\u4f46\u4e0e\u6b64\u540c\u65f6\uff0c\u7814\u7a76\u5458\u4eec\u4e5f\u53d1\u73b0\u4e86\u4e24\u4e2a\u65b0\u95ee\u9898\uff1a<\/p>\n\n\n\n

    \n
  1. \u5927\u89c4\u6a21\u7684\u591a\u8bed\u8a00\u6a21\u578b\u5f80\u5f80\u542b\u6709\u5927\u91cf\u7684\u53c2\u6570\uff0c\u5bfc\u81f4\u5728\u4e00\u4e9b\u6570\u636e\u91cf\u975e\u5e38\u5c11\u7684\u60c5\u51b5\u4e0b\uff0c\u6a21\u578b\u6781\u6613\u8fc7\u62df\u5408\u3002<\/li>\n\n\n\n
  2. \u5982\u679c\u5bf9\u4e8e\u4e16\u754c\u4e0a\u7684\u6bcf\u4e00\u4e2a\u5c0f\u8bed\u79cd\u90fd\u7ef4\u62a4\u4e00\u4e2a\u5fae\u8c03\u540e\u7684\u5927\u6a21\u578b\uff0c\u6210\u672c\u5c06\u4f1a\u5341\u5206\u5de8\u5927\u3002<\/li>\n<\/ol>\n\n\n\n

    \u4e0d\u8fc7\uff0c\u4e4b\u524d Houlsby \u7b49\u4eba\u53d1\u73b0[3]\uff0c\u5bf9\u4e8e\u4e00\u4e2a\u9884\u8bad\u7ec3\u597d\u7684 BERT\uff0c\u53ea\u9700\u8981\u5728 Transformer \u7684\u6bcf\u4e00\u5c42\u63d2\u5165\u4e00\u4e2a\u5982\u56fe4\u6240\u793a\u7684 Adapter\uff0c\u5c31\u80fd\u5728\u4e0d\u6539\u53d8\u6a21\u578b\u4e3b\u5e72\u53c2\u6570\u7684\u60c5\u51b5\u4e0b\u5c06\u6a21\u578b\u9002\u914d\u5230\u5404\u79cd\u4e0b\u6e38\u4efb\u52a1\uff0c\u751a\u81f3\u80fd\u591f\u53d6\u5f97\u63a5\u8fd1\u6574\u4e2a\u6a21\u578b\u5fae\u8c03\u7684\u8868\u73b0\u3002Adapter \u4e3b\u8981\u5305\u542b\u4e00\u4e2a LayerNorm \u5c42\uff0c\u7528\u4e8e\u91cd\u65b0\u8c03\u8282\u539f\u59cb\u7279\u5f81\u7684\u5c3a\u5ea6\uff0c\u63a5\u7740\u5206\u522b\u662f\u4e00\u4e2a\u964d\u91c7\u6837\u5c42\u548c\u4e00\u4e2a\u5347\u91c7\u6837\u5c42\u5bf9\u7279\u5f81\u8fdb\u884c\u538b\u7f29\u548c\u8fd8\u539f\uff0c\u6700\u540e\u7531\u4e00\u4e2a\u6b8b\u5dee\u8fde\u63a5\u4fdd\u8bc1\u539f\u59cb\u7279\u5f81\u4f9d\u7136\u80fd\u901a\u8fc7\uff0c\u4ece\u800c\u63d0\u5347 Adapter \u8bad\u7ec3\u65f6\u7684\u7a33\u5b9a\u6027\u3002<\/p>\n\n\n\n

    \"\u56fe4\uff1aAdapter
    \u56fe4\uff1aAdapter \u7ed3\u6784\u793a\u610f\u56fe<\/em><\/figcaption><\/figure>\n\n\n\n

    <\/p>\n\n\n\n

    \u53d7\u5230 Adapter \u7684\u542f\u53d1\uff0c\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u7684\u7814\u7a76\u5458\u4eec\u5c1d\u8bd5\u4f7f\u7528 Adapter \u6765\u89e3\u51b3\u6a21\u578b\u8fc7\u62df\u5408\u95ee\u9898\uff0c\u5bf9\u5982\u4f55\u5229\u7528 Adapter \u8fdb\u884c\u9ad8\u53c2\u6570\u6548\u7387\uff08parameter-efficient\uff09\u7684\u9884\u8bad\u7ec3\u591a\u8bed\u8a00 ASR \u6a21\u578b\u7684\u8fc1\u79fb\u5c55\u5f00\u4e86\u7814\u7a76\uff0c\u5e76\u63d0\u51fa\u4e86 MetaAdapter \u548c SimAdapter \u6765\u5bf9 Adapter \u8fdb\u4e00\u6b65\u4f18\u5316\uff0c\u5728\u4ec5\u4f7f\u75282.5%\u548c15.5%\u7684\u53ef\u8bad\u7ec3\u53c2\u6570\u7684\u60c5\u51b5\u4e0b\uff0c\u4f7f\u5f97\u8bc6\u522b\u8bcd\u9519\u8bef\u7387\uff08WER\uff09\u76f8\u5bf9\u5168\u6a21\u578b\u5fae\u8c03\u5206\u522b\u964d\u4f4e\u4e862.98%\u548c2.55%\u3002<\/p>\n\n\n\n

    \u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u4f7f\u7528\u4e86\u81ea\u5df1\u9884\u8bad\u7ec3\u7684\u591a\u8bed\u8a00\u6a21\u578b\u8fdb\u884c\u5b9e\u9a8c\uff0c\u8be5\u65b9\u6cd5\u4e5f\u53ef\u4ee5\u7528\u4e8e wav2vec2.0 \u7b49\u6a21\u578b\u4e0a\u3002\u5177\u4f53\u6765\u8bf4\uff0c\u6a21\u578b\u7684\u4e3b\u5e72\u57fa\u4e8e Transformer \u7684\u7ed3\u6784\uff0c\u4e3b\u8981\u5305\u542b12\u5c42 Encoder \u4ee5\u53ca6\u5c42 Decoder \u6a21\u578b\uff0c\u7ed3\u5408\u4e8611\u79cd\u8bed\u6599\uff08\u5305\u542b42\u79cd\u8bed\u8a00\uff0c\u603b\u65f6\u957f\u7ea65,000\u5c0f\u65f6\uff09\u5bf9\u6a21\u578b\u8fdb\u884c\u9884\u8bad\u7ec3\u3002\u540c\u65f6\uff0c\u6a21\u578b\u91c7\u7528\u4e86 CTC-Attention \u6df7\u5408\u635f\u5931\u51fd\u6570\u6765\u63d0\u5347\u8bad\u7ec3\u7684\u7a33\u5b9a\u6027\u548c\u52a0\u901f\u8bad\u7ec3\uff0c\u5373\u5728 Encoder \u7684\u8f93\u51fa\u7279\u5f81\u4e0a\u589e\u52a0 CTC \u5c42\uff0c\u4f7f\u7528 CTC \u635f\u5931\u8fdb\u884c\u7ea6\u675f\u3002\u7814\u7a76\u5458\u4eec\u8fd8\u5c06 Adapter \u653e\u5728\u524d\u9988\u5c42\uff08Feed-Forward Networks\uff09\u540e\u9762\uff0c\u4ece\u800c\u5bf9\u6bcf\u4e00\u5c42\u7684\u8f93\u51fa\u7279\u5f81\u8fdb\u884c\u8c03\u8282\u3002<\/p>\n\n\n\n

    \"\u56fe5\uff1a\u4e3b\u5e72\u6a21\u578b\u793a\u610f\u56fe\"
    \u56fe5\uff1a\u4e3b\u5e72\u6a21\u578b\u793a\u610f\u56fe<\/em><\/figcaption><\/figure>\n\n\n\n

    <\/p>\n\n\n\n

    MetaAdapter\uff1aMetaAdapter \u5728\u7ed3\u6784\u4e0a\u4e0e Adapter \u5b8c\u5168\u4e00\u81f4\uff0c\u552f\u4e00\u4e0d\u540c\u7684\u662f\uff0c\u4f7f\u7528\u4e86 MAML (Model-Agnostic Meta-Learning) [4] \u5143\u5b66\u4e60\u7b97\u6cd5\u6765\u5b66\u4e60\u4e00\u4e2a Adapter \u66f4\u4f18\u7684\u521d\u59cb\u5316\u3002MetaAdapter \u9700\u8981\u901a\u8fc7\u5b66\u4e60\u5982\u4f55\u5b66\u4e60\u591a\u79cd\u6e90\u8bed\u8a00\uff0c\u4ece\u800c\u5728\u5404\u79cd\u8bed\u8a00\u4e2d\u6536\u96c6\u9690\u542b\u7684\u5171\u4eab\u4fe1\u606f\uff0c\u4ee5\u5e2e\u52a9\u5b66\u4e60\u4e00\u4e2a\u65b0\u7684\u8bed\u8a00\u3002\u5b9e\u9a8c\u53d1\u73b0\uff0cMetaAdapter \u5bf9\u4e8e\u8fc7\u62df\u5408\u548c\u6781\u5c11\u6570\u636e\u91cf\u7684\u9c81\u68d2\u6027\uff0c\u4ee5\u53ca\u6700\u7ec8\u8fc1\u79fb\u6548\u679c\u5747\u663e\u8457\u5f3a\u4e8e\u539f\u59cb Adapter \u3002<\/p>\n\n\n\n

    \"\u56fe6\uff1aMetaAdapter\"
    \u56fe6\uff1aMetaAdapter<\/em><\/figcaption><\/figure>\n\n\n\n

    <\/p>\n\n\n\n

    SimAdapter\uff1a\u5982\u679c\u8bf4 MetaAdapter \u9700\u8981\u901a\u8fc7\u6536\u96c6\u9690\u542b\u7684\u5171\u4eab\u4fe1\u606f\u6765\u5b66\u4e60\u65b0\u7684\u8bed\u8a00\uff0c\u90a3\u4e48 SimAdapter \u5219\u662f\u663e\u5f0f\u5730\u8981\u6c42\u6a21\u578b\u53bb\u5efa\u6a21\u5404\u79cd\u8bed\u8a00\u7684\u76f8\u4f3c\u5ea6\u5173\u7cfb\uff0c\u4ece\u800c\u66f4\u597d\u7684\u5b66\u4e60\u76ee\u6807\u8bed\u8a00\uff0c\u5176\u7ed3\u6784\u5982\u56fe7\u6240\u793a\u3002\u5728\u7814\u7a76\u5458\u4eec\u770b\u6765\uff0c\u591a\u8bed\u8a00\u6a21\u578b\u7684\u539f\u59cb\u7279\u5f81\u662f\u76f8\u5bf9\u8bed\u8a00\u65e0\u5173\u7684\uff0c\u90a3\u4e48\u5982\u679c\u4f7f\u7528\u8fd9\u4e9b\u7279\u5f81\u4f5c\u4e3a Query\uff0c\u5c06\u5404\u8bed\u8a00 Adapter\uff08\u5305\u62ec\u76ee\u6807\u8bed\u8a00\uff09\u8f93\u51fa\u7684\u8bed\u8a00\u5f3a\u76f8\u5173\u7279\u5f81\u4f5c\u4e3a Key \u548c Value\uff0c\u90a3\u4e48\u5c31\u80fd\u901a\u8fc7\u6784\u9020\u6ce8\u610f\u529b\u673a\u5236\uff0c\u4ece\u76ee\u6807\u8bed\u8a00\u548c\u6e90\u8bed\u8a00\u4e2d\u5206\u522b\u63d0\u53d6\u4e00\u4e9b\u6709\u6548\u4fe1\u606f\uff0c\u4f5c\u4e3a\u66f4\u597d\u7684\u76ee\u6807\u8bed\u8a00\u7279\u5f81\u3002<\/p>\n\n\n\n

    \"\u56fe7\uff1aSimAdapter
    \u56fe7\uff1aSimAdapter \u7ed3\u6784\u793a\u610f\u56fe<\/em><\/figcaption><\/figure>\n\n\n\n

    <\/p>\n\n\n\n

    SimAdapter+ \u8fbe\u5230\u6700\u4f18\u7ed3\u679c\uff0cMetaAdapter \u64c5\u957f\u6570\u636e\u91cf\u6781\u5c11\u7684\u573a\u666f<\/h2>\n\n\n\n

    \u901a\u8fc7\u5c06\u6a21\u578b\u5728 Common Voice \u7684\u4e94\u79cd\u4f4e\u8d44\u6e90\u8bed\u8a00\u4e0a\u8fdb\u884c\u5b9e\u9a8c\uff0c\u7ed3\u679c\u5982\u88687\u6240\u793a\u3002\u6839\u636e\u8fc1\u79fb\u4e0e\u5426\u4ee5\u53ca\u8fc1\u79fb\u65b9\u5f0f\u7684\u4e0d\u540c\uff0c\u53ef\u4ee5\u5c06\u5404\u79cd\u65b9\u6cd5\u5206\u4e3a\u4e09\u7c7b\uff1a<\/p>\n\n\n\n

      \n
    1. \u4e0d\u8fc1\u79fb\uff08\u5de6\u8fb9\u680f\uff09\uff1a\u5305\u62ec\u4e86\u4f20\u7edf\u7684 DNN\/HMM \u6df7\u5408\u6a21\u578b\uff0c\u4ece\u5934\u8bad\u7ec3\u7684 Transformer\uff08B. \u548c\u672c\u6587\u7528\u7684\u4e3b\u5e72\u6a21\u578b\u5927\u5c0f\u7ed3\u6784\u5747\u4e00\u81f4\uff1bS. \u6307\u4e3a\u4e86\u6291\u5236\u8fc7\u62df\u5408\uff0c\u800c\u5c06\u53c2\u6570\u91cf\u8c03\u5c0f\u7684\u7248\u672c\uff09\uff0c\u4ee5\u53ca\u5c06\u9884\u8bad\u7ec3\u597d\u7684\u6a21\u578b\u5f53\u4f5c\u7279\u5f81\u63d0\u53d6\u5668\uff0c\u53bb\u5b66\u4e60\u76ee\u6807\u8bed\u8a00\u7684\u8f93\u51fa\u5c42\u3002<\/li>\n\n\n\n
    2. \u57fa\u4e8e\u5fae\u8c03\u7684\u8fc1\u79fb\uff08\u4e2d\u95f4\u680f\uff09\uff1a\u5305\u62ec\u4e86\u5b8c\u6574\u6a21\u578b\u7684\u5fae\u8c03\uff0c\u4ee5\u53ca\u5bf9\u4e8e\u6291\u5236\u8fc7\u62df\u5408\u7684\u5c1d\u8bd5\uff08\u5b8c\u6574\u6a21\u578b\u5fae\u8c03 +L2 \u6b63\u5219\u5316\u3001\u4ec5\u5fae\u8c03\u6a21\u578b\u6700\u540e\u51e0\u5c42\u53c2\u6570\uff09<\/li>\n\n\n\n
    3. \u57fa\u4e8e Adapter \u7684\u8fc1\u79fb\uff08\u53f3\u8fb9\u680f\uff09\uff1a\u5373\u672c\u6587\u4ecb\u7ecd\u7684\u5404\u79cd\u65b9\u6cd5\uff0c\u5176\u4e2d SimAdapter+ \u662f\u7ed3\u5408\u4e86 SimAdapter \u548c MetaAdapter \u7684\u5347\u7ea7\u7248\u3002<\/li>\n<\/ol>\n\n\n\n
      \"\u88687\uff1aMetaAdapter
      \u88687\uff1aMetaAdapter \u548c SimAdapter \u5728 Common Voice \u4e94\u79cd\u4f4e\u8d44\u6e90\u8bed\u8a00\u4e0a\u7684\u5b9e\u9a8c\u7ed3\u679c<\/em><\/figcaption><\/figure>\n\n\n\n

      <\/p>\n\n\n\n

      \u8fd9\u91cc\u91c7\u7528\u4e86\u4e24\u79cd\u5e73\u5747\u65b9\u5f0f\u6765\u53cd\u5e94\u6a21\u578b\u7684\u4e0d\u540c\u80fd\u529b\uff1a1. \u76f4\u63a5\u5e73\u5747\uff1a\u6ca1\u6709\u8003\u8651\u4e0d\u540c\u8bed\u8a00\u5185\u7684\u6570\u636e\u91cf\uff0c\u5bf9\u4e8e\u5c24\u5176\u64c5\u957f\u6781\u5c11\u6570\u636e\u7684\u7b97\u6cd5\u4f1a\u66f4\u6709\u4f18\u52bf\uff1b2. \u52a0\u6743\u5e73\u5747\uff1a\u8003\u8651\u4e86\u4e0d\u540c\u8bed\u8a00\u672c\u8eab\u7684\u6570\u636e\u91cf\uff0c\u66f4\u9002\u5408\u7528\u6765\u8861\u91cf\u6a21\u578b\u5728\u5404\u79cd\u60c5\u51b5\u4e0b\u7684\u7efc\u5408\u8868\u73b0\u3002<\/p>\n\n\n\n

      \u7531\u7ed3\u679c\u53ef\u4ee5\u770b\u51fa\uff1a<\/p>\n\n\n\n

        \n
      1. \u4f7f\u7528\u8fc1\u79fb\u5b66\u4e60\u7684\u65b9\u6cd5\u5747\u660e\u663e\u597d\u4e8e\u4e0d\u4f7f\u7528\u8fc1\u79fb\u5b66\u4e60\u7684\u65b9\u6cd5\uff0c\u5370\u8bc1\u4e86\u8fc1\u79fb\u5b66\u4e60\u7684\u91cd\u8981\u6027\u3002<\/li>\n\n\n\n
      2. \u5168\u6a21\u578b\u5fae\u8c03\u6709\u7740\u975e\u5e38\u5f3a\u5927\u7684\u6548\u679c\uff0c\u5bf9\u5176\u65bd\u52a0\u4f20\u7edf\u7684 L2 \u6b63\u5219\uff0c\u6216\u662f\u4ec5\u5fae\u8c03\u6a21\u578b\u6700\u540e\u51e0\u5c42\u53c2\u6570\u6548\u679c\u90fd\u4e0d\u7406\u60f3\u3002<\/li>\n\n\n\n
      3. \u539f\u59cb\u7684 Adapter \u5728\u5408\u9002\u7684\u8bad\u7ec3\u65b9\u6cd5\u4e0b\u57fa\u672c\u53ef\u4ee5\u8fbe\u5230\u548c\u5168\u6a21\u578b\u5fae\u8c03\u76f8\u540c\u7684\u6c34\u5e73\uff0c\u8bf4\u660e\u4e86 Adapter \u5728 ASR \u4efb\u52a1\u4e0a\u7684\u6709\u6548\u6027\u3002<\/li>\n\n\n\n
      4. \u672c\u6587\u63d0\u51fa\u7684 SimAdapter \u548c MetaAdapter \u5747\u8fdb\u4e00\u6b65\u63d0\u9ad8\u4e86 Adapter \u7684\u8868\u73b0\uff0c\u5c06\u5b83\u4eec\u7ed3\u5408\u540e\u7684 SimAdapter+ \u66f4\u662f\u8fbe\u5230\u4e86\u6587\u4e2d\u6700\u4f18\u7684\u7ed3\u679c\u3002<\/li>\n\n\n\n
      5. \u503c\u5f97\u6ce8\u610f\u7684\u662f\uff0cMetaAdapter \u66f4\u64c5\u957f\u6570\u636e\u91cf\u6781\u5c11\u7684\u60c5\u51b5\uff0c\u800c\u5728 SimAdapter \u5219\u6709\u7740\u66f4\u5747\u8861\u7684\u8868\u73b0\u3002<\/li>\n<\/ol>\n\n\n\n

        \u521b\u65b0\u8bad\u7ec3\u65b9\u6cd5\u548c\u5b9e\u9a8c\u65b9\u6cd5\uff1a\u8fdb\u4e00\u6b65\u9a8c\u8bc1 Adapter \u548c SimAdapter \u7684\u6027\u80fd<\/h2>\n\n\n\n

        \u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u63d0\u51fa\u4e86\u4e24\u9636\u6bb5\u8bad\u7ec3\u65b9\u6cd5\u4ee5\u63d0\u9ad8 Adapter \u5728\u8bed\u97f3\u8bc6\u522b\u4efb\u52a1\u4e0a\u7684\u8868\u73b0\uff1a\u6a21\u578b\u8fc1\u79fb\u8fc7\u7a0b\u4e2d\u9700\u8981\u5b66\u4e60\u4e00\u4efd\u65b0\u8bed\u8a00\u7684\u8bcd\u8868\uff0c\u5982\u679c\u5c06\u8be5\u8bcd\u8868\u548c Adapter \u4e00\u8d77\u8bad\u7ec3\uff0c\u7531\u4e8e\u8bcd\u5d4c\u5165\u7684\u4e0d\u65ad\u66f4\u65b0\uff0c\u53ef\u80fd\u4f1a\u5bfc\u81f4 Adapter \u5b66\u4e60\u76ee\u6807\u7684\u6df7\u4e71\u3002\u540c\u65f6\u5b66\u4e60 Adapter \u548c\u8bcd\u8868\u4e5f\u53ef\u80fd\u4f1a\u8bcd\u5d4c\u5165\u4ece\u800c\u627f\u62c5\u4e00\u90e8\u5206 Adapter \u7684\u529f\u80fd\uff0c\u5bfc\u81f4 Adapter \u65e0\u6cd5\u5b66\u4e60\u5230\u8db3\u591f\u7684\u8bed\u8a00\u76f8\u5173\u7279\u5f81\uff0c\u9020\u6210\u540e\u7eed SimAdapter \u7684\u8868\u73b0\u4e0b\u964d\u3002\u56e0\u6b64\uff0c\u5148\u5c06\u4e3b\u5e72\u6a21\u578b\u56fa\u5b9a\u4f4f\uff0c\u5c06\u65b0\u8bed\u8a00\u7684\u8bcd\u8868\u6620\u5c04\u5230\u6a21\u578b\u76f8\u540c\u7684\u9690\u7a7a\u95f4\uff08latent space\uff09\u4e2d\uff0c\u518d\u5c06\u8bcd\u8868\u56fa\u5b9a\u4f4f\u5b66\u4e60 Adapter\uff0c\u53ef\u4ee5\u8fbe\u5230\u66f4\u597d\u7684\u6548\u679c\uff0c\u5982\u88688\u6240\u793a\u3002<\/p>\n\n\n\n

        \"\u88688\uff1a\u4e8c\u9636\u6bb5\u8bad\u7ec3\u6cd5\"
        \u88688\uff1a\u4e8c\u9636\u6bb5\u8bad\u7ec3\u6cd5<\/em><\/figcaption><\/figure>\n\n\n\n

        <\/p>\n\n\n\n

        \u53e6\u5916\uff0c\u4e3a\u4e86\u8bc1\u660e SimAdapter \u7684\u786e\u80fd\u591f\u4ece\u5176\u4ed6\u8bed\u8a00\u5b66\u4e60\u5230\u6709\u7528\u7684\u77e5\u8bc6\uff0c\u7814\u7a76\u5458\u4eec\u8bbe\u8ba1\u4e86\u4e24\u4e2a\u5b9e\u9a8c\uff1a<\/p>\n\n\n\n

        \u5176\u4e00\uff0c\u5c1d\u8bd5\u53bb\u9664\u76ee\u6807\u8bed\u8a00\u672c\u8eab\u7684 Adapter \uff0c\u4ee5\u8981\u6c42 SimAdapter \u4ec5\u901a\u8fc7\u6e90\u8bed\u8a00\u6765\u5b66\u4e60\u4e00\u4e2a\u5bf9\u76ee\u6807\u8bed\u8a00\u6709\u7528\u7684\u7279\u5f81\uff0c\u7ed3\u679c\u5982\u88689\u6240\u793a\uff1a\u5373\u4f7f\u6ca1\u6709\u4f7f\u7528\u76ee\u6807\u8bed\u8a00 Adapter\uff0cSimAdapter \u4f9d\u7136\u80fd\u591f\u5728\u591a\u6570\u8bed\u8a00\u4e0a\u53d6\u5f97\u8f83\u4e3a\u660e\u663e\u7684\u63d0\u5347\u3002<\/p>\n\n\n\n

        \"\u88689\uff1aSimAdapter
        \u88689\uff1aSimAdapter \u6d88\u878d\u5b9e\u9a8c<\/em><\/figcaption><\/figure>\n\n\n\n

        <\/p>\n\n\n\n

        \u5176\u4e8c\uff0c\u5728\u4e4c\u514b\u5170\u8bed\u4e0a\u8bad\u7ec3\u4e24\u4e2a\u4e0d\u540c\u7684 SimAdapter \u6a21\u578b\uff0c\u4ee5\u5206\u6790\u4e0d\u540c\u6e90\u8bed\u8a00\uff08\u610f\u5927\u5229\u8bed\u548c\u4fc4\u8bed\uff09\u7684\u8d21\u732e\u3002\u7531\u4e8e\u4fc4\u8bed\u548c\u4e4c\u514b\u5170\u8bed\u66f4\u76f8\u4f3c\uff0c\u4f7f\u7528\u4fc4\u8bed Adapter \u5171\u540c\u8bad\u7ec3\u7684 SimAdapter \u5e94\u5f53\u83b7\u5f97\u66f4\u591a\u6536\u76ca\u3002\u7ed3\u679c\u663e\u793a\uff0c\u4f7f\u7528\u610f\u5927\u5229\u8bed Adapter \u7684 SimAdapter \u7684\u8bcd\u9519\u8bef\u7387\u4e3a48.70\uff0c\u800c\u4f7f\u7528\u4fc4\u8bed Adapter \u7684\u8bcd\u9519\u8bef\u7387\u4ec5\u4e3a47.73\uff0c\u8fd9\u8868\u660e\u76f8\u6bd4\u610f\u5927\u5229\u8bed\uff0cSimAdapter \u7684\u786e\u53ef\u4ee5\u4ece\u4fc4\u8bed\u4e2d\u5b66\u4e60\u66f4\u591a\u7684\u6709\u7528\u77e5\u8bc6\u6765\u5efa\u6a21\u4e4c\u514b\u5170\u8bed\u3002<\/p>\n\n\n\n

        \u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u5df2\u5c06 CMatch \u548c Adapter \u4ee3\u7801\u5f00\u6e90\uff0c\u5730\u5740\u5982\u4e0b\uff1a<\/p>\n\n\n\n

        https:\/\/github.com\/microsoft\/NeuralSpeech\/tree\/master\/CMatchASR (opens in new tab)<\/span><\/a><\/p>\n\n\n\n

        https:\/\/github.com\/microsoft\/NeuralSpeech\/tree\/master\/AdapterASR (opens in new tab)<\/span><\/a><\/p>\n\n\n\n

        \u76f8\u5173\u8bba\u6587\u94fe\u63a5\uff1a<\/p>\n\n\n\n

        [1] Deep Subdomain Adaptation Network for Image Classification<\/p>\n\n\n\n

        https:\/\/arxiv.org\/abs\/2106.09388 (opens in new tab)<\/span><\/a><\/p>\n\n\n\n

        [2] wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations
        https:\/\/arxiv.org\/abs\/2006.11477<\/p>\n\n\n\n

        [3] Parameter-Efficient Transfer Learning for NLP<\/p>\n\n\n\n

        https:\/\/arxiv.org\/abs\/1902.00751 (opens in new tab)<\/span><\/a><\/p>\n\n\n\n

        [4] Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks<\/p>\n\n\n\n

        https:\/\/arxiv.org\/abs\/1703.03400 (opens in new tab)<\/span><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

        \u4f5c\u8005\uff1a\u4faf\u6c76\u6615\u3001\u738b\u664b\u4e1c \u7f16\u8005\u6309\uff1a\u968f\u7740\u6df1\u5ea6\u5b66\u4e60\u7684\u4e0d\u65ad\u53d1\u5c55\uff0c\u8bed\u97f3\u8bc6\u522b\u6280\u672f\u5f97\u5230\u4e86\u6781\u5927\u7684\u63d0\u5347\uff0c\u540c\u65f6\u4e3a\u4eba\u4eec\u7684\u65e5\u5e38\u751f\u6d3b\u63d0\u4f9b\u4e86\u8bb8\u591a\u4fbf\u5229\u3002\u7136\u800c\uff0c\u4e00\u4e2a\u8bed\u97f3\u6a21\u578b\u7684\u8bad\u7ec3\u5e76\u975e\u6613\u4e8b\uff0c\u56e0\u4e3a\u8bed\u97f3\u6570\u636e\u5929\u7136\u5b58\u5728\u7740\u83b7\u53d6\u96be\u3001\u6570\u636e\u6807\u6ce8\u8017\u65f6\u6602\u8d35\u7684\u95ee\u9898\uff0c\u800c\u4e14\u8fd8\u4f1a\u9762\u4e34\u6a21\u578b\u6f02\u79fb\u3001\u6807\u6ce8\u6570\u636e\u4e0d\u8db3\u7b49\u96be\u9898\u3002\u56e0\u6b64\uff0c\u8fc1\u79fb\u5b66\u4e60\u6280\u672f\u5bf9\u4e8e\u8bed\u97f3\u6570\u636e\u975e\u5e38\u91cd\u8981\u3002\u4e3a\u4e86\u89e3\u51b3\u8bed\u97f3\u8bc6\u522b\u7684\u8de8\u9886\u57df\u548c\u8de8\u8bed\u8a00\u95ee\u9898\uff0c\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u673a\u5668\u5b66\u4e60\u7ec4\u548c\u5fae\u8f6f\uff08\u4e9a\u6d32\uff09\u4e92\u8054\u7f51\u5de5\u7a0b\u9662\u63d0\u51fa\u4e86\u8de8\u9886\u57df\u548c\u8de8\u8bed\u8a00\u8bed\u97f3\u8bc6\u522b\u7684 CMatch \u548c Adapter \u65b9\u6cd5\u3002\u8fd9\u4e24\u9879\u6280\u672f\u662f\u5982\u4f55\u63d0\u5347\u6a21\u578b\u8fc1\u79fb\u5b66\u4e60\u6027\u80fd\u7684\uff1f\u4ed6\u4eec\u53c8\u5229\u7528\u4e86\u54ea\u4e9b\u521b\u65b0\u6280\u672f\uff1f\u8ba9\u6211\u4eec\u4ece\u4eca\u5929\u7684\u6587\u7ae0\u4e2d\u6765\u83b7\u5f97\u7b54\u6848\u5427\u3002 \u8bed\u97f3\u8bc6\u522b\u5c31\u662f\u5c06\u4eba\u7684\u58f0\u97f3\u8f6c\u5316\u4e3a\u5bf9\u5e94\u7684\u6587\u5b57\uff0c\u5728\u5982\u4eca\u7684\u65e5\u5e38\u751f\u6d3b\u4e2d\u6709\u7740\u91cd\u8981\u7684\u5e94\u7528\uff0c\u4f8b\u5982\u624b\u673a\u4e2d\u7684\u8bed\u97f3\u52a9\u624b\u3001\u8bed\u97f3\u8f93\u5165\uff1b\u667a\u80fd\u5bb6\u5c45\u4e2d\u7684\u58f0\u63a7\u7167\u660e\u3001\u667a\u80fd\u7535\u89c6\u4ea4\u4e92\uff1b\u8fd8\u6709\u5f71\u89c6\u5b57\u5e55\u751f\u6210\u3001\u542c\u5f55\u901f\u8bb0\u7b49\u7b49\uff0c\u4ee5\u8bed\u97f3\u8bc6\u522b\u4e3a\u6838\u5fc3\u6280\u672f\u7684\u5e94\u7528\u5df2\u7ecf\u5c61\u89c1\u4e0d\u9c9c\u3002\u4f46\u662f\uff0c\u8bed\u97f3\u6570\u636e\u5929\u7136\u5b58\u5728\u7740\u83b7\u53d6\u96be\u3001\u6570\u636e\u6807\u6ce8\u8017\u65f6\u6602\u8d35\u7684\u95ee\u9898\u3002\u4e0d\u540c\u4eba\u7684\u65b9\u8a00\u3001\u53e3\u97f3\u3001\u8bf4\u8bdd\u65b9\u5f0f\u4e5f\u6709\u6240\u4e0d\u540c\u3002\u53d7\u9650\u4e8e\u6b64\uff0c\u91c7\u96c6\u5230\u7684\u8bed\u97f3\u6570\u636e\u7edd\u5927\u591a\u6570\u4f1a\u9762\u4e34\u6a21\u578b\u6f02\u79fb\u3001\u6807\u6ce8\u6570\u636e\u4e0d\u8db3\u7b49\u95ee\u9898\u3002 \u5c24\u5176\u662f\u8bed\u97f3\u8bc6\u522b\u4e2d\u7684\u8de8\u9886\u57df\u548c\u8de8\u8bed\u8a00\u573a\u666f\u66f4\u662f\u5341\u5206\u5177\u6709\u6311\u6218\u6027\u3002\u8de8\u9886\u57df\u6307\u7684\u662f\u5728\u9886\u57df A\uff08\u5982\u666e\u901a\u9ea6\u514b\u98ce\uff09\u8bad\u7ec3\u7684\u6a21\u578b\u5982\u4f55\u8fc1\u79fb\u5230\u9886\u57df B\uff08\u5982\u4e13\u7528\u9ea6\u514b\u98ce\uff09\u3002\u800c\u8de8\u8bed\u79cd\u5219\u6307\u7684\u662f\u5728\u8bed\u8a00 A\uff08\u5982\u4fc4\u8bed\uff09\u4e0a\u8bad\u7ec3\u7684\u6a21\u578b\u5982\u4f55\u8fc1\u79fb\u5230\u8bed\u8a00 B\uff08\u5982\u6377\u514b\u8bed\uff09\u3002\u7279\u522b\u662f\u5bf9\u4e8e\u4e00\u4e9b\u6807\u6ce8\u6570\u636e\u7a00\u7f3a\u7684\u5c0f\u8bed\u79cd\u66f4\u662f\u5982\u6b64\u3002\u56e0\u6b64\uff0c\u7814\u7a76\u4f4e\u8d44\u6e90\u8de8\u8bed\u79cd\u8fc1\u79fb\u81f3\u5173\u91cd\u8981\u3002 \u4e3a\u4e86\u89e3\u51b3\u4e0a\u8ff0\u96be\u9898\uff0c\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u63d0\u51fa\u4e86\u7528\u4e8e\u8bed\u97f3\u8bc6\u522b\u7684\u65e0\u76d1\u7763\u5b57\u7b26\u7ea7\u5206\u5e03\u9002\u914d\u8fc1\u79fb\u5b66\u4e60\u65b9\u6cd5 CMatch \u548c\u57fa\u4e8e\u9002\u914d\u5668\u67b6\u6784\u7684\u53c2\u6570\u9ad8\u6548\u8de8\u8bed\u8a00\u8fc1\u79fb\u65b9\u6cd5 Adapter\u3002\u76f8\u5173\u8bba\u6587\u5df2\u5206\u522b\u88ab\u8bed\u97f3\u9886\u57df\u9876\u4f1a\u548c\u9876\u520a Interspeech 2021 \u53ca IEEE\/ACM TASLP 2022 \u6240\u63a5\u6536\u3002\uff08\u8bba\u6587\u94fe\u63a5\uff0c\u8bf7\u89c1\u6587\u672b\uff09 \u4f17\u6240\u5468\u77e5\uff0c\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u7aef\u5230\u7aef ASR\uff08\u81ea\u52a8\u8bed\u97f3\u8bc6\u522b\uff09\u5df2\u7ecf\u53ef\u4ee5\u901a\u8fc7\u5927\u89c4\u6a21\u7684\u8bad\u7ec3\u6570\u636e\u548c\u5f3a\u5927\u7684\u6a21\u578b\u5f97\u5230\u5f88\u597d\u7684\u6027\u80fd\u3002\u4f46\u662f\uff0c\u8bad\u7ec3\u548c\u6d4b\u8bd5\u6570\u636e\u4e4b\u95f4\u53ef\u80fd\u4f1a\u56e0\u5f55\u97f3\u8bbe\u5907\u3001\u73af\u5883\u7684\u4e0d\u540c\u6709\u7740\u76f8\u4f3c\u5374\u4e0d\u5339\u914d\u7684\u5206\u5e03\uff0c\u5bfc\u81f4 ASR \u6a21\u578b\u6d4b\u8bd5\u65f6\u7684\u8bc6\u522b\u7cbe\u5ea6\u4e0b\u964d\u3002\u800c\u8fd9\u79cd\u9886\u57df\u6216\u5206\u5e03\u4e0d\u5339\u914d\u7684\u60c5\u51b5\u975e\u5e38\u591a\u6837\u4e14\u5e38\u89c1\uff0c\u4ee5\u81f3\u4e8e\u5f88\u96be\u5bf9\u6bcf\u4e2a\u9886\u57df\u7684\u8bed\u97f3\u6570\u636e\u8fdb\u884c\u5927\u91cf\u6536\u96c6\u5e76\u6807\u8bb0\u3002\u8fd9\u79cd\u60c5\u51b5\u4e0b\u6a21\u578b\u5f80\u5f80\u9700\u8981\u501f\u52a9\u65e0\u76d1\u7763\u9886\u57df\u9002\u914d\u6765\u63d0\u5347\u5176\u5728\u76ee\u6807\u57df\u7684\u8868\u73b0\u3002 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