{"id":29997,"date":"2026-01-24T15:56:35","date_gmt":"2026-01-24T07:56:35","guid":{"rendered":"http:\/\/139.9.1.231\/?p=29997"},"modified":"2026-01-24T15:56:37","modified_gmt":"2026-01-24T07:56:37","slug":"glclap-hw","status":"publish","type":"post","link":"http:\/\/139.9.1.231\/index.php\/2026\/01\/24\/glclap-hw\/","title":{"rendered":"GLCLAP\uff1a\u7528\u4e8eASR\u70ed\u8bcd\u68c0\u7d22\u7684\u5bf9\u6bd4\u5b66\u4e60\u9884\u8bad\u7ec3\u6a21\u578b"},"content":{"rendered":"\n<ul class=\"has-light-gray-background-color has-background\"><li><strong><em>GLCLAP: A Novel Contrastive Learning Pre-trained Model for Contextual Biasing in ASR<\/em><\/strong><\/li><li><a href=\"https:\/\/www.isca-archive.org\/interspeech_2025\/kong25_interspeech.pdf\"><strong><em>https:\/\/www.isca-archive.org\/interspeech_2025\/kong25_interspeech.pdf<\/em><\/strong><\/a><\/li><\/ul>\n\n\n\n<p>\u5c0f\u7c73\u56e2\u961f\u63d0\u51fa\u4e86\u4e00\u4e2a\u53eb<strong>GLCLAP<\/strong>\u7684\u9884\u8bad\u7ec3\u6a21\u578b\uff0c\u4e13\u95e8\u89e3\u51b3ASR\uff08\u81ea\u52a8\u8bed\u97f3\u8bc6\u522b\uff09\u91cc\u7684\u201c\u4e0a\u4e0b\u6587\u504f\u5411\u201d\u95ee\u9898\u2014\u2014\u7b80\u5355\u8bf4\u5c31\u662f\u8ba9ASR\u66f4\u51c6\u5730\u8bc6\u522b\u90a3\u4e9b\u9886\u57df\u7279\u5b9a\u8bcd\u6c47\uff08\u6bd4\u5982\u4eba\u540d\u3001\u5730\u540d\uff09\uff0c\u8fd8\u4e0d\u7528\u5fae\u8c03\u539fASR\u6a21\u578b\u3002<\/p>\n\n\n\n<p>\u4f20\u7edf\u7684\u4e0a\u4e0b\u6587\u504f\u7f6e ASR \u89e3\u51b3\u65b9\u6848\u4e2d\uff0c\u4e3b\u8981\u5b58\u5728\u4e24\u79cd\u8303\u5f0f\u3002\u7b2c\u4e00\u79cd\u4f9d\u8d56\u53d1\u97f3\u8bcd\u5178\uff0c\u4f8b\u5982\u57fa\u4e8e\u52a0\u6743\u6709\u9650\u72b6\u6001\u8f6c\u6362\u5668\uff08WFST\uff09\u7684\u76f8\u5173\u65b9\u6cd5\u3002\u8fd9\u7c7b\u7cfb\u7edf\u5229\u7528\u9884\u5148\u5b9a\u4e49\u7684\u53d1\u97f3\u4fe1\u606f\u6765\u63d0\u5347\u7279\u5b9a\u672f\u8bed\u7684\u8bc6\u522b\u51c6\u786e\u7387\u3002\u7b2c\u4e8c\u79cd\u8303\u5f0f\u662f\u5c06\u504f\u7f6e\u673a\u5236\u76f4\u63a5\u878d\u5165 ASR \u6a21\u578b\u7ed3\u6784\u4e2d\uff0c\u901a\u8fc7\u4e0e ASR \u6a21\u578b\u8fdb\u884c\u8054\u5408\u8bad\u7ec3\u6765\u5b9e\u73b0 \uff0c\u5178\u578b\u4ee3\u8868\u5305\u62ec SeAco-Paraformer\u3002<\/p>\n\n\n\n<p>\u7136\u800c\uff0c\u8fd9\u4e24\u7c7b\u7cfb\u7edf\u90fd\u4e0d\u5229\u4e8e\u5728\u652f\u6301 prompt \u7684 ASR \u573a\u666f\u4e2d\u5904\u7406\u504f\u7f6e\u8bcd\u3002\u5bf9\u4e8e\u57fa\u4e8e WFST \u7684\u7cfb\u7edf\u800c\u8a00\uff0c\u83b7\u53d6\u5c11\u6570\u8bed\u8a00\u6216\u65b9\u8a00\u7684\u53d1\u97f3\u8bcd\u5178\u5f80\u5f80\u5341\u5206\u56f0\u96be\uff1b\u800c\u7aef\u5230\u7aef\u7684\u4e0a\u4e0b\u6587\u504f\u7f6e\u65b9\u6cd5\u901a\u5e38\u9700\u8981\u4fee\u6539 ASR \u6a21\u578b\u7ed3\u6784\u5e76\u8fdb\u884c\u8054\u5408\u8bad\u7ec3\uff0c\u8fd9\u5728 prompt \u652f\u6301\u7684\u5927\u6a21\u578b\u8303\u5f0f\u4e0b\u7f3a\u4e4f\u7075\u6d3b\u6027\uff0c\u96be\u4ee5\u5feb\u901f\u66f4\u65b0\u548c\u8fed\u4ee3\u3002\u540c\u65f6\uff0c\u5927\u6a21\u578b\u8bad\u7ec3\u672c\u8eab\u9700\u8981\u5927\u91cf\u65f6\u95f4\u548c\u8ba1\u7b97\u8d44\u6e90\uff0c\u6210\u672c\u8f83\u9ad8\u3002<\/p>\n\n\n\n<p>\u5927\u8bed\u8a00\u6a21\u578b\uff08LLMs\uff09\u4e2d\u5f15\u5165\u7684\u63d0\u793a\u673a\u5236\u4e0e\u68c0\u7d22\u589e\u5f3a\u751f\u6210\uff08Retrieval-Augmented Generation\uff0cRAG\uff09\u4e3a\u6b64\u63d0\u4f9b\u4e86\u91cd\u8981\u542f\u793a\u3002RAG \u901a\u8fc7\u4f18\u5316\u63d0\u793a\u6765\u83b7\u5f97\u671f\u671b\u8f93\u51fa\uff0c\u800c\u65e0\u9700\u4fee\u6539 LLM \u7684\u7f51\u7edc\u7ed3\u6784\u6216\u8fdb\u884c\u5fae\u8c03\u3002\u53d7\u8fd9\u4e00\u8303\u5f0f\u7684\u542f\u53d1\uff0c\u504f\u7f6e\u63d0\u793a\u7684\u751f\u6210\u53ef\u4ee5\u4f5c\u4e3a\u4e00\u4e2a\u72ec\u7acb\u6a21\u5757\uff0c\u4e0e\u8bc6\u522b\u8fc7\u7a0b\u8fdb\u884c\u89e3\u8026\u3002\u8fd9\u6837\uff0c\u6a21\u578b\u65e2\u4e0d\u9700\u8981\u4f9d\u8d56\u53d1\u97f3\u8bcd\u5178\uff0c\u4e5f\u4e0d\u5fc5\u5728\u8bad\u7ec3\u9636\u6bb5\u4f9d\u8d56 ASR \u6a21\u578b\u672c\u8eab\u3002\u8be5\u65b9\u6cd5\u4e0e\u5f53\u524d\u7684\u5927\u6a21\u578b\u6846\u67b6\u9ad8\u5ea6\u5951\u5408\uff0c\u80fd\u591f\u5229\u7528 RAG \u601d\u8def\u5b9e\u73b0\u5927\u89c4\u6a21\u7684\u4e0a\u4e0b\u6587\u504f\u7f6e\u589e\u5f3a\u3002<\/p>\n\n\n\n<p>\u4e4b\u524d\u5e38\u7528\u7684\u591a\u6a21\u6001\u9884\u8bad\u7ec3\u6a21\u578bCLAP\uff08\u5bf9\u6bd4\u8bed\u8a00-\u97f3\u9891\u9884\u8bad\u7ec3\uff09\uff0c\u53ea\u80fd\u505a\u201c\u53e5\u5b50\u7ea7\u201d\u7684\u97f3\u9891-\u6587\u672c\u5339\u914d\u2014\u2014\u4f46\u504f\u5411\u8bcd\u5f80\u5f80\u53ea\u662f\u97f3\u9891\u91cc\u7684\u4e00\u5c0f\u6bb5\uff08\u6bd4\u5982\u53e5\u5b50\u91cc\u7684\u201cTaylor Swift\u201d\uff09\uff0cCLAP\u6293\u4e0d\u4f4f\u8fd9\u79cd\u5c40\u90e8\u4fe1\u606f\u3002\u6240\u4ee5\u5c31\u641e\u4e86<strong>GLCLAP<\/strong>\uff0c\u540c\u65f6\u6293\u201c\u5168\u5c40\u201d\uff08\u6574\u53e5\u8bed\u4e49\uff09\u548c<strong>\u201c\u5c40\u90e8\u201d\uff08\u504f\u5411\u8bcd\u7ec6\u8282\uff09\u7684\u4fe1\u606f<\/strong>\uff0c\u4e13\u95e8\u9002\u914d<strong>\u504f\u5411prompt<\/strong>\u751f\u6210\u3002<\/p>\n\n\n\n<p>\u672c\u6587\u7684\u4e3b\u8981\u8d21\u732e\u5982\u4e0b\uff1a<\/p>\n\n\n\n<ul><li>\u5229\u7528\u97f3\u9891-\u8bed\u8a00\u9884\u8bad\u7ec3\u6a21\u578b\u751f\u6210\u7528\u6237\u81ea\u5b9a\u4e49\u7684\u504f\u7f6e\u63d0\u793a\uff1b<\/li><li>\u63d0\u51fa<strong>\u5168\u5c40-\u5c40\u90e8\u5bf9\u6bd4\u5f0f\u8bed\u8a00-\u97f3\u9891\u9884\u8bad\u7ec3\u6a21\u578b\uff08GLCLAP\uff09<\/strong>\uff0c\u80fd\u591f\u5728\u4e0d\u540c\u5c3a\u5ea6\u4e0a\u63d0\u53d6\u97f3\u9891\u4fe1\u606f\uff0c\u663e\u8457\u63d0\u5347\u53e5\u5185\u504f\u7f6e\u63d0\u793a\u7684\u51c6\u786e\u6027\uff1b<\/li><li>\u5c06\u57fa\u4e8e<strong> GLCLAP \u7684\u504f\u7f6e\u63d0\u793a\u751f\u6210\u7ec4\u4ef6\u96c6\u6210\u5230 ASR \u6a21\u578b<\/strong>\u4e2d\uff0c\u5728\u65e0\u9700\u5fae\u8c03\u7684\u60c5\u51b5\u4e0b\u5bf9\u89e3\u7801\u7ed3\u679c\u8fdb\u884c\u7ea0\u6b63\u3002<\/li><\/ul>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" width=\"1024\" height=\"657\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/01\/image-22-1024x657.png\" alt=\"\" class=\"wp-image-30005\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/01\/image-22-1024x657.png 1024w, http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/01\/image-22-300x192.png 300w, http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/01\/image-22-768x493.png 768w, http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/01\/image-22.png 1157w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h2>Proposed Method<\/h2>\n\n\n\n<h3>Local Subtext Extraction for CLAP<\/h3>\n\n\n\n<p>\u4e3b\u8981\u76ee\u6807\u662f\u5c06\u97f3\u9891\u5d4c\u5165\u4e0e\u4ece\u7528\u6237\u5b9a\u4e49\u7684\u504f\u5411\u5217\u8868\u751f\u6210\u7684\u5d4c\u5165\u8fdb\u884c\u5bf9\u9f50\u3002\u901a\u8fc7\u8ba1\u7b97\u8fd9\u4e9b\u5d4c\u5165\u4e4b\u95f4\u7684\u76f8\u4f3c\u5ea6\uff0c\u53ef\u4ee5\u786e\u5b9a\u63d0\u4f9b\u6700\u4f73\u5339\u914d\u7684\u504f\u5411\u3002\u5982\u56fe1\u6240\u793a\uff0c\u539f\u59cb\u7684CLAP\u6a21\u578b\u65e8\u5728\u6355\u6349\u6574\u4e2a\u97f3\u9891\u548c\u6587\u672c\u8f93\u5165\u7684\u8bed\u4e49\u4fe1\u606f\u3002\u7136\u800c\uff0c\u5b83\u4e0e\u504f\u5411\u8bcd\u68c0\u7d22\u4efb\u52a1\u5e76\u4e0d\u5b8c\u5168\u517c\u5bb9\uff0c\u56e0\u4e3a\u504f\u5411\u8bcd\u901a\u5e38\u662f\u6574\u4e2a\u53e5\u5b50\u7684\u4e00\u90e8\u5206\u3002\u4e3a\u4e86\u514b\u670d\u8fd9\u4e00\u9650\u5236\uff0c\u5bf9\u8bad\u7ec3\u8fc7\u7a0b\u8fdb\u884c\u4e86\u4fee\u6539\u3002\u5177\u4f53\u6765\u8bf4\uff0c\u4ece\u539f\u59cb\u6587\u672c\u6ce8\u91ca\u4e2d\u968f\u673a\u63d0\u53d6\u5b50\u6587\u672c\u3002\u8fd9\u79cd\u65b9\u6cd5\u6709\u52a9\u4e8e\u589e\u5f3a\u6a21\u578b\u5bf9\u53e5\u5b50\u4e2d\u77ed\u8bed\u5883\u7684\u8868\u793a\u80fd\u529b\u3002<\/p>\n\n\n\n<h3>\u5168\u5c40-\u5c40\u90e8\u5bf9\u6bd4\u5b66\u4e60\u6a21\u578b\uff08GLCLAP\uff09<\/h3>\n\n\n\n<p>\u6587\u672c\u5206\u652f\uff1a\u5728\u6587\u672c\u5904\u7406\u65b9\u9762\uff0c\u9664\u4e86\u539f\u59cb\u7684\u5904\u7406\u65b9\u6cd5\uff08\u79f0\u4e3a\u5168\u5c40\u5206\u652f\uff09\uff0c\u8fd8\u6dfb\u52a0\u4e86\u4e00\u4e2a\u5c40\u90e8\u5206\u652f\u6765\u5904\u7406\u5b50\u6587\u672c\u3002\u8bbe<em>ft(.)<\/em>\u4e3a\u6587\u672c\u7f16\u7801\u5668\u3002\u5c40\u90e8\u5206\u652f\u548c\u5168\u5c40\u5206\u652f\u5171\u4eab\u76f8\u540c\u7684\u6743\u91cd\uff0c\u5176\u540e\u5747\u8fde\u63a5\u4e00\u4e2a\u5e73\u5747\u6c60\u5316\u5c42<em>p(.)<\/em>\u4ee5\u964d\u4f4e\u8bcd\u7ef4\u5ea6\u3002\u5168\u5c40\u5206\u652f\u4ece\u5b8c\u6574\u6587\u672c<em>X<sub>t<\/sub> \u2208 R<sup>B\u00d7N<\/sup><\/em> \u4e2d\u6355\u83b7\u5d4c\u5165<em>E<sup>t<\/sup><\/em>\uff0c\u800c\u5c40\u90e8\u5206\u652f\u4e13\u6ce8\u4e8e\u4e3a\u5b50\u6587\u672c<em>Xt\u2032\u2208 R<sup>B\u00d7N\u2032<\/sup><\/em>\u63d0\u53d6\u5d4c\u5165<em>Et&#8217;<\/em>\uff0c\u5176\u4e2d<em>N<\/em>\u8868\u793a\u6587\u672c\u6807\u8bb0<em>N&#8217; \u2264N<\/em>\u7684\u6570\u91cf \uff1a<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/01\/image-30.png\" alt=\"\" class=\"wp-image-30102\" width=\"243\" height=\"55\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/01\/image-30.png 400w, http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/01\/image-30-300x68.png 300w\" sizes=\"(max-width: 243px) 100vw, 243px\" \/><\/figure><\/div>\n\n\n\n<p>\u97f3\u9891\u5206\u652f\uff1a\u97f3\u9891\u8f93\u5165\u662f\u201c\u6885\u5c14\u9891\u8c31\u201d\uff08Mel spectrogram\uff09\uff0c\u7528Data2Vec2.0-large\u5f53\u7f16\u7801\u5668\uff08Transformer\u7ed3\u6784\uff0c\u81ea\u76d1\u7763\u9884\u8bad\u7ec3\u8fc7\uff0c\u652f\u6301\u4e2d\u82f1\uff09\u3002\u8fd9\u91cc\u6709\u4e2a\u5de7\u601d\uff1a<strong>\u5728\u5e73\u5747\u6c60\u5316\u524d\u540e\u90fd\u505a\u5bf9\u6bd4\u5b66\u4e60<\/strong>\u2014\u2014<strong>\u56e0\u4e3a\u97f3\u9891\u7684\u5c40\u90e8\u4fe1\u606f\u662f\u201c\u65f6\u5e8f\u76f8\u5173\u201d\u7684\uff0c\u76f4\u63a5\u6c60\u5316\u4f1a\u4e22\u4fe1\u606f\u3002<\/strong><\/p>\n\n\n\n<ul><li>\u5c40\u90e8\u97f3\u9891embedding\uff08Ea\u2019\uff09\u5305\u542b\u65f6\u5e8f\uff08\u5c40\u90e8\u4fe1\u606f\uff09\uff1a\u7f16\u7801\u5668\u8f93\u51fa\u7684\u539f\u59cb\u7ed3\u679c\uff0c<strong>\u5f62\u72b6[B, T\/\/4, D]<\/strong>\uff08<strong>T\u662f\u97f3\u9891\u5e27\u6570\uff0c\/\/4\u8868\u793a\u7f16\u7801\u5668\u505a\u4e864\u500d\u4e0b\u91c7\u6837\uff09\uff1b<\/strong><\/li><li>\u5168\u5c40\u97f3\u9891embedding\uff08Ea\uff09\u5305\u542b\u5168\u5c40\u4fe1\u606f\uff1a\u5bf9Ea\u2019\u505a\u201c\u65f6\u95f4\u7ef4\u5ea6\u5e73\u5747\u6c60\u5316\u201d\uff0c\u5f62\u72b6[B,D]\u3002<\/li><\/ul>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/01\/image-31.png\" alt=\"\" class=\"wp-image-30109\" width=\"264\" height=\"58\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/01\/image-31.png 579w, http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/01\/image-31-300x66.png 300w\" sizes=\"(max-width: 264px) 100vw, 264px\" \/><\/figure><\/div>\n\n\n\n<p>\u5206\u522b\u5bf9\u6587\u672c\u548c\u97f3\u9891\u7684<strong>\u5c40\u90e8\u8868\u793a<\/strong>\u4e0e<strong>\u5168\u5c40\u8868\u793a<\/strong>\u8ba1\u7b97\u5bf9\u6bd4\u635f\u5931\u3002\u97f3\u9891\u4e0e\u6587\u672c\u5d4c\u5165\u4e4b\u95f4\u7684<strong>\u5168\u5c40\u5bf9\u6bd4\u635f\u5931<\/strong> Lg\u5b9a\u4e49\u4e3a\uff1a<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/01\/image-32.png\" alt=\"\" class=\"wp-image-30111\" width=\"388\" height=\"40\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/01\/image-32.png 709w, http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/01\/image-32-300x32.png 300w\" sizes=\"(max-width: 388px) 100vw, 388px\" \/><\/figure><\/div>\n\n\n\n<p> <strong>\u5c40\u90e8<\/strong> \u6700\u5927\u6c60\u5316\u635f\u5931\uff1a<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/01\/image-33.png\" alt=\"\" class=\"wp-image-30112\" width=\"419\" height=\"43\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/01\/image-33.png 766w, http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/01\/image-33-300x31.png 300w\" sizes=\"(max-width: 419px) 100vw, 419px\" \/><\/figure><\/div>\n\n\n\n<p>\u5176\u4e2d\uff0cmaxt\u200b \u8868\u793a\u6cbf<strong>\u65f6\u95f4\u7ef4\u5ea6<\/strong>\u53d6\u6700\u5927\u503c\u3002<br><em>l(\u22c5)=\u2212B1\u200b\u2211log(diag(softmax(\u22c5)))<\/em>\uff0c\u5176\u4e2d\uff0c <em>diag<\/em> \u8868\u793a\u5728\u5bf9\u77e9\u9635\u5e94\u7528 softmax \u51fd\u6570\u4e4b\u540e\uff0c\u53d6\u5176<strong>\u5bf9\u89d2\u5143\u7d20<\/strong>\u3002\u8be5\u51fd\u6570\u7528\u4e8e\u5ea6\u91cf<strong>\u9884\u6d4b\u5206\u5e03\u4e0e\u76ee\u6807\u5206\u5e03\u4e4b\u95f4\u7684\u76f8\u4f3c\u6027<\/strong>\u3002<\/p>\n\n\n\n<h3>GLCLAP for Contextual Biasing ASR<\/h3>\n\n\n\n<p>GLCLAP \u6a21\u578b\u80fd\u591f\u68c0\u7d22\u51fa\u4e0e\u97f3\u9891\u6700\u5339\u914d\u7684<strong>\u504f\u7f6e\u8bcd<\/strong>\uff0c\u5e76\u5c06\u5176\u4f5c\u4e3a\u63d0\u793a\uff08prompt\uff09\u8f93\u5165 ASR \u6a21\u578b\uff0c\u4ece\u800c\u5e2e\u52a9 ASR \u66f4\u51c6\u786e\u5730\u8bc6\u522b\u90a3\u4e9b<strong>\u5bb9\u6613\u88ab\u8bef\u8bc6\u522b\u7684\u4f4e\u9891\u8bcd<\/strong>\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" width=\"1024\" height=\"356\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/01\/image-34-1024x356.png\" alt=\"\" class=\"wp-image-30119\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/01\/image-34-1024x356.png 1024w, http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/01\/image-34-300x104.png 300w, http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/01\/image-34-768x267.png 768w, http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/01\/image-34.png 1489w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<ol><li>\u5148\u51c6\u5907\u201c\u7528\u6237\u5b9a\u4e49\u7684\u504f\u5411\u8bcd\u5217\u8868\u201d\uff08\u6bd4\u5982[\u201cCatherine\u201d, \u201cKatherine\u201d]\uff09\uff0c\u628a\u8fd9\u4e9b\u8bcd\u8f93\u5165GLCLAP\u7684\u6587\u672c\u5206\u652f\uff0c\u751f\u6210\u6587\u672cembedding\uff08\u5f62\u72b6[K,C]\uff0cK\u662f\u5217\u8868\u957f\u5ea6\uff09\uff1b<\/li><li>\u628a\u8981\u8bc6\u522b\u7684\u97f3\u9891\u8f93\u5165GLCLAP\u7684\u97f3\u9891\u5206\u652f\uff08<strong>\u4e0d\u505a\u5e73\u5747\u6c60\u5316<\/strong>\uff0c\u4fdd\u7559\u65f6\u5e8f\u4fe1\u606f\uff09\uff0c\u5f97\u5230\u5c40\u90e8\u97f3\u9891embedding\uff08E^a\u2019\uff0c\u5f62\u72b6[T,D]\uff09\uff1b<\/li><li>\u7b97\u201c\u76f8\u4f3c\u5ea6\u77e9\u9635\u201d\uff08Sim = \u6587\u672cembedding \u00d7 \u97f3\u9891embedding\u8f6c\u7f6e\uff09\uff0c\u5f62\u72b6[K,T]\u2014\u2014\u6bcf\u4e2a\u5143\u7d20\u4ee3\u8868\u201c\u7b2ck\u4e2a\u504f\u5411\u8bcd\u201d\u548c\u201c\u7b2ct\u5e27\u97f3\u9891\u201d\u7684\u76f8\u4f3c\u5ea6\uff1b<\/li><li>\u5bf9\u76f8\u4f3c\u5ea6\u77e9\u9635\u505a\u201c\u65f6\u95f4\u7ef4\u5ea6max\u6c60\u5316\u201d\uff0c\u5f97\u5230\u4e00\u4e2a[K]\u7684\u5411\u91cf\u2014\u2014\u6bcf\u4e2a\u503c\u662f\u201c\u67d0\u4e2a\u504f\u5411\u8bcd\u548c\u6574\u6bb5\u97f3\u9891\u7684\u6700\u5927\u76f8\u4f3c\u5ea6\u201d\uff1b<\/li><li>\u628a\u8d85\u8fc7\u201c\u9884\u8bbe\u9608\u503c\u201d\u7684\u504f\u5411\u8bcd\u6311\u51fa\u6765\u5f53prompt\uff0c\u548c\u539f\u97f3\u9891\u4e00\u8d77\u5582\u7ed9ASR\uff08\u6bd4\u5982Whisper\uff09\uff0c\u6700\u540e\u5f97\u5230\u66f4\u51c6\u7684\u8bc6\u522b\u7ed3\u679c\u3002<\/li><\/ol>\n\n\n\n<h2>\u5b9e\u9a8c<\/h2>\n\n\n\n<h3>\u5173\u952e\u53c2\u6570<\/h3>\n\n\n\n<ul><li>\u5b66\u4e60\u7387\uff1a5e-4\uff1b<\/li><li>batch size\uff1a64\uff1b<\/li><li>\u8bad\u7ec3\u8f6e\u6b21\uff1a100\u8f6e\uff08\u65e9\u505c\u9632\u8fc7\u62df\u5408\uff09\uff1b<\/li><li>\u5bf9\u6bd4\u6a21\u578b\uff1aBase ASR\uff08Conformer\u67b6\u6784\uff0c1.3\u4ebf\u53c2\u6570\uff0c\u8bad\u8fc74\u4e2a\u8bad\u7ec3\u96c6\uff09\u3001Base CLAP\u3001Subtext CLAP\uff08\u53ea\u52a0\u4e86\u5b50\u6587\u672c\u63d0\u53d6\u7684CLAP\uff09\u3001LCLAP\uff08\u53ea\u7b97\u5c40\u90e8\u635f\u5931\uff09\u3002<\/li><\/ul>\n\n\n\n<p><strong>\u97f3\u9891\u7f16\u7801\u5668\uff08Audio Encoder\uff09<\/strong><br>\u6211\u4eec\u91c7\u7528\u4e0e Data2Vec2.0-large \u76f8\u540c\u7684\u7f51\u7edc\u7ed3\u6784\u548c\u9884\u8bad\u7ec3\u65b9\u5f0f\u3002\u5177\u4f53\u800c\u8a00\uff0c\u4f7f\u7528\u7684\u662f <strong>Data2VecAudioModel<\/strong>\uff0c\u8fd9\u662f\u4e00\u79cd\u57fa\u4e8e Transformer \u7684\u67b6\u6784\uff0c\u4e13\u95e8\u7528\u4e8e\u8bed\u97f3\u8868\u793a\u7684\u81ea\u76d1\u7763\u5b66\u4e60\u3002\u8be5\u6a21\u578b\u5728\u4e00\u4e2a\u79c1\u6709\u6570\u636e\u96c6\u4e0a\u8fdb\u884c\u4e86\u9884\u8bad\u7ec3\uff0c\u6570\u636e\u96c6\u540c\u65f6\u5305\u542b\u82f1\u6587\u548c\u4e2d\u6587\u8bed\u97f3\u6570\u636e\u3002<\/p>\n\n\n\n<p><strong>\u6587\u672c\u7f16\u7801\u5668\uff08Text Encoder\uff09<\/strong><br>\u6587\u672c\u7f16\u7801\u5668\u521d\u59cb\u5316\u4e3a <strong>bert-base-multilingual-uncased<\/strong>\u3002\u8be5\u6a21\u578b\u7531 12 \u5c42 Transformer \u7ec4\u6210\uff0c\u80fd\u591f\u6709\u6548\u5730\u6355\u83b7\u6587\u672c\u4e2d\u7684\u4e0a\u4e0b\u6587\u4fe1\u606f \u3002<\/p>\n\n\n\n<h3>\u8bc4\u4f30\u6307\u6807<\/h3>\n\n\n\n<ul><li>\u504f\u5411\u8bcd\u68c0\u7d22\uff1a\u7528\u201cTop-1\u53ec\u56de\u7387\u201d\uff08\u627e\u5bf9\u6700\u5339\u914d\u7684\u504f\u5411\u8bcd\u7684\u6bd4\u4f8b\uff09\u548c\u201cF1\u5206\u6570\u201d\uff1b<\/li><li>ASR\u6027\u80fd\uff1a\u7528\u201c\u8bcd\u9519\u8bef\u7387\uff08WER\uff09\u201d\u2014\u2014\u8d8a\u4f4e\u8d8a\u597d\u3002<\/li><\/ul>\n\n\n\n<p>\uff081\uff09\u504f\u5411\u8bcd\u68c0\u7d22\u6548\u679c\uff08\u88681\uff09\u5bf9\u6bd4\u4e0d\u540c\u6a21\u578b\u7684Top-1\u53ec\u56de\u7387\uff08%\uff09<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/01\/image-35.png\" alt=\"\" class=\"wp-image-30122\" width=\"374\" height=\"314\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/01\/image-35.png 705w, http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/01\/image-35-300x252.png 300w\" sizes=\"(max-width: 374px) 100vw, 374px\" \/><\/figure><\/div>\n\n\n\n<ul><li>Base ASR\u548cBase CLAP\u6548\u679c\u90fd\u5dee\uff0c\u5c24\u5176\u662fBase CLAP\u5728STOP2\u4e0a\u624d19.4%\uff1b<\/li><li>\u52a0\u4e86\u201c\u5b50\u6587\u672c\u63d0\u53d6\u201d\u540e\u660e\u663e\u63d0\u5347\uff0c\u8bf4\u660e\u5c40\u90e8\u4fe1\u606f\u6709\u7528\uff1b<\/li><li>LCLAP\u5df2\u7ecf\u6bd4Base\u597d\u5f88\u591a\uff0c\u518d\u52a0\u4e0a\u201c\u5168\u5c40\u5206\u652f\u201d\u7684GLCLAP\uff0c\u76f4\u63a5\u51b2\u523097%\u5de6\u53f3\uff0c\u4e0d\u7ba1\u662f\u4eba\u540d\u8fd8\u662f\u5730\u540d\u573a\u666f\u90fd\u7a33\u8d62\u3002<\/li><\/ul>\n\n\n\n<p>\u8fd8\u6709\u88682\uff08Aishell-1 test NT\u7684F1\uff09\uff1a<\/p>\n\n\n\n<ul><li>SeACo-Paraformer\uff08\u4f20\u7edf\u504f\u5411\u6a21\u578b\uff09\uff1a96%\uff1b<\/li><li>LCLAP\uff1a96%\uff08\u6253\u5e73\uff09\uff1b<\/li><li>GLCLAP\uff1a96.96%\uff08+0.96%\uff09\u2014\u2014\u6bd4\u4f20\u7edf\u6a21\u578b\u8fd8\u5f3a\u4e00\u70b9\u3002<\/li><\/ul>\n\n\n\n<p>\u591a\u6a21\u6001\u5bf9\u9f50\u6548\u679c\uff08\u56fe4\uff09\uff1a\u5c40\u90e8\u5339\u914d\u5f88\u51c6<\/p>\n\n\n\n<figure class=\"wp-block-image size-full is-resized\"><img loading=\"lazy\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/01\/image-36.png\" alt=\"\" class=\"wp-image-30125\" width=\"321\" height=\"358\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/01\/image-36.png 631w, http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/01\/image-36-269x300.png 269w\" sizes=\"(max-width: 321px) 100vw, 321px\" \/><\/figure>\n\n\n\n<ul><li>\u56fe4a\uff08\u8bcd\u7ea7\uff09\uff1a\u6bcf\u4e2a\u8bcd\uff08\u6bd4\u5982\u201cNEW\u201d\u201cYORK\u201d\uff09\u90fd\u80fd\u548c\u97f3\u9891\u91cc\u5bf9\u5e94\u7684\u65f6\u5e8f\u7247\u6bb5\u5bf9\u9f50\uff0c\u76f8\u4f3c\u5ea6\u9ad8\u7684\u5730\u65b9\u5f88\u96c6\u4e2d\uff1b<\/li><li>\u56fe4b\uff08\u77ed\u8bed\u7ea7\uff09\uff1a\u201cNEW YORK CITY\u201d\u8fd9\u79cd\u77ed\u8bed\u4e5f\u80fd\u51c6\u786e\u5339\u914d\u97f3\u9891\u7247\u6bb5\uff0c\u4e0d\u4f1a\u8ddf\u5176\u4ed6\u90e8\u5206\u6df7\uff1b<\/li><li>\u56fe4c\uff08\u97f3\u9891-\u6587\u672c\u5bf9\u9f50\uff09\uff1a\u5373\u4f7f\u6587\u672c\u6709\u5c0f\u9519\u8bef\uff08\u6bd4\u5982\u201cEVETS\u201d\u201cYOR\u201d\uff09\uff0c\u97f3\u9891\u8fd8\u662f\u80fd\u548c\u6b63\u786e\u7684\u6587\u672c\u7247\u6bb5\u5bf9\u9f50\u2014\u2014\u8bf4\u660eGLCLAP\u7684\u5c40\u90e8\u5339\u914d\u80fd\u529b\u5f88\u7a33\uff0c\u4e0d\u4f1a\u56e0\u4e3a\u6587\u672c\u5c0f\u9519\u8dd1\u504f\u3002<\/li><\/ul>\n\n\n\n<p>\u5bf9\u6bd4Whisper Small\u52a0\u4e0d\u540cprompt\u6a21\u5757\u7684WER\uff08%\uff09\uff1a<\/p>\n\n\n\n<figure class=\"wp-block-image size-full is-resized\"><img loading=\"lazy\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/01\/image-37.png\" alt=\"\" class=\"wp-image-30129\" width=\"399\" height=\"196\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/01\/image-37.png 669w, http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/01\/image-37-300x147.png 300w\" sizes=\"(max-width: 399px) 100vw, 399px\" \/><\/figure>\n\n\n\n<p>\u8fd9\u7bc7\u8bba\u6587\u6700\u6838\u5fc3\u7684\u8d21\u732e\u662f\uff1a<strong>\u7528\u201c\u5168\u5c40+\u5c40\u90e8\u5bf9\u6bd4\u5b66\u4e60\u201d\u89e3\u51b3\u4e86ASR\u4e0a\u4e0b\u6587\u504f\u5411\u7684\u201cprompt\u5339\u914d\u201d\u95ee\u9898<\/strong><\/p>\n\n\n\n<ol><li>\u4e0d\u7528\u4f9d\u8d56\u53d1\u97f3\u8bcd\u5178\uff0c\u4e5f\u4e0d\u7528\u6539ASR\u6a21\u578b\u3001\u505a\u5fae\u8c03\uff0c\u76f4\u63a5\u52a0\u4e2a\u72ec\u7acb\u7684GLCLAP\u6a21\u5757\u5c31\u884c\uff0c\u7075\u6d3b\u53c8\u7701\u8d44\u6e90\uff1b<\/li><li>\u4e0d\u7ba1\u662f\u4e2d\u6587\u8fd8\u662f\u82f1\u6587\uff0c\u4e0d\u7ba1\u662f\u4eba\u540d\u8fd8\u662f\u5730\u540d\uff0cGLCLAP\u7684\u504f\u5411\u8bcd\u68c0\u7d22 accuracy\u90fd\u5f88\u9ad8\uff0c\u8fd8\u80fd\u5b9e\u5b9e\u5728\u5728\u964d\u4f4eASR\u7684WER\uff1b<\/li><li>\u7ed9\u5927\u6a21\u578b\u65f6\u4ee3\u7684ASR\u4e2a\u6027\u5316\u63d0\u4f9b\u4e86\u65b0\u601d\u8def\uff1a\u7528\u591a\u6a21\u6001\u9884\u8bad\u7ec3\u505a\u68c0\u7d22\u589e\u5f3a\uff0c\u6bd4\u4f20\u7edf\u65b9\u6cd5\u66f4\u9ad8\u6548\u3002<\/li><\/ol>\n","protected":false},"excerpt":{"rendered":"<p>GLCLAP: A Novel Contrastive Learning Pre-trained Model  &hellip; <a href=\"http:\/\/139.9.1.231\/index.php\/2026\/01\/24\/glclap-hw\/\" class=\"more-link\">\u7ee7\u7eed\u9605\u8bfb<span class=\"screen-reader-text\">GLCLAP\uff1a\u7528\u4e8eASR\u70ed\u8bcd\u68c0\u7d22\u7684\u5bf9\u6bd4\u5b66\u4e60\u9884\u8bad\u7ec3\u6a21\u578b<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[42,4,9,38,43,34],"tags":[],"_links":{"self":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/29997"}],"collection":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/comments?post=29997"}],"version-history":[{"count":40,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/29997\/revisions"}],"predecessor-version":[{"id":30131,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/29997\/revisions\/30131"}],"wp:attachment":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/media?parent=29997"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/categories?post=29997"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/tags?post=29997"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}