{"id":26662,"date":"2025-06-12T10:48:28","date_gmt":"2025-06-12T02:48:28","guid":{"rendered":"http:\/\/139.9.1.231\/?p=26662"},"modified":"2025-06-12T10:48:29","modified_gmt":"2025-06-12T02:48:29","slug":"recent-advances-in-direct-speech-to-text-translation","status":"publish","type":"post","link":"http:\/\/139.9.1.231\/index.php\/2025\/06\/12\/recent-advances-in-direct-speech-to-text-translation\/","title":{"rendered":"\u8bed\u97f3\u7ffb\u8bd1\u7efc\u8ff0\uff1aRecent Advances in Direct Speech-to-text Translation"},"content":{"rendered":"\n<p> <li><strong>\u8bed\u97f3\u7ffb\u8bd1\u7efc\u8ff0\uff1a<a rel=\"noreferrer noopener\" href=\"https:\/\/arxiv.org\/abs\/2306.11646\" target=\"_blank\">Recent Advances in Direct Speech-to-text Translation<\/a><\/strong><\/li><\/p>\n\n\n\n<figure class=\"wp-block-image size-large is-resized\"><img loading=\"lazy\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2025\/06\/image-16-1024x672.png\" alt=\"\" class=\"wp-image-26658\" width=\"690\" height=\"452\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2025\/06\/image-16-1024x672.png 1024w, http:\/\/139.9.1.231\/wp-content\/uploads\/2025\/06\/image-16-300x197.png 300w, http:\/\/139.9.1.231\/wp-content\/uploads\/2025\/06\/image-16-768x504.png 768w, http:\/\/139.9.1.231\/wp-content\/uploads\/2025\/06\/image-16.png 1207w\" sizes=\"(max-width: 690px) 100vw, 690px\" \/><figcaption>\u4e24\u79cd\u4e3b\u8981\u7ed3\u6784\uff1a\u7f16\u7801\u5668-\u89e3\u7801\u5668\u6846\u67b6\uff08Transformer \u53ca\u5176\u53d8\u4f53\uff09\u548c\u591a\u4efb\u52a1\u6846\u67b6\u3002 \u6570\u636e\u96be\u9898\uff1a\u6570\u636e\u589e\u5f3a\u3001\u9884\u8bad\u7ec3\u3001\u77e5\u8bc6\u63d0\u70bc\u548c\u591a\u8bed\u8a00\u5efa\u6a21\u3002 \u5e94\u7528\uff1a\u5b9e\u65f6\u6027\u3001\u5206\u6bb5\u3001\u547d\u540d\u5b9e\u4f53\u3001\u6027\u522b\u504f\u89c1\u548c\u8bed\u79cd\u6df7\u5408\u8f6c\u6362<\/figcaption><\/figure>\n\n\n\n<p>\u540d\u8bcd\u89e3\u91ca\uff1a<\/p>\n\n\n\n<ul><li><strong>\u8bef\u5dee\u7d2f\u79ef\uff08error accumulation\uff09\uff1a<\/strong>\u6307\u5728\u8fde\u7eed\u7684\u8f6c\u5f55\u6216\u7ffb\u8bd1\u6b65\u9aa4\u4e2d\uff0c\u7531\u4e8e\u524d\u4e00\u6b65\u9aa4\u7684\u9519\u8bef\u4f1a\u5728\u540e\u7eed\u6b65\u9aa4\u4e2d\u79ef\u7d2f\uff0c\u5bfc\u81f4\u6700\u7ec8\u7ed3\u679c\u7684\u8d28\u91cf\u9010\u6e10\u4e0b\u964d\u7684\u73b0\u8c61\u3002\u8fd9\u79cd\u8bef\u5dee\u7d2f\u79ef\u901a\u5e38\u5728\u8bed\u97f3\u5230\u6587\u672c\uff08Automatic Speech Recognition, ASR\uff09\u7cfb\u7edf\u548c\u6587\u672c\u5230\u6587\u672c\uff08\u673a\u5668\u7ffb\u8bd1\u6216\u6587\u672c\u8f6c\u5199\uff09\u7cfb\u7edf\u4e4b\u95f4\u7684\u591a\u6b65\u9aa4\u6d41\u7a0b\u4e2d\u51fa\u73b0\u3002\u5728\u8fd9\u4e9b\u7cfb\u7edf\u4e2d\uff0c\u58f0\u97f3\u4fe1\u53f7\u9996\u5148\u88ab\u8f6c\u5f55\u6210\u6587\u672c\uff0c\u7136\u540e\u6587\u672c\u518d\u88ab\u7ffb\u8bd1\u6210\u76ee\u6807\u8bed\u8a00\u6216\u8005\u4ee5\u5176\u4ed6\u65b9\u5f0f\u8fdb\u884c\u5904\u7406\u3002\u5982\u679c\u5728\u8f6c\u5f55\u6b65\u9aa4\u4e2d\u51fa\u73b0\u9519\u8bef\uff0c\u8fd9\u4e9b\u9519\u8bef\u5c06\u4f20\u9012\u5230\u540e\u7eed\u6b65\u9aa4\uff0c\u5f71\u54cd\u6700\u7ec8\u7684\u7ffb\u8bd1\u6216\u6587\u672c\u8f6c\u5199\u8d28\u91cf\u3002<\/li><li><strong>\u81ea\u56de\u5f52\uff08Autoregressive\uff09\uff1a<\/strong>\u5728 E2E ST\uff08End-to-End Speech Translation\uff09\u6a21\u578b\u4e2d\uff0c&#8221;autoregressive&#8221; \u8868\u793a\u6a21\u578b\u4f1a\u9010\u4e2a\u751f\u6210\u7ffb\u8bd1\u6587\u672c\u7684\u6bcf\u4e2a\u8bcd\u6216\u5b50\u8bcd\uff0c\u6bcf\u6b21\u751f\u6210\u90fd\u4f1a\u4f9d\u8d56\u4e8e\u524d\u4e00\u4e2a\u65f6\u95f4\u6b65\u751f\u6210\u7684\u5185\u5bb9\u3002\u8fd9\u662f\u4e00\u79cd\u9010\u6b65\u3001\u4e32\u884c\u7684\u751f\u6210\u8fc7\u7a0b\u3002\u5178\u578b\u7684 autoregressive \u6a21\u578b\u5305\u62ec\u5faa\u73af\u795e\u7ecf\u7f51\u7edc\uff08RNN\uff09\u3001\u957f\u77ed\u65f6\u8bb0\u5fc6\u7f51\u7edc\uff08LSTM\uff09\u3001\u548c\u53d8\u6362\u5668\uff08Transformer\uff09\u7b49\u3002<\/li><\/ul>\n\n\n\n<ol><li>\u65e9\u671f\u7684\u8bed\u97f3\u7ffb\u8bd1\u3010Speech-to-text translation (ST)\u3011\u89e3\u51b3\u65b9\u6848\u662f\u901a\u8fc7\u7ea7\u8054\u7cfb\u7edf\uff0c\u4f7f\u7528\u591a\u4e2a\u5b50\u4efb\u52a1\u8fdb\u884c\u5904\u7406\u3002<ul><li>\u6bd4\u5982\u9996\u5148\u901a\u8fc7ASR\uff08Automatic Speech Recognition\uff09\u7cfb\u7edf\uff0c\u5c06\u8bed\u97f3\u8f6c\u5f55\u4e3a\u6587\u672c\uff0c\u7136\u540e\u518d\u4f7f\u7528 MT\uff08Machine Translation\uff09\u7cfb\u7edf\u5c06\u6587\u672c\u7ffb\u8bd1\u4e3a\u53e6\u4e00\u79cd\u8bed\u8a00\u3002<\/li><li>\u5bf9\u4e8e\u8fd9\u6837\u7684\u7ea7\u8054\u7cfb\u7edf\uff0c\u7814\u7a76\u65b9\u5411\u4e3b\u8981\u4e3a\u89e3\u51b3<strong>\u8bef\u5dee\u7d2f\u79ef\uff08error accumulation\uff09<\/strong>\u7684\u95ee\u9898\u3002<\/li><\/ul><\/li><li>\u7aef\u5230\u7aef\u8bed\u97f3\u7ffb\u8bd1\u3010end-to-end speech translation (E2E ST)\u3011\u6709\u8fd9\u6837\u7684\u597d\u5904\uff1a<ul><li>\u80fd\u591f\u51cf\u5c11<strong>\u8bef\u5dee\u7d2f\u79ef<\/strong><\/li><li>\u80fd\u591f\u51cf\u5c11\u5ef6\u8fdf<\/li><li>\u62e5\u6709\u66f4\u591a\u7684\u4e0a\u4e0b\u6587\u5efa\u6a21<\/li><li>\u9002\u7528\u4e8e\u4e0d\u6210\u6587\u8bed\u8a00<\/li><\/ul><\/li><li>\u57fa\u7840\u5efa\u6a21\uff1a<ul><li>ST \u7684\u8bed\u6599\u5e93\u901a\u5e38\u5305\u542b\u8bed\u97f3 s\uff0c\u8f6c\u4e49\u6587\u5b57 x\uff0c\u4ee5\u53ca\u7ffb\u8bd1\u7ed3\u679c y<\/li><li>\u57fa\u7840\u7684 E2E ST \u6a21\u578b\u6846\u67b6\u662f\u57fa\u4e8e Encoder-Decoder \u67b6\u6784\u7684<\/li><li>\u7136\u800c\uff0cE2E ST \u6a21\u578b\u7684\u8bad\u7ec3\u5e76\u4e0d\u5bb9\u6613\uff0c\u5176\u6548\u679c\u4e5f\u53ea\u662f\u63a5\u8fd1\u4e8e\u7ea7\u8054\u7cfb\u7edf\u7684\u7ed3\u679c\uff0c\u5e76\u4e0d\u662f\u6027\u80fd\u6700\u597d\u7684\u6280\u672f\u3002<\/li><\/ul><\/li><li>\u76ee\u524d\uff0cE2E ST \u6a21\u578b\u7814\u7a76\u65b9\u5411\u4e3b\u8981\u4e3a\uff1a<ul><li>\u5efa\u6a21\u8d1f\u62c5\uff08Modeling Burden\uff09\uff1a<ul><li>\u9700\u8981\u540c\u65f6<strong>\u5904\u7406\u8de8\u6a21\u6001\uff08\u58f0\u97f3\u5230\u6587\u672c\uff09\u548c\u8de8\u8bed\u8a00\uff08\u6e90\u8bed\u8a00\u5230\u76ee\u6807\u8bed\u8a00\uff09\u7684\u95ee\u9898<\/strong>\uff0c\u5bfc\u81f4<strong>\u6a21\u578b\u5efa\u6a21\u4f1a\u5f88\u590d\u6742<\/strong><\/li><li>\u6536\u655b\u56f0\u96be\uff0c\u6027\u80fd\u8f83\u5dee<\/li><\/ul><\/li><li><strong>\u6570\u636e\u7a00\u7f3a<\/strong>\uff08Data scarcity\uff09\uff1a<ul><li>ASR\u3001MT \u7684\u8bed\u6599\u5e93\u975e\u5e38\u591a\uff0c\u4e14\u6709\u4e9b\u975e\u5e38\u5927<\/li><li>\u4f46\u662f ST \u7684\u8bed\u6599\u5e93\u5176\u6807\u6ce8\u96be\u5ea6\u8f83\u9ad8\uff0c\u56e0\u6b64 ST \u7684\u6570\u636e\u5f88\u5c11<\/li><\/ul><\/li><li>\u5e94\u7528\u95ee\u9898\uff08Application issues\uff09\uff1a<ul><li>\u9700\u8981\u8003\u8651\u5b9e\u9645\u5e94\u7528\u4e2d\u7684\u95ee\u9898\uff0c\u5982\u5b9e\u65f6\u7ffb\u8bd1\uff0c\u957f\u683c\u5f0f\u97f3\u9891\u5206\u5272\u7b49\u7b49\u3002<\/li><\/ul><\/li><\/ul><\/li><\/ol>\n\n\n\n<h2><strong>Tackling Modeling Burden<\/strong>\uff1a<\/h2>\n\n\n\n<ul><li><strong>\u5bf9\u4e8e\u8bed\u97f3\u4fe1\u53f7\u8fd9\u79cd\u957f\u5e8f\u5217\u8f93\u5165\uff0c\u6211\u4eec\u91c7\u7528\u9ad8\u5bb9\u91cf\u7aef\u5230\u7aef\u6a21\u578b\uff0c\u901a\u5e38\u662f Transformer\u53ca\u5176\u53d8\u79cd\u67b6\u6784\u3002<\/strong><\/li><li><strong>\u5bf9\u4e8e\u5efa\u6a21\u8d1f\u62c5\u95ee\u9898\uff0c\u901a\u5e38\u91c7\u7528\u591a\u4efb\u52a1\u5b66\u4e60\u6846\u67b6\uff0c\u5bf9\u539f\u59cb\u7684 Transformer-based \u6a21\u578b\u8fdb\u884c\u4fee\u6539\u3002<\/strong><\/li><li><strong>\u5bf9\u89e3\u7801\u6548\u7387\u95ee\u9898\uff0c\u6211\u4eec\u91c7\u7528\u975e\u81ea\u56de\u5f52\u6a21\u578b\uff0c\u4ece\u800c\u63d0\u9ad8\u89e3\u7801\u901f\u5ea6<\/strong><\/li><\/ul>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" width=\"684\" height=\"690\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2025\/06\/image-17.png\" alt=\"\" class=\"wp-image-26661\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2025\/06\/image-17.png 684w, http:\/\/139.9.1.231\/wp-content\/uploads\/2025\/06\/image-17-297x300.png 297w, http:\/\/139.9.1.231\/wp-content\/uploads\/2025\/06\/image-17-150x150.png 150w, http:\/\/139.9.1.231\/wp-content\/uploads\/2025\/06\/image-17-120x120.png 120w\" sizes=\"(max-width: 684px) 100vw, 684px\" \/><\/figure>\n\n\n\n<h3><strong>Transformer\u00a0<\/strong>\uff1a<\/h3>\n\n\n\n<h5 id=\"Speech-Transformer\">Speech-Transformer<\/h5>\n\n\n\n<ul><li>\u57fa\u4e8e text-to-text Transformer<\/li><li>\u4e3b\u8981\u6539\u8fdb\u70b9\u4e3a acoustic features \u5728\u8fdb\u5165\u81ea\u6ce8\u610f\u529b<a href=\"https:\/\/so.csdn.net\/so\/search?q=%E7%BC%96%E7%A0%81%E5%99%A8&amp;spm=1001.2101.3001.7020\" target=\"_blank\" rel=\"noreferrer noopener\">\u7f16\u7801\u5668<\/a>\u524d\uff0c\u9996\u5148\u7531\u5377\u79ef\u5c42\uff08\u901a\u5e38\u662f\u6b65\u957f\u4e3a 2 \u7684\u4e24\u5c42\uff0c\u5c06\u957f\u5ea6\u538b\u7f29 4 \u500d\uff09\u538b\u7f29\uff0c\u7136\u540e\u518d\u63a5\u4e00\u4e2a\u5f52\u4e00\u5316\u5c42<\/li><\/ul>\n\n\n\n<h5 id=\"Conformer\">Conformer<\/h5>\n\n\n\n<ul><li>\u4e3b\u8981\u6539\u8fdb\u70b9\u5728\u4e8e\uff0c\u5728\u6bcf\u4e2a&nbsp;<strong>encoder blocks<\/strong>&nbsp;\u7684&nbsp;<strong>\u591a\u5934\u81ea\u6ce8\u610f\u529b\u6a21\u5757<\/strong>&nbsp;\u548c&nbsp;<strong>\u524d\u9988\u5c42<\/strong>&nbsp;\u4e4b\u95f4\u52a0\u5165\u4e86&nbsp;<strong>\u5377\u79ef\u6a21\u5757<\/strong><\/li><li>\u5377\u79ef\u6a21\u5757\u5305\u62ec\u4e86\u6ce8\u610f\u529b\u548c\u5377\u79ef\u7ec4\u4ef6\uff0c\u7531\u4e24\u4e2a Macaron-net \u98ce\u683c\u7684\u524d\u9988\u5c42\uff08feed-forward layers\uff09\u548c\u6b8b\u5dee\u8fde\u63a5\uff08residual connections\uff09\u6240\u5305\u56f4\u3002<\/li><\/ul>\n\n\n\n<h5 id=\"SSL-Transformer\">SSL-Transformer<\/h5>\n\n\n\n<ul><li>\u8fd9\u662f\u4e00\u79cd\u7ed3\u5408\u4e86\u81ea\u76d1\u7763\u5b66\u4e60\uff08self-supervised learning\uff0cSSL\uff09\u5f97\u5230\u7684\u8bed\u97f3\u8868\u793a\u6a21\u578b<\/li><li>SSL \u5df2\u7ecf\u88ab\u6210\u529f\u5e94\u7528\u5230\u4e86\u63d0\u53d6\u8bed\u97f3\u7279\u5f81\u7684\u4efb\u52a1\u4e2d\u53bb<\/li><li>SSL-Transformer \u4e3b\u8981\u5c31\u662f\u5c06\u539f\u59cb\u7684\u97f3\u9891\u6ce2\u5f62\u8f93\u5165\u5230\u81ea\u76d1\u7763\u5b66\u4e60\u6a21\u578b\u4e2d\uff0c\u901a\u8fc7\u591a\u4e2a\u5377\u79ef\u5c42\u548c\u7f16\u7801\u5c42\u7684\u5904\u7406\uff0c\u4ece\u800c\u63d0\u53d6\u8bed\u97f3\u7279\u5f81\u3002<\/li><li>SSL-Transformer \u6a21\u578b\u4e2d\uff0c\u81ea\u76d1\u7763\u5b66\u4e60\u6a21\u578b\u53ef\u4ee5\u88ab\u6574\u5408\u5230<a href=\"https:\/\/so.csdn.net\/so\/search?q=%E8%A7%A3%E7%A0%81%E5%99%A8&amp;spm=1001.2101.3001.7020\" target=\"_blank\" rel=\"noreferrer noopener\">\u89e3\u7801\u5668<\/a>\u4e2d\uff1a\u6216\u8005\u4f5c\u4e3a\u4e00\u4e2a\u72ec\u7acb\u7684\u7f16\u7801\u5668\uff0c\u6216\u8005\u4f5c\u4e3a\u4e00\u4e2a\u8bed\u97f3\u7279\u5f81\u63d0\u53d6\u5668\uff0c\u7136\u540e\u4e0e\u6574\u4e2a Transformer \u6a21\u578b\u76f8\u8fde\u63a5\u3002<\/li><\/ul>\n\n\n\n<h3><strong>Multitask Frameworks<\/strong>\uff1a<\/h3>\n\n\n\n<p>\u9488\u5bf9\u6a21\u578b\u8d1f\u62c5\u7684\u95ee\u9898\uff0c\u591a\u4efb\u52a1\u7684\u6838\u5fc3\u601d\u60f3\u662f\u5229\u7528\u4e00\u4e9b\u8f85\u52a9\u5de5\u5177\u6765\u8f85\u52a9\u76ee\u6807\u4efb\u52a1\u7684\u5b8c\u6210\u3002\u6bd4\u5982ASR\u548cMT\u3002\u800c\u6709\u4e9b\u4efb\u52a1\u6a21\u5757\u548c\u8f85\u52a9\u6a21\u5757\u7684\u53c2\u6570\u662f\u53ef\u4ee5\u5171\u4eab\u7684\uff0c\u8fd9\u5c31\u5bfc\u81f4\u4e86\u8f85\u52a9\u4efb\u52a1\u7684\u53ef\u884c\u6027\u3002\u76ee\u524d\u6709\u4e09\u79cd\u7c7b\u578b\u7684\u591a\u4efb\u52a1\u6846\u67b6\uff1a<\/p>\n\n\n\n<h5 id=\"Decoupled%20Decoder%EF%BC%88%E8%A7%A3%E8%80%A6%E8%A7%A3%E7%A0%81%E5%99%A8%EF%BC%89\">Decoupled Decoder\uff08\u89e3\u8026\u89e3\u7801\u5668\uff09<\/h5>\n\n\n\n<p>\u989d\u5916\u7684\u89e3\u7801\u5668\u7528\u4e8e\u5f15\u5bfc\u6a21\u578b\u5b66\u4e60\u6587\u672c\u8f6c\u5f55\uff08transcript\uff09\uff0c\u540c\u65f6\u4ecd\u7136\u4ee5\u7aef\u5230\u7aef\u7684\u65b9\u5f0f\u8fdb\u884c\u6a21\u578b\u8bad\u7ec3\u3002\u4e3b\u8981\u601d\u60f3\u6709\u4e24\u79cd\uff0c\u4e00\u79cd\u662f\u5982\u4f55\u901a\u8fc7\u751f\u6210\u7684\u6587\u672c\u8f6c\u5f55\u6765\u66f4\u597d\u4fc3\u8fdb\u7ffb\u8bd1\uff0c\u6bd4\u5982\u91c7\u7528\u4e24\u904d\u89e3\u7801\u5668\uff08two-pass decoder\uff09\uff1b\u8fd8\u6709\u4e00\u79cd\u662f\u540c\u65f6\u751f\u6210\u6587\u672c\u8f6c\u5f55\u548c\u7ffb\u8bd1\uff08dual decoder\uff09<\/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\/2025\/06\/image-18.png\" alt=\"\" class=\"wp-image-26684\" width=\"258\" height=\"241\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2025\/06\/image-18.png 303w, http:\/\/139.9.1.231\/wp-content\/uploads\/2025\/06\/image-18-300x280.png 300w\" sizes=\"(max-width: 258px) 100vw, 258px\" \/><\/figure>\n\n\n\n<ul><li><strong>Two-pass decoder\uff1a<\/strong>\u5148\u5c06\u58f0\u5b66\u7279\u5f81\u901a\u8fc7\u8fd9\u4e2aDecoder\uff0c\u7136\u540e\u518d\u628a\u8f6c\u5f55\u7ed3\u679c\u548c\u89e3\u7801\u5668\u7ed3\u679c\u7ed3\u5408\u8d77\u6765\u7528\u4e8e\u7ffb\u8bd1\u5de5\u4f5c\u3002\u4f46\u7531\u4e8e\u91c7\u7528\u7684\u662f\u987a\u5e8f\u751f\u6210\uff08sequential generation\uff09\uff0c\u5931\u53bb\u4e86\u4f4e\u5ef6\u8fdf\u7684\u56fa\u6709\u4f18\u52bf\u3002\u56e0\u6b64\u6709\u4eba\u7528\u975e\u81ea\u56de\u5f52\u65b9\u6cd5\u8fdb\u884c\u7b2c\u4e00\u6bb5\u7684\u89e3\u7801\u3002<\/li><li><strong>Dual decoder\uff1a<\/strong>\u4ea4\u4e92\u5f0f\u89e3\u7801\uff08interactive decoding\uff09\u4f7f\u7528\u4e24\u4e2a\u89e3\u7801\u5668\u540c\u6b65\u751f\u6210\u8f6c\u5f55\u548c\u7ffb\u8bd1\u3002\u4e0e\u6b64\u540c\u65f6\u8fd8\u989d\u5916\u4f7f\u7528\u4e86\u4ea4\u53c9\u6ce8\u610f\u529b\u6a21\u5757\uff08cross-attention module\uff09\u6765\u4e3a\u4e24\u4e2a\u89e3\u7801\u5668\u4ea4\u6362\u4fe1\u606f\u3002wait-k \u7b56\u7565\uff08wait-k policy\uff09\u901a\u8fc7\u9996\u5148\u9884\u6d4b\u8f6c\u5f55\u6587\u672c\u7684\u6807\u8bb0\uff0c\u4e3a\u7ffb\u8bd1\u6807\u8bb0\u7684\u89e3\u7801\uff08the decoding of the translation tokens\uff09\u63d0\u4f9b\u4e86\u66f4\u591a\u6709\u7528\u7684\u4fe1\u606f\u3002<\/li><\/ul>\n\n\n\n<h5 id=\"Decoupled%20Encoder%EF%BC%88%E8%A7%A3%E8%80%A6%E7%BC%96%E7%A0%81%E5%99%A8%EF%BC%89\">Decoupled Encoder\uff08\u89e3\u8026\u7f16\u7801\u5668\uff09<\/h5>\n\n\n\n<p>\u5bf9\u4e8e\u89e3\u8026\u89e3\u7801\u5668\uff0c\u5f53\u9047\u5230\u591a\u91cd\u63a8\u7406\u7684\u65f6\u5019\u53ef\u80fd\u4f1a\u5bfc\u81f4\u8bbe\u8ba1\u4e0e\u5ef6\u8fdf\u95ee\u9898\u3002\u66f4\u597d\u7684\u89e3\u51b3\u65b9\u6848\u662f\u901a\u8fc7\u89e3\u8026\u7f16\u7801\u5668\u540c\u65f6\u8bc6\u522b\u548c\u7406\u89e3\u539f\u59cb\u8bed\u97f3\u8f93\u5165\u7684\u8bed\u4e49\u3002\u56e0\u6b64\u6211\u4eec\u91c7\u7528\u4e0b\u9762\u8fd9\u5f20\u56fe\u7684\u65b9\u6848\uff0c\u5171\u6709\u4e24\u4e2aencoder\uff0c\u4f4e\u7ea7\u8bed\u97f3\u7f16\u7801\u5668\u9996\u5148\u5bf9\u6765\u81ea\u8bed\u97f3\u8f93\u5165\u7684\u58f0\u5b66\u4fe1\u606f\u8fdb\u884c\u7f16\u7801\uff0c\u8bed\u4e49\u7f16\u7801\u5668\u8fdb\u4e00\u6b65\u5b66\u4e60\u7ffb\u8bd1\u89e3\u7801\u6240\u9700\u7684\u8bed\u4e49\u8868\u793a\u3002<\/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\/2025\/06\/image-19.png\" alt=\"\" class=\"wp-image-26685\" width=\"239\" height=\"243\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2025\/06\/image-19.png 298w, http:\/\/139.9.1.231\/wp-content\/uploads\/2025\/06\/image-19-295x300.png 295w\" sizes=\"(max-width: 239px) 100vw, 239px\" \/><\/figure>\n\n\n\n<ul><li>\u7f16\u7801\u6bcf\u4e2a\u9636\u6bb5\u90fd\u53ef\u4ee5\u901a\u8fc7\u8f6c\u5f55\u4fe1\u606f\u8fdb\u884c\u76d1\u7763\u5b66\u4e60<\/li><li>\u8f6c\u5f55\u4e5f\u63d0\u4f9b\u4e86\u8bed\u97f3\u7684\u5bf9\u9f50\uff0c\u53ef\u4ee5\u7f13\u89e3 encoding \u8d1f\u62c5<\/li><\/ul>\n\n\n\n<p><strong>Two-stream Encoder\uff08\u53cc\u6d41\u7f16\u7801\u5668\uff09<\/strong><\/p>\n\n\n\n<p>ASR \u7684\u6570\u636e\u53ef\u4ee5\u7528\u6765\u589e\u5f3a\u7ec4\u4ef6\uff0c\u90a3\u4e48 MT \u7684\u6570\u636e\u4e5f\u53ef\u4ee5\u5417\uff1f\u5728\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u540c\u65f6\u63a5\u6536\u8bed\u97f3\u548c\u6587\u5b57\u7684\u8f93\u5165\uff0c\u5176\u5404\u81ea\u6709\u5404\u81ea\u7684\u7f16\u7801\u5668\uff0c\u8fd8\u6709\u4e2a\u5171\u4eab\u7f16\u7801\u5668\u3002\u8fd9\u4e2a\u7ed3\u6784\u901a\u5e38\u901a\u8fc7\u591a\u4efb\u52a1\u8bad\u7ec3\u635f\u5931\u8fdb\u884c\u4f18\u5316\uff0c\u4f8b\u5982\u7528\u4e8e\u8bed\u97f3\u7ffb\u8bd1\uff08ST\uff09\u548c\u673a\u5668\u7ffb\u8bd1\uff08MT\uff09\u7684\u8d1f\u5bf9\u6570\u4f3c\u7136\uff08NLL\uff09\u635f\u5931\u3002\u5176\u4e2d\u7684\u4f18\u52bf\u5728\u4e8e\uff0c\u901a\u8fc7\u4e0e MT \u7f16\u7801\u5668\u5171\u4eab\uff0c\u53ef\u4ee5\u5b66\u5230\u66f4\u597d\u7684\u8bed\u4e49\u8868\u793a\uff0c\u4ee5\u63d0\u9ad8\u7ffb\u8bd1\u6027\u80fd\u3002<\/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\/2025\/06\/image-20.png\" alt=\"\" class=\"wp-image-26688\" width=\"185\" height=\"202\"\/><\/figure>\n\n\n\n<p>\u5728\u63a8\u65ad\u8fc7\u7a0b\u4e2d\uff0c\u5219\u662f\u8f93\u5165\u8bed\u97f3\u6570\u636e\uff0c\u901a\u8fc7\u8bed\u97f3\u7f16\u7801\u5668\uff0c\u5171\u4eab\u7f16\u7801\u5668\uff0c\u89e3\u7801\u5668\uff0c\u6700\u7ec8\u751f\u6210\u7ffb\u8bd1\u540e\u7684\u6587\u672c\u3002<\/p>\n\n\n\n<ul><li><strong>Speech encoder\uff1a<\/strong>\u5176\u9700\u8981\u66f4\u6709\u80fd\u529b\u5355\u72ec\u63d0\u53d6\u8bed\u97f3\u8f93\u5165\u7684\u58f0\u5b66\u7279\u5f81\u3002<strong>Wav2vec2<\/strong>&nbsp;\u7b49\u9884\u8bad\u7ec3\u8bed\u97f3\u6a21\u578b\u53ef\u7528\u4f5c\u8bed\u97f3\u7f16\u7801\u5668\uff0c\u4ee5\u83b7\u5f97\u66f4\u597d\u7684 ST \u6027\u80fd<\/li><li><strong>Text encoder\uff1a<\/strong>\u6587\u672c\u7f16\u7801\u5668\u53ef\u4ee5\u662f\u6587\u672c\u5d4c\u5165\u5c42\uff08text embedding layer\uff09\u6216\u6587\u672c Transformer \u7f16\u7801\u5668\u7684\u51e0\u5c42\u3002\u540c\u65f6\uff0c\u8fd8\u53ef\u4ee5\u7528\u8bed\u97f3\u97f3\u7d20\uff08phoneme\uff09\u6765\u4ee3\u66ff\u539f\u59cb\u8f6c\u5f55\u4f5c\u4e3a\u6587\u672c\u8f93\u5165\uff0c\u8fd9\u6837\u53ef\u4ee5\u51cf\u5c11\u4e24\u79cd\u8f93\u5165\u7684\u6a21\u6001\u5dee\u5f02\u3002<\/li><li><strong>Interaction\uff1a<\/strong>\u4e5f\u6709\u5f88\u591a\u8bed\u97f3\u7f16\u7801\u5668\u548c\u6587\u672c\u7f16\u7801\u5668\u4ea4\u4e92\u7684\u53d8\u79cd\u3002<ul><li>\u6709\u4f7f\u7528\u5bf9\u6bd4\u5b66\u4e60\u6cd5\uff08contrastive learning method\uff09\u6765\u7f29\u77ed\u8bed\u97f3\u548c\u6587\u5b57\u7684\u8868\u8fbe\u5dee\u5f02\u7684<\/li><li>\u6709\u63d0\u51fa Chimera model \u6765\u5c06\u8bed\u97f3\u548c\u6587\u5b57\u8868\u8fbe\u957f\u5ea6\u5bf9\u9f50\u7684\u3002<\/li><li>\u8fd8\u6709\u540c\u65f6\u8003\u8651\u5230\u8868\u8fbe\u548c\u957f\u5ea6\u5dee\u5f02\uff0c\u4ece\u800c\u5728\u5171\u4eab\u7f16\u7801\u5668\u540e\u9762\u6dfb\u52a0\u4ea4\u53c9\u6ce8\u610f\u529b\u6b63\u5219\u5316\u6a21\u5757\uff08cross-attentive regularization module\uff09\u7684\uff0c\u6b63\u5219\u5316\u6a21\u5757\u9996\u5148\u901a\u8fc7\u81ea\u6ce8\u610f\u529b\u6216\u4ea4\u53c9\u6ce8\u610f\u529b\u4ece\u6587\u672c\u6216\u8bed\u97f3\u7f16\u7801\u5668\u751f\u6210\u4e24\u4e2a\u5177\u6709\u76f8\u540c\u957f\u5ea6\u7684\u91cd\u6784\u5e8f\u5217\uff0c\u7136\u540e\u4f18\u5316\u91cd\u6784\u5e8f\u5217\u4e4b\u95f4\u7684L2\u8ddd\u79bb\u3002<\/li><\/ul><\/li><\/ul>\n\n\n\n<h4 id=\"2.3%20Non-autoregressive%20Modeling\">Non-autoregressive Modeling<\/h4>\n\n\n\n<p>\u7aef\u5230\u7aef\u6a21\u578b\u76f8\u6bd4\u4e8e\u540c\u7b49\u7ea7\u7684\u7ea7\u8054\u7cfb\u7edf\u5927\u5927\u964d\u4f4e\u4e86\u8ba1\u7b97\u65f6\u5ef6\uff0c\u4f46\u662f\u8fd9\u79cd\u4f18\u52bf\u4ec5\u5728\u81ea\u56de\u5f52\u89e3\u7801\u7684\u60c5\u51b5\u4e0b\u6709\u6548\uff0c\u8fd9\u4e2a\u6280\u672f\u7814\u7a76\u6709\u4e24\u6761\u8def\u7ebf\uff1a<\/p>\n\n\n\n<ul><li>\u53c2\u8003\u81ea\u52a8\u8bed\u97f3\u8bc6\u522b\uff08ASR\uff09\u548c\u673a\u5668\u7ffb\u8bd1\uff08MT\uff09\u4efb\u52a1\u4e2d\u7684\u65b9\u6cd5\uff0c\u5982\u6761\u4ef6\u63a9\u7801\u8bed\u8a00\u6a21\u578b\u548c\u91cd\u65b0\u8bc4\u5206\u6280\u672f\uff0c\u6765\u5f00\u53d1\u975e\u81ea\u56de\u5f52\u8bed\u97f3\u7ffb\u8bd1\u6a21\u578b\u3002<\/li><li>\u63a2\u7d22\u66f4\u9ad8\u6548\u7684\u67b6\u6784\uff0c\u4f9d\u8d56\u7eaf\u7cb9\u7684CTC\uff08Connectionist Temporal Classification\uff09\u8fdb\u884c\u9884\u6d4b\uff0c\u4ee5\u63d0\u9ad8\u901f\u5ea6\u3002CTC \u662f\u4e00\u79cd\u7528\u4e8e\u5e8f\u5217\u6807\u7b7e\u4efb\u52a1\u7684\u635f\u5931\u51fd\u6570\uff0c\u5b83\u53ef\u4ee5\u7528\u4e8e\u8bad\u7ec3\u6a21\u578b\uff0c\u4f7f\u5176\u80fd\u591f\u5c06\u8f93\u5165\u5e8f\u5217\u6620\u5c04\u5230\u8f93\u51fa\u5e8f\u5217\u3002<\/li><\/ul>\n\n\n\n<h2>\u672a\u6765\u53d1\u5c55\uff1a<\/h2>\n\n\n\n<h4 id=\"LLM%EF%BC%88Large%20Language%20Model%EF%BC%89\">LLM\uff08Large Language Model\uff09<\/h4>\n\n\n\n<p>LLMs \u5305\u62ec ChatGPT\u3001Bloom\u7b49\u7b49\uff0c\u5b83\u4eec\u90fd\u6709\u975e\u5e38\u5f3a\u5927\u7684\u80fd\u529b\uff0c\u90a3\u4e48\u5982\u4f55\u5c06LLM\u5f3a\u5927\u7684\u751f\u6210\u80fd\u529b\u878d\u5165\u5230 ST \u7684\u4efb\u52a1\u4e2d\u53bb\uff0c\u4ee5\u53ca\u5982\u4f55\u5c06\u8bed\u97f3\u6570\u636e\u4e5f\u7eb3\u5165LLM \u7684\u8bad\u7ec3\u4e2d\u53bb\uff0c\u662f\u5f88\u503c\u5f97\u7814\u7a76\u7684\u65b9\u5411\u3002<\/p>\n\n\n\n<ul><li>\u7b2c\u4e00\u6b65\u6211\u4eec\u53ef\u4ee5\u5148\u4f18\u5316\u8bed\u97f3\u7684\u8868\u793a\uff0c\u4f7f\u5f97\u5176\u80fd\u591f\u4e0e\u6587\u672c\u7684\u8868\u793a\u76f8\u5ab2\u7f8e\u3002<ul><li>\u4f2a\u8bed\u8a00\u2014\u2014\u8bed\u97f3\u79bb\u6563\u8868\u793a\uff08speech discrete representations as pseudo-language\uff09\u5c31\u662f\u4e00\u4e2a\u4e0d\u9519\u7684\u65b9\u5411\u3002<\/li><\/ul><\/li><li>\u6b64\u5916\uff0c\u9884\u8bad\u7ec3\u5927\u89c4\u6a21 acoustics-aware LLMs \u4e5f\u662f\u4e00\u4e2a\u5f88 promising \u7684\u65b9\u5411\u3002<\/li><\/ul>\n\n\n\n<h4 id=\"Multimodality%EF%BC%88%E5%A4%9A%E6%A8%A1%E6%80%81%EF%BC%89\"><a><\/a>Multimodality\uff08\u591a\u6a21\u6001\uff09<\/h4>\n\n\n\n<p>\u4eba\u5de5\u667a\u80fd\u751f\u6210\u7684\u6587\u672c\u3001\u56fe\u50cf\u3001\u8bed\u97f3\u3001\u89c6\u9891\u7b49\u591a\u6a21\u6001\u4fe1\u606f\u7206\u53d1\uff0c\u63a8\u52a8\u4e86ST\u9886\u57df\u53bb\u63a2\u7d22<strong>\u66f4\u52a0\u590d\u6742\u7684\u4eba\u673a\u4ea4\u4e92\uff08HCI\uff0chuman-computer interaction\uff09\u573a\u666f<\/strong>\u7684\u7814\u7a76\uff0c\u6bd4\u5982\u4ea4\u6d41\u7ffb\u8bd1\uff08speech-to-speech translation\uff09\uff0c\u89c6\u9891\u7ffb\u8bd1\u7b49\u7b49\u3002<\/p>\n\n\n\n<p>\u800c\u591a\u6a21\u6001\u6570\u636e\u7206\u70b8\u5f0f\u7684\u589e\u957f\u4e5f\u81f4\u4f7f\u5728\u591a\u6a21\u6001\u6570\u636e\u4e0a\u8fdb\u884c<strong>\u4e0a\u4e0b\u6587\u5b66\u4e60\uff08ICL\uff0cIn-Context Learning\uff09<\/strong>\u4e5f\u6210\u4e3a\u4e86\u4e00\u4e2a\u5f88\u6709\u524d\u9014\u7684\u7814\u7a76\u65b9\u5411\uff0c\u4ee5\u66f4\u597d\u5730\u7406\u89e3\u548c\u5229\u7528\u4e0d\u540c\u6a21\u6001\u6570\u636e\u4e4b\u95f4\u7684\u5173\u8054\uff0c\u4ece\u800c\u5b9e\u73b0\u66f4\u51c6\u786e\u3001\u66f4\u7efc\u5408\u7684\u591a\u6a21\u6001\u5206\u6790\u548c\u5e94\u7528\u3002<\/p>\n\n\n\n<p><strong>\u591a\u6a21\u6001\u9884\u8bad\u7ec3<\/strong>\u4e5f\u88ab\u8bc1\u660e\u5728\u8bb8\u591a\u9886\u57df\u4e2d\u90fd\u662f\u6709\u6548\u7684\u3002<\/p>\n\n\n\n<p><strong>\u591a\u6a21\u6001\u4e4b\u95f4\u7684\u4fe1\u606f\u4ea4\u4e92\u548c\u5173\u8054<\/strong>\u4e5f\u6709\u5f85\u88ab\u53d1\u6398\uff0c\u6bd4\u5982\u89c6\u9891\u4e2d\u89d2\u8272\u7684\u8bed\u97f3\u548c\u540c\u4e00\u65f6\u95f4\u6bb5\u89d2\u8272\u7684\u56fe\u50cf\u5e27\u3001\u97f5\u5f8b\u73af\u5883\uff08prosodic environments\uff0c\u6bd4\u5982\u58f0\u8c03\uff0c\u97f3\u9ad8\uff0c\u97f3\u91cf\uff0c\u8bed\u901f\uff0c\u505c\u987f\u7b49\u7b49\uff0c\u53ef\u4ee5\u4f20\u8fbe\u8bed\u8a00\u7684\u60c5\u611f\u3001\u8bed\u6c14\u7b49\uff09\u4e4b\u95f4\u7684\u5173\u8054\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u8bed\u97f3\u7ffb\u8bd1\u7efc\u8ff0\uff1aRecent Advances in Direct Speech-to-text Transla &hellip; <a href=\"http:\/\/139.9.1.231\/index.php\/2025\/06\/12\/recent-advances-in-direct-speech-to-text-translation\/\" class=\"more-link\">\u7ee7\u7eed\u9605\u8bfb<span class=\"screen-reader-text\">\u8bed\u97f3\u7ffb\u8bd1\u7efc\u8ff0\uff1aRecent Advances in Direct Speech-to-text Translation<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[9,38,34],"tags":[],"_links":{"self":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/26662"}],"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=26662"}],"version-history":[{"count":30,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/26662\/revisions"}],"predecessor-version":[{"id":26695,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/26662\/revisions\/26695"}],"wp:attachment":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/media?parent=26662"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/categories?post=26662"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/tags?post=26662"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}