{"id":31495,"date":"2026-08-11T22:34:00","date_gmt":"2026-08-11T14:34:00","guid":{"rendered":"http:\/\/139.9.1.231\/?p=31495"},"modified":"2026-08-11T16:35:12","modified_gmt":"2026-08-11T08:35:12","slug":"speech-llm-integration-for-asr","status":"publish","type":"post","link":"http:\/\/139.9.1.231\/index.php\/2026\/08\/11\/speech-llm-integration-for-asr\/","title":{"rendered":"\u8bed\u97f3-LLM \u878d\u5408\u518d\u601d\u8003\uff1a\u901a\u8fc7\u4ea4\u9519\u9884\u8bad\u7ec3\u5b9e\u73b0\u9ad8\u6548\u7684\u8bed\u97f3-\u6587\u672c\u8054\u5408\u5b66\u4e60"},"content":{"rendered":"\n<p>Rethinking Speech-LLM Integration for ASR: Effective Joint Speech-Text Training by Interleaving<\/p>\n\n\n\n<p>\u6838\u5fc3\u4eae\u70b9: \u672c\u6587\u91cd\u65b0\u5ba1\u89c6\u4e86\u8bed\u97f3-LLM\u878d\u5408\u5728\u81ea\u52a8\u8bed\u97f3\u8bc6\u522b\uff08ASR\uff09\u4e2d\u7684\u5c40\u9650\uff0c\u6307\u51fa\u5728\u5145\u8db3\u7684\u6709\u76d1\u7763\u6570\u636e\u4e0b\uff0cLLM\u7684\u5148\u9a8c\u77e5\u8bc6\u672a\u88ab\u5145\u5206\u5229\u7528\uff1b\u4e3a\u6b64\u63d0\u51fa\u4e86\u4e00\u79cd<strong>\u9762\u5411ASR\u7684\u8054\u5408\u8bed\u97f3-\u6587\u672c\u4ea4\u9519\u9884\u8bad\u7ec3\u7b56\u7565\uff08JSTIP\uff09\uff0c\u901a\u8fc7\u5728\u8bcd\u548c\u7247\u6bb5\u7ea7\u522b\u4ea4\u9519\u6784\u5efa\u8bed\u97f3-\u6587\u672c\u5e8f\u5217\uff0c\u6709\u6548\u4fdd\u7559\u4e86LLM\u7684\u751f\u6210\u5148\u9a8c\u5e76\u7f29\u5c0f\u4e86\u6a21\u6001\u5dee\u8ddd\uff0c\u572838k\u5c0f\u65f6\u7684ASR\u6570\u636e\u4e0a\u5b9e\u4f53\u51c6\u786e\u7387\u663e\u8457\u63d0\u5347\uff0c\u4e14\u4ec5\u7528\u8f6c\u5f55\u6587\u672c\u5373\u53ef\u5728\u533b\u7597\u7b49\u9886\u57df\u5b9e\u73b0\u4e0e\u5408\u6210\u8bed\u97f3\u5bf9\u76f8\u5f53\u7684\u9886\u57df\u81ea\u9002\u5e94\u6548\u679c\u3002<\/strong><\/p>\n\n\n\n<p class=\"has-dark-brown-color has-light-pink-background-color has-text-color has-background\"><strong>\u5b9e\u9a8c\u53d1\u73b0\uff1a<\/strong><em><strong>\u7eaf\u6587\u672c\u6570\u636e\u53ef\u4ee5\u660e\u663e\u6539\u5584 Text-to-Text \u8868\u73b0\uff0c\u5374\u5f88\u96be\u540c\u6b65\u6539\u5584 Speech-to-Text \u8868\u73b0\u3002\u8fd9\u8bf4\u660e\u77e5\u8bc6\u5df2\u7ecf\u5199\u5165 LLM\uff0c\u4f46\u8bed\u97f3\u8f93\u5165\u4ecd\u65e0\u6cd5\u6709\u6548\u8bbf\u95ee\u8fd9\u4e9b\u77e5\u8bc6\uff0c\u6839\u6e90\u5728\u4e8e\u8bed\u97f3\u548c\u6587\u672c\u4e24\u79cd\u8f93\u5165\u6a21\u5f0f\u4e4b\u95f4\u5b58\u5728\u6a21\u6001\u5dee\u8ddd\u3002 \u4e0d\u518d\u628a ASR \u6570\u636e\u548c\u7eaf\u6587\u672c\u6570\u636e\u4f5c\u4e3a\u5f7c\u6b64\u72ec\u7acb\u7684 batch \u6df7\u5408\u8bad\u7ec3\uff0c\u800c\u662f\u5728\u4e00\u6761\u5df2\u7ecf\u5bf9\u9f50\u7684\u8bed\u97f3-\u6587\u672c\u6837\u672c\u5185\u90e8\u4ea4\u66ff\u6392\u5217\u8bed\u97f3\u7247\u6bb5\u548c\u6587\u672c\u7247\u6bb5\uff0c\u8ba9\u540c\u4e00\u4e2a Decoder-only LLM \u53cd\u590d\u5b66\u4e60\u201c\u5728\u8bed\u97f3\u4e0a\u4e0b\u6587\u540e\u9884\u6d4b\u6587\u672c\u201d\u548c\u201c\u5728\u6587\u672c\u4e0a\u4e0b\u6587\u540e\u9884\u6d4b\u6587\u672c\u201d\u3002<\/strong><\/em><\/p>\n\n\n\n<p><strong>\u8bba\u6587\u94fe\u63a5: <a rel=\"noreferrer noopener\" href=\"https:\/\/arxiv.org\/pdf\/2607.01733v1\" target=\"_blank\">https:\/\/arxiv.org\/pdf\/2607.01733v1<\/a><\/strong><\/p>\n\n\n\n<p>\u628a\u9884\u8bad\u7ec3\u5927\u8bed\u8a00\u6a21\u578b\u63a5\u5230\u8bed\u97f3\u7f16\u7801\u5668\u4e4b\u540e\uff0cASR \u662f\u5426\u771f\u7684\u5229\u7528\u4e86 LLM \u5728\u6d77\u91cf\u6587\u672c\u4e2d\u5b66\u5230\u7684\u77e5\u8bc6\uff1f\u8fd9\u7bc7\u8bba\u6587\u7ed9\u51fa\u7684\u7b54\u6848\u5e76\u4e0d\u4e50\u89c2\uff1a\u5f53\u76d1\u7763\u8bed\u97f3\u6570\u636e\u8db3\u591f\u591a\u65f6\uff0c\u6a21\u578b\u5f88\u5bb9\u6613\u9000\u5316\u6210\u4e00\u4e2a\u4e3b\u8981\u4f9d\u8d56\u8bed\u97f3-\u6587\u672c\u914d\u5bf9\u6570\u636e\u7684\u8bc6\u522b\u5668\uff1b\u5373\u4f7f\u989d\u5916\u6df7\u5165\u5927\u91cf\u6587\u672c\uff0c\u6587\u672c\u4fa7\u80fd\u529b\u4e5f\u4e0d\u4e00\u5b9a\u80fd\u591f\u8fc1\u79fb\u5230\u8bed\u97f3\u8f93\u5165\u3002<\/p>\n\n\n\n<p>\u4f5c\u8005\u63d0\u51fa Joint Speech-Text Interleaved Pretraining\uff0c\u7b80\u79f0 JSTIP\u3002\u5b83\u4e0d\u518d\u628a ASR \u6570\u636e\u548c\u7eaf\u6587\u672c\u6570\u636e\u4f5c\u4e3a\u5f7c\u6b64\u72ec\u7acb\u7684 batch \u6df7\u5408\u8bad\u7ec3\uff0c\u800c\u662f\u5728\u4e00\u6761\u5df2\u7ecf\u5bf9\u9f50\u7684\u8bed\u97f3-\u6587\u672c\u6837\u672c\u5185\u90e8\u4ea4\u66ff\u6392\u5217\u8bed\u97f3\u7247\u6bb5\u548c\u6587\u672c\u7247\u6bb5\uff0c\u8ba9\u540c\u4e00\u4e2a Decoder-only LLM \u53cd\u590d\u5b66\u4e60\u201c\u5728\u8bed\u97f3\u4e0a\u4e0b\u6587\u540e\u9884\u6d4b\u6587\u672c\u201d\u548c\u201c\u5728\u6587\u672c\u4e0a\u4e0b\u6587\u540e\u9884\u6d4b\u6587\u672c\u201d\u3002\u5b9e\u9a8c\u8868\u660e\uff0c\u8fd9\u79cd\u7ed3\u6784\u5316\u4ea4\u9519\u6bd4\u666e\u901a\u8054\u5408\u8bad\u7ec3\u66f4\u80fd\u4fdd\u7559 LLM \u7684\u751f\u6210\u5148\u9a8c\uff0c\u5e76\u6539\u5584\u533b\u7597\u5b9e\u4f53\u8bc6\u522b\u548c\u96f6\u6837\u672c\u8bed\u97f3\u95ee\u7b54\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" width=\"1024\" height=\"500\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/08\/image-11-1024x500.png\" alt=\"\" class=\"wp-image-31543\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/08\/image-11-1024x500.png 1024w, http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/08\/image-11-300x146.png 300w, http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/08\/image-11-768x375.png 768w, http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/08\/image-11.png 1213w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><figcaption><em>Fig. 1\uff0c\u4f20\u7edf Speech-LLM \u4e0e JSTIP \u4ea4\u9519\u9884\u8bad\u7ec3\u6846\u67b6\u5bf9\u6bd4\u3002<\/em><\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">\u4e00\u3001\u8bba\u6587\u53d1\u73b0\u7684\u6838\u5fc3\u95ee\u9898<\/h2>\n\n\n\n<p>\u5178\u578b Speech-LLM \u7531\u8bed\u97f3\u7f16\u7801\u5668\u3001\u6a21\u6001\u9002\u914d\u5668\u548c Decoder-only LLM \u7ec4\u6210\u3002\u8bed\u97f3\u88ab\u7f16\u7801\u4e3a\u8fde\u7eed\u5411\u91cf\u5e76\u6295\u5f71\u5230 LLM \u7684\u5d4c\u5165\u7a7a\u95f4\uff0c\u6a21\u578b\u968f\u540e\u751f\u6210\u8f6c\u5199\u6587\u672c\u3002<\/p>\n\n\n\n<p>\u4f20\u7edf ASR \u8bad\u7ec3\u53ea\u5728\u76ee\u6807\u8f6c\u5199 Token \u4e0a\u8ba1\u7b97\u4ea4\u53c9\u71b5\uff1a<\/p>\n\n\n\n\\(\n\\mathcal{L}_{\\mathrm{ASR}}=-\\sum_{i=1}^{N}\\log P(t_i\\mid A,t_{&lt;i})\n\\)\n\n\n\n<p>\u5176\u4e2d \\(A\\) \u662f\u8bed\u97f3\u8868\u793a\uff0c\\(t_{&lt;i}\\) \u662f\u5df2\u7ecf\u751f\u6210\u7684\u6587\u672c\u3002\u968f\u7740 ASR \u6570\u636e\u589e\u52a0\uff0cLLM \u4f1a\u9010\u6e10\u4e13\u95e8\u5316\u4e3a\u201c\u8bed\u97f3\u6761\u4ef6\u4e0b\u7684\u4e0b\u4e00\u4e2a Token \u9884\u6d4b\u5668\u201d\uff0c\u539f\u672c\u4ece\u6587\u672c\u9884\u8bad\u7ec3\u4e2d\u83b7\u5f97\u7684\u77e5\u8bc6\u548c\u5f00\u653e\u5f0f\u751f\u6210\u80fd\u529b\u53cd\u800c\u88ab\u524a\u5f31\u3002<\/p>\n\n\n\n<p><strong>\u76f4\u63a5\u5728\u8bad\u7ec3\u4e2d\u6df7\u5165\u7eaf\u6587\u672c\u4e5f\u4e0d\u80fd\u5f7b\u5e95\u89e3\u51b3\u95ee\u9898\u3002\u8bba\u6587\u53d1\u73b0\uff0c\u7eaf\u6587\u672c\u6570\u636e\u53ef\u4ee5\u660e\u663e\u6539\u5584 Text-to-Text \u8868\u73b0\uff0c\u5374\u5f88\u96be\u540c\u6b65\u6539\u5584 Speech-to-Text \u8868\u73b0\u3002\u8fd9\u8bf4\u660e\u77e5\u8bc6\u5df2\u7ecf\u5199\u5165 LLM\uff0c\u4f46\u8bed\u97f3\u8f93\u5165\u4ecd\u65e0\u6cd5\u6709\u6548\u8bbf\u95ee\u8fd9\u4e9b\u77e5\u8bc6\uff0c\u6839\u6e90\u5728\u4e8e\u8bed\u97f3\u548c\u6587\u672c\u4e24\u79cd\u8f93\u5165\u6a21\u5f0f\u4e4b\u95f4\u5b58\u5728\u6a21\u6001\u5dee\u8ddd\u3002<\/strong><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u4e8c\u3001JSTIP \u7684\u6a21\u578b\u4e0e\u8bad\u7ec3\u6846\u67b6<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">1. \u57fa\u7840 Speech-LLM<\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>\u7ec4\u4ef6<\/th><th>\u8bbe\u8ba1<\/th><\/tr><\/thead><tbody><tr><td>\u8bed\u97f3\u7f16\u7801\u5668<\/td><td>400M Conformer\uff0c\u65f6\u95f4\u4e0b\u91c7\u6837\u500d\u7387\u4e3a 8<\/td><\/tr><tr><td>\u8f93\u5165\u7279\u5f81<\/td><td>80\u7ef4 Log-Mel\uff0c10 ms \u5e27\u79fb\uff0c\u8fdb\u5165 LLM \u540e\u7ea6\u4e3a 80 ms \u4e00\u4e2a\u8bed\u97f3 Token<\/td><\/tr><tr><td>\u6a21\u6001\u9002\u914d\u5668<\/td><td>\u7ea620M\u53c2\u6570\uff0c\u5c06\u8bed\u97f3\u8868\u793a\u6620\u5c04\u5230 LLM \u9690\u7a7a\u95f4<\/td><\/tr><tr><td>\u8bed\u8a00\u6a21\u578b<\/td><td>\u5185\u90e87B Decoder-only LLM\uff0c\u9884\u8bad\u7ec3\u4f7f\u7528\u7ea65T\u6587\u672c Token<\/td><\/tr><tr><td>\u4e0a\u4e0b\u6587\u957f\u5ea6<\/td><td>8K\uff0c\u4f7f\u7528 Packed SFT \u548c FlashAttention \u8fb9\u754c\u4fe1\u606f\u9632\u6b62\u6837\u672c\u95f4\u6cc4\u6f0f<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>\u8bad\u7ec3\u5206\u4e3a\u4e24\u4e2a\u9636\u6bb5\u3002\u7b2c\u4e00\u9636\u6bb5\u53ea\u8bad\u7ec3\u9002\u914d\u5668\uff0c\u4f7f\u7528\u7ea6 10% \u7684 ASR Token \u7a33\u5b9a\u8de8\u6a21\u6001\u5bf9\u9f50\uff0c\u5b66\u4e60\u7387\u4e3a \\(1\\times10^{-4}\\)\uff1b\u7b2c\u4e8c\u9636\u6bb5\u8054\u5408\u8bad\u7ec3\u8bed\u97f3\u7f16\u7801\u5668\u3001\u9002\u914d\u5668\u548c LLM\uff0c\u5b66\u4e60\u7387\u4e3a \\(4\\times10^{-5}\\)\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">2. \u5728\u5355\u6761\u6837\u672c\u5185\u90e8\u4ea4\u9519\u8bed\u97f3\u548c\u6587\u672c<\/h3>\n\n\n\n<p>\u5bf9\u4e8e\u5df2\u7ecf\u5bf9\u9f50\u7684\u8bed\u97f3 \\(A\\) \u548c\u6587\u672c \\(T\\)\uff0c\u5148\u5c06\u5176\u62c6\u5206\u4e3a\u4e00\u7ec4\u5bf9\u5e94\u7247\u6bb5\uff1a<\/p>\n\n\n\n\\(\n(A,T)=\\{(A_1,T_1),(A_2,T_2),\\ldots,(A_n,T_n)\\}\n\\)\n\n\n\n<p>\u968f\u540e\u4ea4\u66ff\u9009\u62e9\u8bed\u97f3\u548c\u6587\u672c\u7247\u6bb5\uff0c\u4f8b\u5982\uff1a<\/p>\n\n\n\n\\(\n\\langle s\\rangle,A_1,\\langle N\\rangle,T_2,\\langle N\\rangle,A_3,\n\\langle N\\rangle,T_4,\\ldots,\\langle N\\rangle,T_n,\\langle\/ s\\rangle\n\\)\n\n\n\n<p>\u8bba\u6587\u540c\u65f6\u6784\u9020\u4ece\u8bed\u97f3\u5f00\u59cb\u548c\u4ece\u6587\u672c\u5f00\u59cb\u7684\u4e24\u79cd\u4ea4\u9519\u5f62\u5f0f\uff0c\u4f46\u6700\u540e\u4e00\u4e2a\u7247\u6bb5\u59cb\u7ec8\u662f\u6587\u672c\u3002\u635f\u5931\u53ea\u8ba1\u7b97\u6587\u672c\u4f4d\u7f6e\uff0c\u8bed\u97f3\u5411\u91cf\u548c\u4efb\u52a1\u6807\u8bb0\u4e0d\u53c2\u4e0e\u635f\u5931\u3002\u8fd9\u6837\u53ef\u4ee5\u8feb\u4f7f LLM \u5728\u4e24\u79cd\u6a21\u6001\u4e0a\u4e0b\u6587\u540e\u4fdd\u6301\u76f8\u4f3c\u7684\u6587\u672c\u9884\u6d4b\u884c\u4e3a\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">3. Word-Interleave \u4e0e Segment-Interleave<\/h3>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>\u8bcd\u7ea7\u4ea4\u9519\uff1a<\/strong>\u6bcf\u4e2a\u5355\u8bcd\u53ca\u5176\u5bf9\u5e94\u8bed\u97f3\u533a\u95f4\u6784\u6210\u6700\u5c0f\u5355\u5143\uff0c\u8bed\u97f3\u548c\u6587\u672c\u5207\u6362\u6700\u9891\u7e41\uff0c\u8de8\u6a21\u6001\u8026\u5408\u66f4\u52a0\u7d27\u5bc6\u3002<\/li><li><strong>\u7247\u6bb5\u7ea7\u4ea4\u9519\uff1a<\/strong>\u6309\u7167\u9759\u97f3\u6216\u6807\u70b9\u5c06\u8fde\u7eed\u5355\u8bcd\u5408\u5e76\u6210\u77ed\u8bed\u6216\u53e5\u5b50\u7ea7\u7247\u6bb5\uff0c\u66f4\u5f3a\u8c03\u957f\u8ddd\u79bb\u8bed\u4e49\u4e00\u81f4\u6027\uff0c\u4e5f\u66f4\u80fd\u5bb9\u5fcd\u5c40\u90e8\u5bf9\u9f50\u8bef\u5dee\u3002<\/li><li><strong>\u6df7\u5408\u4ea4\u9519\uff1a<\/strong>\u540c\u65f6\u4f7f\u7528\u8bcd\u7ea7\u548c\u7247\u6bb5\u7ea7\u5e8f\u5217\uff0c\u517c\u987e\u5b9e\u4f53\u7ea7\u7ec6\u7c92\u5ea6\u5bf9\u9f50\u4e0e\u957f\u8ddd\u79bb\u6a21\u6001\u4e00\u81f4\u6027\u3002<\/li><\/ul>\n\n\n\n<p>\u8bcd\u7ea7\u4ea4\u9519\u5982\u679c\u9010\u8bcd\u72ec\u7acb\u8fd0\u884c\u8bed\u97f3\u7f16\u7801\u5668\uff0c\u4f1a\u9020\u6210\u4e25\u91cd\u7684\u96f6\u586b\u5145\u548c\u663e\u5b58\u6d6a\u8d39\u3002\u4f5c\u8005\u5148\u628a\u6240\u6709\u8bed\u97f3\u5c0f\u7247\u6bb5\u62fc\u63a5\u6210\u4e00\u6761\u957f\u5e8f\u5217\uff0c\u4e00\u6b21\u5b8c\u6210\u7f16\u7801\u548c\u9002\u914d\u5668\u524d\u5411\u8ba1\u7b97\uff0c\u518d\u6309\u7167\u539f\u59cb\u4f4d\u7f6e\u91cd\u65b0\u63d2\u56de\u4ea4\u9519\u5e8f\u5217\uff0c\u4f7f\u8bcd\u7ea7\u4ea4\u9519\u80fd\u591f\u6269\u5c55\u5230\u5927\u89c4\u6a21\u8bad\u7ec3\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u4e09\u3001\u8bad\u7ec3\u4e0e\u8bc4\u6d4b\u6570\u636e<\/h2>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>\u6570\u636e<\/th><th>\u89c4\u6a21<\/th><th>\u7528\u9014<\/th><\/tr><\/thead><tbody><tr><td>\u5185\u90e8\u82f1\u6587 ASR<\/td><td>38,000\u5c0f\u65f6\uff0c\u7ea62.3B\u8bed\u97f3Token<\/td><td>\u901a\u7528ASR\u548c\u4ea4\u9519\u9884\u8bad\u7ec3<\/td><\/tr><tr><td>\u533b\u7597\u9886\u57df\u5408\u6210ASR<\/td><td>9,000\u5c0f\u65f6<\/td><td>GPT\u751f\u6210\u5b9e\u4f53\u4e30\u5bcc\u6587\u672c\uff0c\u518d\u7531\u5185\u90e8TTS\u5408\u6210\u8bed\u97f3<\/td><\/tr><tr><td>PubMed\u6458\u8981<\/td><td>2.3B\u6587\u672cToken<\/td><td>\u533b\u7597\u9886\u57df\u6587\u672c\u77e5\u8bc6<\/td><\/tr><tr><td>TTS\u8f6c\u5199\u6587\u672c<\/td><td>0.1B\u6587\u672cToken<\/td><td>\u9a8c\u8bc1\u7eaf\u9886\u57df\u6587\u672c\u80fd\u5426\u66ff\u4ee3\u5408\u6210\u8bed\u97f3<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>38,000 \u5c0f\u65f6 ASR \u6570\u636e\u901a\u8fc7 HMM \u6df7\u5408\u7cfb\u7edf\u83b7\u5f97\u8bcd\u7ea7\u5bf9\u9f50\uff0c\u5bf9\u9f50\u5931\u8d25\u7684\u6837\u672c\u4f1a\u88ab\u5220\u9664\uff0c\u4f46\u4e0d\u518d\u6839\u636e\u7f6e\u4fe1\u5ea6\u8fdb\u884c\u989d\u5916\u8fc7\u6ee4\u3002\u7247\u6bb5\u7ea7\u8fb9\u754c\u7531\u9759\u97f3\u6216\u201c\u9759\u97f3\u52a0\u6807\u70b9\u201d\u5171\u540c\u786e\u5b9a\uff0c\u6bcf\u6b21\u5b9e\u9a8c\u4f7f\u7528\u7ea6 2.3B \u4e2a\u4ea4\u9519 Token\uff0c\u4ee5\u4fbf\u548c ASR \u6570\u636e\u89c4\u6a21\u4fdd\u6301\u5e73\u8861\u3002<\/p>\n\n\n\n<p>\u901a\u7528 ASR \u4f7f\u7528\u5185\u90e8 conversation \u548c dictation \u6d4b\u8bd5\u96c6\uff0c\u6307\u6807\u4e3a TER\uff0c\u5927\u5c0f\u5199\u548c\u6807\u70b9\u4e5f\u8ba1\u5165\u9519\u8bef\u3002\u9886\u57df\u5b9e\u4f53\u6d4b\u8bd5\u8986\u76d6 8 \u4e2a\u533b\u7597\u9886\u57df\u548c 1 \u4e2a\u94f6\u884c\u9886\u57df\uff1a\u533b\u7597\u96c6\u5408\u5171 261 \u6761\u300149.281 \u5c0f\u65f6\uff0c\u94f6\u884c\u96c6\u5408\u5171 36 \u6761\u30015.567 \u5c0f\u65f6\u3002\u5b9e\u4f53\u6307\u6807 EER \u5b9a\u4e49\u4e3a\uff1a<\/p>\n\n\n\n\\(\n\\mathrm{EER}=1-\\mathrm{Recall}_{\\mathrm{entity}}\n\\)\n\n\n\n<p>\u6b64\u5916\uff0c\u8bba\u6587\u628a MMLU \u8f6c\u6362\u6210\u8bed\u97f3\u7248\u672c\uff0c\u6bd4\u8f83 Text-to-Text \u4e0e Speech-to-Text \u7684 5-shot \u51c6\u786e\u7387\uff1b\u5e76\u5728 LLaMA-QA\u3001TriviaQA \u548c WebQA \u4e0a\u8bc4\u4f30\u96f6\u6837\u672c\u8bed\u97f3\u95ee\u7b54\uff0c\u4ee5\u89c2\u5bdf LLM \u7684\u5f00\u653e\u5f0f\u751f\u6210\u5148\u9a8c\u662f\u5426\u4ecd\u80fd\u88ab\u8bed\u97f3\u8f93\u5165\u8c03\u7528\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u56db\u3001\u4e3b\u8981\u5b9e\u9a8c\u7ed3\u679c<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">1. \u4ec5\u9760\u4ea4\u9519\u7ed3\u6784\u5c31\u80fd\u6539\u5584\u5b9e\u4f53\u8bc6\u522b<\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>\u914d\u7f6e<\/th><th>Conversation TER<\/th><th>Medical EER<\/th><th>MMLU-S2T<\/th><th>SQA-S2T<\/th><\/tr><\/thead><tbody><tr><td>ASR-only<\/td><td>23.63<\/td><td>7.97<\/td><td>35.68%<\/td><td>0.05%<\/td><\/tr><tr><td>ASR + Interleave<\/td><td>22.65<\/td><td>7.32<\/td><td>51.77%<\/td><td>41.92%<\/td><\/tr><tr><td>ASR + PubMed<\/td><td>23.32<\/td><td>7.49<\/td><td>43.77%<\/td><td>10.10%<\/td><\/tr><tr><td>ASR + PubMed + Interleave<\/td><td>22.35<\/td><td>6.87<\/td><td>58.98%<\/td><td>41.03%<\/td><\/tr><tr><td>JSTIP-Best-EER<\/td><td>22.42<\/td><td>6.60<\/td><td>58.70%<\/td><td>42.07%<\/td><\/tr><\/tbody><\/table><figcaption>\u6839\u636e Table I \u6458\u5f55\uff0cTER\/EER \u8d8a\u4f4e\u8d8a\u597d\uff0c\u51c6\u786e\u7387\u8d8a\u9ad8\u8d8a\u597d\u3002<\/figcaption><\/figure>\n\n\n\n<p>\u5728\u4e0d\u52a0\u5165\u989d\u5916\u9886\u57df\u6587\u672c\u7684\u60c5\u51b5\u4e0b\uff0c\u4ea4\u9519\u8bad\u7ec3\u5c06\u533b\u7597 EER \u4ece 7.97% \u964d\u81f3 7.32%\uff0c\u5e76\u628a\u96f6\u6837\u672c SQA-S2T \u4ece\u51e0\u4e4e\u4e0d\u53ef\u7528\u7684 0.05% \u63d0\u5347\u5230 41.92%\u3002\u8fd9\u8bf4\u660e\u63d0\u5347\u4e0d\u53ea\u662f\u6765\u81ea\u66f4\u591a\u6587\u672c\uff0c\u800c\u662f\u6765\u81ea\u6a21\u578b\u91cd\u65b0\u83b7\u5f97\u4e86\u4ece\u8bed\u97f3\u4e0a\u4e0b\u6587\u8fdb\u5165 LLM \u751f\u6210\u80fd\u529b\u7684\u901a\u8def\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">2. \u666e\u901a\u6587\u672c\u6df7\u8bad\u7684\u77e5\u8bc6\u8fc1\u79fb\u5e76\u4e0d\u5145\u5206<\/h3>\n\n\n\n<p>\u52a0\u5165 PubMed \u540e\uff0cMMLU-T2T \u4ece 43.01% \u63d0\u5347\u5230 64.10%\uff0c\u4f46 MMLU-S2T \u53ea\u6709 43.77%\uff0c\u8bf4\u660e\u6587\u672c\u4fa7\u5df2\u7ecf\u5b66\u5230\u77e5\u8bc6\uff0c\u8bed\u97f3\u4fa7\u5374\u8bbf\u95ee\u4e0d\u5230\u3002\u52a0\u5165\u4ea4\u9519\u8bad\u7ec3\u540e\uff0cMMLU-S2T \u63d0\u5347\u5230 58.98%\uff0c\u533b\u7597 EER \u8fdb\u4e00\u6b65\u964d\u81f3 6.87%\u3002<\/p>\n\n\n\n<p>\u66f4\u6709\u4ef7\u503c\u7684\u662f\uff0c\u5355\u72ec\u52a0\u5165 TTS \u8f6c\u5199\u6587\u672c\u65f6\uff0c\u533b\u7597 EER \u4ec5\u4ece 7.97% \u964d\u5230 7.85%\uff1b\u7ed3\u5408\u4ea4\u9519\u8bad\u7ec3\u540e\u5219\u964d\u81f3 6.81%\uff0c\u5df2\u7ecf\u63a5\u8fd1\u76f4\u63a5\u4f7f\u7528 9,000 \u5c0f\u65f6\u5408\u6210\u533b\u7597\u8bed\u97f3\u7684 6.86%\u3002\u8fd9\u610f\u5473\u7740\u5728\u5177\u5907\u4ea4\u9519\u8bad\u7ec3\u7684\u6761\u4ef6\u4e0b\uff0c\u5ec9\u4ef7\u9886\u57df\u6587\u672c\u6709\u673a\u4f1a\u66ff\u4ee3\u6210\u672c\u66f4\u9ad8\u7684 TTS \u8bed\u97f3\u5408\u6210\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">3. \u4e0e\u5f00\u6e90\u6a21\u578b\u7684\u5b9e\u4f53\u8bc6\u522b\u5bf9\u6bd4<\/h3>\n\n\n\n<p>JSTIP-Best-EER \u5728\u533b\u7597\u96c6\u5408\u4e0a\u53d6\u5f97 6.60% EER\uff0c\u4f18\u4e8e Whisper-large-v3 \u7684 6.94%\u3001Qwen3-ASR-1.7B \u7684 6.67%\u3001Voxtral-Mini-3B \u7684 7.40% \u548c Qwen2.5-Omni-7B \u7684 12.22%\uff1b\u4f46\u4ecd\u843d\u540e\u4e8e Qwen3-Omni-30B-A3B \u7684 5.84% \u548c Voxtral-Small-24B \u7684 6.04%\u3002<\/p>\n\n\n\n<p>\u94f6\u884c\u9886\u57df EER \u4e3a 10.75%\uff0c\u660e\u663e\u5f31\u4e8e\u533b\u7597\u9886\u57df\uff0c\u4f5c\u8005\u5c06\u5176\u5f52\u56e0\u4e8e\u8bad\u7ec3\u4e2d\u52a0\u5165\u4e86 PubMed \u548c\u533b\u7597\u6587\u672c\uff0c\u5374\u6ca1\u6709\u63d0\u4f9b\u76f8\u5f53\u89c4\u6a21\u7684\u94f6\u884c\u9886\u57df\u6587\u672c\u3002\u8fd9\u4ece\u4fa7\u9762\u9a8c\u8bc1\u4e86 JSTIP \u7684\u6536\u76ca\u4ecd\u7136\u4f9d\u8d56\u6587\u672c\u77e5\u8bc6\u8986\u76d6\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" width=\"1024\" height=\"413\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/08\/image-12-1024x413.png\" alt=\"\" class=\"wp-image-31550\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/08\/image-12-1024x413.png 1024w, http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/08\/image-12-300x121.png 300w, http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/08\/image-12-768x310.png 768w, http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/08\/image-12.png 1315w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" width=\"1024\" height=\"276\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/08\/image-13-1024x276.png\" alt=\"\" class=\"wp-image-31551\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/08\/image-13-1024x276.png 1024w, http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/08\/image-13-300x81.png 300w, http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/08\/image-13-768x207.png 768w, http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/08\/image-13.png 1305w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">\u4e94\u3001\u4ea4\u9519\u7c92\u5ea6\u6d88\u878d<\/h2>\n\n\n\n<p>\u8bcd\u7ea7\u4ea4\u9519\u5c06\u533b\u7597 EER \u4ece 7.97% \u964d\u81f3 7.64%\uff0c\u4f46 MMLU \u7684\u8bed\u97f3-\u6587\u672c\u5dee\u8ddd\u4ecd\u4e3a -6.89 \u4e2a\u767e\u5206\u70b9\u3002\u7247\u6bb5\u7ea7\u4ea4\u9519\u66f4\u5584\u4e8e\u7f29\u5c0f\u6a21\u6001\u5dee\u8ddd\uff0c\u7279\u522b\u662f\u4f7f\u7528\u201c\u9759\u97f3\u52a0\u6807\u70b9\u201d\u5207\u5206\u65f6\uff0c\u5dee\u8ddd\u7f29\u5c0f\u81f3 -0.77 \u4e2a\u767e\u5206\u70b9\u3002<\/p>\n\n\n\n<p>\u6548\u679c\u6700\u597d\u7684\u57fa\u7840\u914d\u7f6e\u662f\u8bcd\u7ea7\u4e0e\u7247\u6bb5\u7ea7\u6df7\u5408\uff0c\u5e76\u4f7f\u7528\u9759\u97f3\u52a0\u6807\u70b9\u5212\u5206\u7247\u6bb5\uff0c\u533b\u7597 EER \u8fbe\u5230 7.32%\uff0cMMLU-S2T \u751a\u81f3\u6bd4 T2T \u9ad8 0.61 \u4e2a\u767e\u5206\u70b9\u3002\u6807\u70b9\u53ef\u4ee5\u907f\u514d\u7eaf\u9759\u97f3\u5207\u5206\u4ea7\u751f\u8fc7\u957f\u7247\u6bb5\uff0c\u4f7f\u76d1\u7763\u66f4\u52a0\u5747\u8861\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" width=\"1024\" height=\"390\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/08\/image-14-1024x390.png\" alt=\"\" class=\"wp-image-31552\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/08\/image-14-1024x390.png 1024w, http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/08\/image-14-300x114.png 300w, http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/08\/image-14-768x293.png 768w, http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/08\/image-14.png 1317w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\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\/08\/image-15.png\" alt=\"\" class=\"wp-image-31553\" width=\"531\" height=\"251\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/08\/image-15.png 855w, http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/08\/image-15-300x142.png 300w, http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/08\/image-15-768x364.png 768w\" sizes=\"(max-width: 531px) 100vw, 531px\" \/><\/figure><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">\u516d\u3001\u8bba\u6587\u7684\u4e3b\u8981\u521b\u65b0\u70b9<\/h2>\n\n\n\n<ol class=\"wp-block-list\"><li><strong>\u628a\u4ea4\u9519\u6784\u9020\u653e\u5230\u5355\u4e2a\u5bf9\u9f50\u6837\u672c\u5185\u90e8\u3002<\/strong>\u5b83\u4e0d\u53ea\u662f\u8fdb\u884c ASR\/Text batch \u6df7\u5408\uff0c\u800c\u662f\u8ba9\u6587\u672c\u9884\u6d4b\u76f4\u63a5\u5efa\u7acb\u5728\u4ea4\u66ff\u51fa\u73b0\u7684\u8bed\u97f3\u548c\u6587\u672c\u4e0a\u4e0b\u6587\u4e4b\u4e0a\u3002<\/li><li><strong>\u63d0\u51fa\u9002\u7528\u4e8e\u8fde\u7eed\u8bed\u97f3\u8868\u793a\u7684\u53ef\u6269\u5c55\u8bcd\u7ea7\u4ea4\u9519\u3002<\/strong>\u901a\u8fc7\u62fc\u63a5\u540e\u7edf\u4e00\u7f16\u7801\u3001\u518d\u6062\u590d\u4f4d\u7f6e\uff0c\u89e3\u51b3\u9010\u8bcd\u8bed\u97f3\u7f16\u7801\u5e26\u6765\u7684\u663e\u5b58\u6d6a\u8d39\u3002<\/li><li><strong>\u7cfb\u7edf\u6bd4\u8f83\u8bcd\u7ea7\u3001\u7247\u6bb5\u7ea7\u548c\u6df7\u5408\u7c92\u5ea6\u3002<\/strong>\u5b9e\u9a8c\u8bf4\u660e\u7247\u6bb5\u7ea7\u66f4\u64c5\u957f\u7f29\u5c0f\u6a21\u6001\u5dee\u8ddd\uff0c\u8bcd\u7ea7\u5219\u80fd\u63d0\u4f9b\u989d\u5916\u7684\u5b9e\u4f53\u8bc6\u522b\u6536\u76ca\u3002<\/li><li><strong>\u8bc1\u660e\u9886\u57df\u6587\u672c\u53ef\u4ee5\u66f4\u6709\u6548\u5730\u8fc1\u79fb\u5230 ASR\u3002<\/strong>\u5728\u4ea4\u9519\u8bad\u7ec3\u4e0b\uff0c\u53ea\u6709\u8f6c\u5199\u6587\u672c\u4e5f\u80fd\u8fbe\u5230\u63a5\u8fd1\u5408\u6210 TTS \u914d\u5bf9\u6570\u636e\u7684\u533b\u7597\u5b9e\u4f53\u8bc6\u522b\u6548\u679c\u3002<\/li><li><strong>\u7528 MMLU-Speech \u548c\u96f6\u6837\u672c SQA \u8bca\u65ad LLM \u5148\u9a8c\u662f\u5426\u4fdd\u7559\u3002<\/strong>\u8fd9\u4e9b\u6307\u6807\u4e0d\u53ea\u662f\u8bc4\u4f30 ASR \u51c6\u786e\u7387\uff0c\u8fd8\u89c2\u5bdf\u8bed\u97f3\u8f93\u5165\u80fd\u5426\u8bbf\u95ee LLM \u539f\u6709\u7684\u751f\u6210\u548c\u63a8\u7406\u884c\u4e3a\u3002<\/li><\/ol>\n\n\n\n<h2 class=\"wp-block-heading\">\u4e03\u3001\u5c40\u9650\u6027<\/h2>\n\n\n\n<ul class=\"wp-block-list\"><li>38,000\u5c0f\u65f6\u4e3b\u8bad\u7ec3\u6570\u636e\u3001\u9886\u57df\u6d4b\u8bd5\u96c6\u30017B LLM \u548c\u90e8\u5206\u7ec4\u4ef6\u5747\u4e3a\u5185\u90e8\u8d44\u6e90\uff0c\u96be\u4ee5\u5b8c\u6574\u590d\u73b0\u3002<\/li><li>\u5f53\u524d\u5b9e\u9a8c\u4ee5\u82f1\u6587\u548c\u533b\u7597\u9886\u57df\u4e3a\u4e3b\uff0c\u5bf9\u4e2d\u6587\u3001\u591a\u8bed\u79cd\u548c\u66f4\u591a\u884c\u4e1a\u7684\u9002\u7528\u6027\u4ecd\u9700\u9a8c\u8bc1\u3002<\/li><li>\u8bcd\u7ea7\u4ea4\u9519\u4f9d\u8d56 HMM \u5f3a\u5236\u5bf9\u9f50\uff0c\u9519\u8bef\u8fb9\u754c\u53ef\u80fd\u76f4\u63a5\u6c61\u67d3\u4ea4\u9519\u7247\u6bb5\uff1bCTC\u548c\u65f6\u95f4\u6233\u5bf9\u9f50\u5c1a\u672a\u6bd4\u8f83\u3002<\/li><li>\u5f00\u6e90\u6a21\u578b\u4e4b\u95f4\u7684\u53c2\u6570\u3001\u8bad\u7ec3\u6570\u636e\u3001Prompt\u548c\u89e3\u7801\u7b56\u7565\u4e0d\u540c\uff0cTable II \u53ea\u80fd\u4f5c\u4e3a\u5916\u90e8\u53c2\u8003\uff0c\u4e0d\u662f\u4e25\u683c\u6392\u884c\u699c\u3002<\/li><li>SQA \u4f1a\u53d7\u5230\u63d0\u793a\u8bcd\u3001\u89e3\u7801\u548c\u7b54\u6848\u5f52\u4e00\u5316\u5f71\u54cd\uff0c\u5e94\u89c6\u4e3a LLM \u751f\u6210\u5148\u9a8c\u4fdd\u7559\u7684\u8f85\u52a9\u8bc1\u636e\uff0c\u800c\u4e0d\u662f\u72ec\u7acb\u7684\u8bed\u97f3\u63a8\u7406\u7ed3\u8bba\u3002<\/li><\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">\u516b\u3001\u603b\u7ed3<\/h2>\n\n\n\n<p>JSTIP \u7684\u6838\u5fc3\u7ed3\u8bba\u662f\uff1aSpeech-LLM \u662f\u5426\u80fd\u591f\u5229\u7528\u6587\u672c\u77e5\u8bc6\uff0c\u4e0d\u53ea\u53d6\u51b3\u4e8e\u6709\u6ca1\u6709\u6587\u672c\u6570\u636e\uff0c\u66f4\u53d6\u51b3\u4e8e\u8bad\u7ec3\u5e8f\u5217\u662f\u5426\u8ba9\u8bed\u97f3\u548c\u6587\u672c\u5171\u4eab\u76f8\u540c\u7684\u9884\u6d4b\u884c\u4e3a\u3002\u666e\u901a\u8054\u5408\u8bad\u7ec3\u53ef\u80fd\u53ea\u5206\u522b\u63d0\u5347\u8bed\u97f3\u4efb\u52a1\u548c\u6587\u672c\u4efb\u52a1\uff0c\u800c\u6837\u672c\u5185\u90e8\u7684\u4ea4\u9519\u8bad\u7ec3\u624d\u80fd\u628a\u4e8c\u8005\u771f\u6b63\u8fde\u63a5\u8d77\u6765\u3002<\/p>\n\n\n\n<p>\u4ece\u5de5\u7a0b\u89d2\u5ea6\u770b\uff0c\u8fd9\u9879\u5de5\u4f5c\u5c24\u5176\u9002\u5408\u9886\u57df ASR\u3002\u4f01\u4e1a\u5f80\u5f80\u62e5\u6709\u5927\u91cf\u4e13\u4e1a\u6587\u672c\uff0c\u5374\u7f3a\u5c11\u76f8\u5e94\u7684\u5f55\u97f3\u548c\u6807\u6ce8\u3002\u82e5\u4ea4\u9519\u9884\u8bad\u7ec3\u53ef\u4ee5\u8ba9\u8fd9\u4e9b\u6587\u672c\u6709\u6548\u6539\u5584\u8bed\u97f3\u5b9e\u4f53\u8bc6\u522b\uff0c\u5c31\u80fd\u51cf\u5c11\u9886\u57df TTS \u5408\u6210\u548c\u4eba\u5de5\u91c7\u96c6\u6210\u672c\u3002\u4e0d\u8fc7\uff0c\u5728\u516c\u5f00\u6570\u636e\u3001\u66f4\u591a\u8bed\u8a00\u548c\u4e0d\u540c\u5bf9\u9f50\u7b97\u6cd5\u4e0a\u7684\u53ef\u590d\u73b0\u6027\uff0c\u4ecd\u662f JSTIP \u8d70\u5411\u901a\u7528\u65b9\u6cd5\u524d\u5fc5\u987b\u8865\u9f50\u7684\u90e8\u5206\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Rethinking Speech-LLM Integration for ASR: Effective Jo &hellip; <a href=\"http:\/\/139.9.1.231\/index.php\/2026\/08\/11\/speech-llm-integration-for-asr\/\" class=\"more-link\">\u7ee7\u7eed\u9605\u8bfb<span class=\"screen-reader-text\">\u8bed\u97f3-LLM 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