{"id":31076,"date":"2026-07-11T14:34:37","date_gmt":"2026-07-11T06:34:37","guid":{"rendered":"http:\/\/139.9.1.231\/?p=31076"},"modified":"2026-07-11T14:34:38","modified_gmt":"2026-07-11T06:34:38","slug":"dolphin-cn-dialect","status":"publish","type":"post","link":"http:\/\/139.9.1.231\/index.php\/2026\/07\/11\/dolphin-cn-dialect\/","title":{"rendered":"Dolphin-CN-Dialect\u6c49\u8bed\u591a\u65b9\u8a00\u8bed\u97f3\u8bc6\u522b\u6a21\u578b"},"content":{"rendered":"\n<ul class=\"has-light-gray-background-color has-background\"><li><strong>Github\uff1a<\/strong>https:\/\/github.com\/DataoceanAI\/Dolphin<\/li><li><strong>ModelScope\uff1a<\/strong>https:\/\/modelscope.cn\/organization\/DataoceanAI<\/li><li><strong>HuggingFace\uff1a<\/strong>https:\/\/huggingface.co\/DataoceanAI<\/li><li><strong>\u6280\u672f\u62a5\u544a<\/strong>: <strong><em><a href=\"http:\/\/arxiv.org\/abs\/2605.08961\">http:\/\/arxiv.org\/abs\/2605.08961<\/a><\/em><\/strong><\/li><\/ul>\n\n\n\n<p><strong>Dolphin-CN-Dialect<\/strong>&nbsp;\u662f\u7531 Dataocean AI \u4e0e\u6e05\u534e\u5927\u5b66\u8054\u5408\u5f00\u53d1\u7684\u591a\u65b9\u8a00\u8bed\u97f3\u8bc6\u522b\uff08ASR\uff09\u6a21\u578b\uff0c\u4e13\u6ce8\u4e8e\u4e2d\u6587\u65b9\u8a00\u8bc6\u522b\u53ca\u5b9e\u9645\u90e8\u7f72\u573a\u666f\u3002\u76f8\u8f83\u4e8e\u4e4b\u524d\u7684 Dolphin \u7cfb\u5217\uff0cDolphin-CN-Dialect \u5728\u5206\u8bcd\u5668\u8bbe\u8ba1\u3001\u65b9\u8a00\u5747\u8861\u8bad\u7ec3\u3001<strong>\u6d41\u5f0f\u5904\u7406\u80fd\u529b<\/strong>\u3001\u70ed\u8bcd\u504f\u7f6e\u4ee5\u53ca\u90e8\u7f72\u6548\u7387\u7b49\u65b9\u9762\u5747\u5b9e\u73b0\u4e86\u663e\u8457\u6539\u8fdb\u3002<\/p>\n\n\n\n<p>\u8be5\u6a21\u578b\u652f\u6301\u666e\u901a\u8bdd\u53ca 22 \u79cd\u4e2d\u6587\u65b9\u8a00\uff0c\u540c\u65f6\u4fdd\u7559\u4e86 Dolphin \u7cfb\u5217\u539f\u6709\u7684\u591a\u8bed\u8a00 ASR \u80fd\u529b\u3002Dolphin-CN-Dialect \u540c\u65f6\u652f\u6301\u6d41\u5f0f\u4e0e\u975e\u6d41\u5f0f\u63a8\u7406\uff0c\u53ef\u5728\u5b9e\u65f6\u8f6c\u5f55\u548c\u5de5\u4e1a\u7ea7\u8bed\u97f3\u8bc6\u522b\u7cfb\u7edf\u7b49\u5bf9\u5ef6\u8fdf\u654f\u611f\u7684\u5e94\u7528\u4e2d\u5b9e\u73b0\u9ad8\u6548\u90e8\u7f72\u3002<\/p>\n\n\n\n<p>\u901a\u7528\u8bed\u97f3\u8bc6\u522b\u6a21\u578b\u5728\u666e\u901a\u8bdd\u4e0a\u8868\u73b0\u8d8a\u6765\u8d8a\u597d\uff0c\u4f46\u9762\u5bf9\u56db\u5ddd\u8bdd\u3001\u5434\u8bed\u3001\u95fd\u5357\u8bed\u3001\u4e0a\u6d77\u8bdd\u3001\u6e29\u5dde\u8bdd\u7b49\u65b9\u8a00\u6216\u5f3a\u53e3\u97f3\u8bed\u97f3\u65f6\uff0c\u9519\u8bef\u7387\u4ecd\u7136\u5f88\u9ad8\u3002Dolphin-CN-Dialect \u7684\u76ee\u6807\u4e0d\u662f\u5355\u7eaf\u5806\u5927\u6a21\u578b\uff0c\u800c\u662f\u5728\u8f83\u5c0f\u53c2\u6570\u89c4\u6a21\u4e0b\uff0c\u628a\u4e2d\u6587\u591a\u65b9\u8a00\u8bc6\u522b\u3001\u6d41\u5f0f\u63a8\u7406\u3001\u70ed\u8bcd\u589e\u5f3a\u548c\u90e8\u7f72\u6548\u7387\u505a\u6210\u4e00\u4e2a\u5b9e\u7528\u7cfb\u7edf\u3002<\/p>\n\n\n\n<p>\u8bba\u6587\u7684\u6838\u5fc3\u7ed3\u8bba\u53ef\u4ee5\u6982\u62ec\u4e3a\uff1a\u901a\u8fc7\u6e29\u5ea6\u91c7\u6837\u7f13\u89e3\u65b9\u8a00\u6570\u636e\u957f\u5c3e\uff0c\u901a\u8fc7\u4e2d\u6587\u5b57\u7b26\u7ea7 tokenizer \u6539\u5584 CTC-AED \u5bf9\u9f50\uff0c\u901a\u8fc7\u6d41\u5f0f\/\u975e\u6d41\u5f0f\u7edf\u4e00\u63a8\u7406\u4e0e\u70ed\u8bcd\u589e\u5f3a\u63d0\u5347\u843d\u5730\u80fd\u529b\uff0cDolphin-CN-Dialect-0.4B \u5728\u591a\u65b9\u8a00\u5e73\u5747 CER \u4e0a\u8fbe\u5230 5.74%\uff0c\u5728 sub-1B \u6a21\u578b\u7ec4\u91cc\u660e\u663e\u4f18\u4e8e Paraformer\u3001SenseVoice\u3001Qwen3-0.6B \u548c FunASR-Nano\u3002<\/p>\n\n\n\n<h2>1. \u80cc\u666f\uff1a\u4e2d\u6587 ASR \u7684\u96be\u70b9\u4e0d\u53ea\u662f\u666e\u901a\u8bdd<\/h2>\n\n\n\n<p>\u8fd1\u51e0\u5e74 ASR \u7684\u4e3b\u6d41\u8def\u7ebf\u5927\u81f4\u5305\u62ec\u4e09\u7c7b\uff1a\u81ea\u76d1\u7763\u8bed\u97f3\u6a21\u578b\u3001LLM \u96c6\u6210\u5f0f\u6a21\u578b\uff0c\u4ee5\u53ca Whisper \u98ce\u683c\u7684\u5927\u89c4\u6a21\u76d1\u7763\u6216\u5f31\u76d1\u7763\u5e8f\u5217\u5230\u5e8f\u5217\u6a21\u578b\u3002\u8fd9\u4e9b\u6a21\u578b\u5728\u516c\u5f00\u666e\u901a\u8bdd\u6d4b\u8bd5\u96c6\u4e0a\u5df2\u7ecf\u5f88\u5f3a\uff0c\u4f46\u771f\u5b9e\u5e94\u7528\u4e2d\u7684\u4e2d\u6587\u8bed\u97f3\u8fdc\u6bd4\u6807\u51c6\u666e\u901a\u8bdd\u590d\u6742\uff1a\u8bf4\u8bdd\u4eba\u53ef\u80fd\u5e26\u6709\u660e\u663e\u5730\u533a\u53e3\u97f3\uff0c\u751a\u81f3\u76f4\u63a5\u4f7f\u7528\u65b9\u8a00\uff1b\u8bed\u97f3\u957f\u5ea6\u3001\u5f55\u97f3\u8bbe\u5907\u3001\u566a\u58f0\u73af\u5883\u3001\u8bf4\u8bdd\u98ce\u683c\u4e5f\u9ad8\u5ea6\u4e0d\u4e00\u81f4\u3002<\/p>\n\n\n\n<p>\u62a5\u544a\u6307\u51fa\uff0c\u4e00\u4e2a\u5173\u952e\u95ee\u9898\u662f\u8bad\u7ec3\u6570\u636e\u7684\u957f\u5c3e\u5206\u5e03\u3002\u6807\u51c6\u666e\u901a\u8bdd\u6570\u636e\u901a\u5e38\u5360\u4e3b\u5bfc\uff0c\u4f4e\u8d44\u6e90\u65b9\u8a00\u6570\u636e\u8fdc\u5c11\u4e8e\u666e\u901a\u8bdd\u3002\u5982\u679c\u6309\u539f\u59cb\u6570\u636e\u6bd4\u4f8b\u8bad\u7ec3\uff0c\u6a21\u578b\u4f1a\u8fc7\u5ea6\u504f\u5411\u666e\u901a\u8bdd\uff1b\u5982\u679c\u7b80\u5355\u5e73\u5747\u91c7\u6837\u6bcf\u4e2a\u65b9\u8a00\uff0c\u53c8\u4f1a\u8fc7\u5ea6\u91cd\u590d\u5c11\u91cf\u65b9\u8a00\u6837\u672c\uff0c\u5e26\u6765\u8fc7\u62df\u5408\u3002Dolphin-CN-Dialect \u7684\u6570\u636e\u91c7\u6837\u7b56\u7565\u5c31\u662f\u56f4\u7ed5\u8fd9\u4e2a\u77db\u76fe\u8bbe\u8ba1\u7684\u3002<\/p>\n\n\n\n<h2>2. \u65b9\u6cd5\u603b\u89c8\uff1a\u4e0d\u662f\u6362\u9aa8\u5e72\uff0c\u800c\u662f\u8865\u9f50\u4e2d\u6587\u65b9\u8a00\u5de5\u7a0b\u94fe\u8def<\/h2>\n\n\n\n<p>Dolphin-CN-Dialect \u57fa\u672c\u6cbf\u7528 Dolphin \u7684\u6838\u5fc3 CTC-AED \u67b6\u6784\u4e0e\u8bad\u7ec3\u914d\u7f6e\u3002\u771f\u6b63\u7684\u6539\u52a8\u96c6\u4e2d\u5728\u51e0\u4e2a\u5de5\u7a0b\u5c42\u9762\uff1a\u6570\u636e\u91c7\u6837\u3001tokenizer\u3001\u8bad\u7ec3\u7a33\u5b9a\u6027\u3001\u6d41\u5f0f\u63a8\u7406\u3001\u70ed\u8bcd\u589e\u5f3a\u548c\u90e8\u7f72\u4f18\u5316\u3002\u8fd9\u4e2a\u53d6\u5411\u5f88\u91cd\u8981\uff0c\u56e0\u4e3a\u62a5\u544a\u5173\u6ce8\u7684\u662f\u201c\u80fd\u4e0d\u80fd\u5728\u771f\u5b9e\u4e2d\u6587\u591a\u65b9\u8a00\u573a\u666f\u4e2d\u7a33\u5b9a\u5de5\u4f5c\u201d\uff0c\u800c\u4e0d\u662f\u53ea\u5728\u67d0\u4e00\u4e2a\u6807\u51c6 benchmark \u4e0a\u5237\u5206\u3002<\/p>\n\n\n\n<p>\u4f5c\u8005\u5217\u51fa\u7684\u5173\u952e\u6539\u8fdb\u5305\u62ec\uff1a\u7528\u6e29\u5ea6\u91c7\u6837\u5e73\u8861\u666e\u901a\u8bdd\u548c\u4f4e\u8d44\u6e90\u65b9\u8a00\uff1b\u5c06\u8bcd\u8868\u4ece 40,000 \u7f29\u51cf\u5230 18,173\uff1b\u4e2d\u6587\u91c7\u7528\u5b57\u7b26\u7ea7\u5efa\u6a21\uff0c\u82f1\u6587\u548c\u5176\u4ed6\u62fc\u97f3\u6587\u5b57\u91c7\u7528 BPE subword\uff1b\u989d\u5916\u8bbe\u8ba1\u65b9\u8a00\/\u5730\u533a token\uff1b\u652f\u6301 streaming \u548c non-streaming\uff1b\u63d0\u4f9b encoder-level contextual biasing \u4e0e prompt-based hotword biasing \u4e24\u79cd\u70ed\u8bcd\u65b9\u6848\u3002<\/p>\n\n\n\n<h2>3. \u6570\u636e\u91c7\u6837\uff1a\u7528\u6e29\u5ea6\u7cfb\u6570\u5904\u7406\u957f\u5c3e\u65b9\u8a00<\/h2>\n\n\n\n<p>\u8bba\u6587\u5148\u5b9a\u4e49\u4e86\u4e24\u79cd\u6781\u7aef\u91c7\u6837\u7b56\u7565\u3002\u7b2c\u4e00\u79cd\u662f\u81ea\u7136\u91c7\u6837\uff0c\u5373\u7b2c <code>i<\/code> \u4e2a\u6570\u636e\u96c6\u7684\u91c7\u6837\u6982\u7387\u4e0e\u5b83\u7684\u6570\u636e\u91cf\u6210\u6b63\u6bd4\uff1a<\/p>\n\n\n\n\\(\np_i=\\frac{n_i}{\\sum_j n_j}\n\\)\n\n\n\n<p>\u8fd9\u79cd\u65b9\u5f0f\u4fdd\u7559\u4e86\u539f\u59cb\u5206\u5e03\uff0c\u4f46\u4f1a\u5bfc\u81f4\u666e\u901a\u8bdd\u5360\u6bd4\u8fc7\u9ad8\uff0c\u4f4e\u8d44\u6e90\u65b9\u8a00\u66dd\u5149\u4e0d\u8db3\u3002\u7b2c\u4e8c\u79cd\u662f\u5747\u5300\u91c7\u6837\uff0c\u6bcf\u4e2a\u65b9\u8a00\u6216\u6570\u636e\u96c6\u6982\u7387\u76f8\u540c\uff1a<\/p>\n\n\n\n\\(\np_i=\\frac{1}{N}\n\\)\n\n\n\n<p>\u5747\u5300\u91c7\u6837\u80fd\u663e\u8457\u589e\u52a0\u4f4e\u8d44\u6e90\u65b9\u8a00\u7684\u8bad\u7ec3\u673a\u4f1a\uff0c\u4f46\u4f1a\u53cd\u590d\u91c7\u6837\u6781\u5c0f\u6570\u636e\u96c6\uff0c\u5bb9\u6613\u8fc7\u62df\u5408\uff0c\u4e5f\u53ef\u80fd\u635f\u5bb3\u666e\u901a\u8bdd\u548c\u6574\u4f53\u6cdb\u5316\u3002Dolphin-CN-Dialect \u91c7\u7528\u7b2c\u4e09\u79cd\u6298\u4e2d\u65b9\u5f0f\uff1a\u6e29\u5ea6\u91c7\u6837\u3002<\/p>\n\n\n\n\\(\np_i=\\frac{n_i^{\\alpha}}{\\sum_j n_j^{\\alpha}}\n\\)\n\n\n\n<p>\u5176\u4e2d <code>n_i<\/code> \u662f\u7b2c <code>i<\/code> \u4e2a\u6570\u636e\u96c6\u5927\u5c0f\uff0c<code>\u03b1<\/code> \u4f4d\u4e8e 0 \u5230 1 \u4e4b\u95f4\u3002<code>\u03b1=1<\/code> \u65f6\u9000\u5316\u4e3a\u81ea\u7136\u91c7\u6837\uff0c<code>\u03b1=0<\/code> \u65f6\u53d8\u6210\u5747\u5300\u91c7\u6837\u3002\u53d6\u4e2d\u95f4\u503c\u53ef\u4ee5\u63d0\u5347\u4f4e\u8d44\u6e90\u65b9\u8a00\u91c7\u6837\u6982\u7387\uff0c\u540c\u65f6\u4fdd\u7559\u9ad8\u8d44\u6e90\u666e\u901a\u8bdd\u6570\u636e\u7684\u5f71\u54cd\u3002\u62a5\u544a\u79f0\uff0c\u8fd9\u4e00\u7b56\u7565\u5e26\u6765\u4e86 38% \u7684\u65b9\u8a00\u8bc6\u522b\u51c6\u786e\u7387\u63d0\u5347\u548c 16.3% \u7684\u6574\u4f53 CER \u76f8\u5bf9\u4e0b\u964d\uff0c\u666e\u901a\u8bdd\u6027\u80fd\u53ea\u51fa\u73b0\u7ea6 0.2% \u7684\u8fb9\u9645\u9000\u5316\u3002<\/p>\n\n\n\n<h2>4. Tokenizer\uff1a\u4e2d\u6587\u7528\u5b57\u7b26\u7ea7\uff0c\u65b9\u8a00\u7528\u53ef\u6269\u5c55 token<\/h2>\n\n\n\n<p>Tokenizer \u662f\u8fd9\u7bc7\u62a5\u544a\u91cc\u5bb9\u6613\u88ab\u4f4e\u4f30\u7684\u4e00\u90e8\u5206\u3002Dolphin-CN-Dialect \u5c06\u8bcd\u8868\u4ece 40,000 \u964d\u5230 18,173\u3002\u5bf9\u4e2d\u6587\uff0c\u62a5\u544a\u91c7\u7528\u5b57\u7b26\u7ea7\u5efa\u6a21\uff0c\u56e0\u4e3a\u4e2d\u6587\u5b57\u7b26\u5929\u7136\u9002\u5408 CTC-AED \u7684\u5355\u8c03\u5bf9\u9f50\uff1b\u5bf9\u82f1\u6587\u548c\u5176\u4ed6\u62fc\u97f3\u6587\u5b57\uff0c\u5219\u7ee7\u7eed\u91c7\u7528 BPE subword\uff0c\u4ee5\u5e73\u8861\u8bcd\u8868\u89c4\u6a21\u548c\u8868\u8fbe\u80fd\u529b\u3002<\/p>\n\n\n\n<p>\u6b64\u5916\uff0c\u6a21\u578b\u5f15\u5165\u4e86\u7ed3\u6784\u5316\u7279\u6b8a token\uff0c\u5305\u62ec\u4efb\u52a1 token\u3001\u7ed3\u675f token\u3001\u65f6\u95f4\u6233 token\u3001\u65b9\u8a00\/\u5730\u533a token\uff0c\u5e76\u9884\u7559 80 \u4e2a\u989d\u5916\u65b9\u8a00 token \u69fd\u4f4d\u3002\u8fd9\u610f\u5473\u7740\u540e\u7eed\u5982\u679c\u8981\u652f\u6301\u66f4\u7ec6\u7c92\u5ea6\u7684\u5730\u533a\u53d8\u4f53\uff0c\u4e0d\u9700\u8981\u5b8c\u5168\u91cd\u505a tokenizer\u3002\u8fd9\u662f\u4e00\u4e2a\u660e\u786e\u9762\u5411\u53ef\u6269\u5c55\u90e8\u7f72\u7684\u8bbe\u8ba1\u3002<\/p>\n\n\n\n<h2>5. \u70ed\u8bcd\u589e\u5f3a\uff1a\u540c\u65f6\u505a encoder-level \u548c prompt-based biasing<\/h2>\n\n\n\n<p>\u5b9e\u9645 ASR \u7cfb\u7edf\u7ecf\u5e38\u9700\u8981\u8bc6\u522b\u4e13\u6709\u540d\u8bcd\u3001\u4eba\u540d\u3001\u5730\u540d\u3001\u4ea7\u54c1\u540d\u3001\u672f\u8bed\u7b49\u70ed\u8bcd\u3002\u62a5\u544a\u5c06\u70ed\u8bcd\u589e\u5f3a\u5206\u4e3a\u4e24\u6761\u8def\u7ebf\u3002\u7b2c\u4e00\u6761\u662f encoder-level contextual biasing\uff0c\u7528\u4e0a\u4e0b\u6587 embedding \u5728\u7f16\u7801\u5668\u4fa7\u5f15\u5bfc\u6a21\u578b\uff1b\u7b2c\u4e8c\u6761\u662f prompt-based hotword biasing\uff0c\u628a\u70ed\u8bcd\u4ee5\u63d0\u793a\u5f62\u5f0f\u4ea4\u7ed9\u89e3\u7801\u5668\uff0c\u4f7f\u6a21\u578b\u5728\u751f\u6210\u65f6\u66f4\u504f\u5411\u8fd9\u4e9b\u8bcd\u3002<\/p>\n\n\n\n<p>\u8fd9\u4e24\u79cd\u65b9\u5f0f\u5404\u6709\u53d6\u820d\u3002encoder-level \u65b9\u6cd5\u66f4\u7a33\u5b9a\u3001\u53ef\u63a7\uff0c\u9002\u5408\u5e38\u89c4\u70ed\u8bcd\u589e\u5f3a\uff1bprompt-based \u65b9\u6cd5\u66f4\u76f4\u63a5\uff0c\u5c24\u5176\u9002\u5408\u957f\u5c3e\u6216\u7f55\u89c1\u70ed\u8bcd\uff0c\u4f46\u4e5f\u66f4\u4f9d\u8d56\u89e3\u7801\u5668\u5bf9\u63d0\u793a\u7684\u5229\u7528\u80fd\u529b\u3002\u62a5\u544a\u5206\u522b\u5728 AISHELL \u548c CommonVoice \u6784\u9020\u70ed\u8bcd\u6d4b\u8bd5\u96c6\uff0c\u5e76\u7edf\u8ba1 WER\u3001BWER\u3001UWER \u548c RER\u3002<\/p>\n\n\n\n<h2>6. \u5b9e\u9a8c\u7ed3\u679c\uff1a0.4B \u6a21\u578b\u5728\u65b9\u8a00\u4e0a\u5f88\u6709\u7ade\u4e89\u529b<\/h2>\n\n\n\n<p>\u591a\u65b9\u8a00 CER \u662f\u8fd9\u7bc7\u62a5\u544a\u6700\u5173\u952e\u7684\u7ed3\u679c\u4e4b\u4e00\u3002\u4e0b\u8868\u6458\u53d6\u5e73\u5747 CER \u4e0e\u51e0\u4e2a\u4ee3\u8868\u6a21\u578b\uff0c\u6570\u503c\u8d8a\u4f4e\u8d8a\u597d\u3002<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><thead><tr><th>\u6a21\u578b<\/th><th>\u53c2\u6570\u91cf<\/th><th>\u591a\u65b9\u8a00\u5e73\u5747 CER<\/th><th>\u8bf4\u660e<\/th><\/tr><\/thead><tbody><tr><td>Paraformer_zh<\/td><td>220M<\/td><td>22.76<\/td><td>\u4f20\u7edf\u4e2d\u6587 ASR baseline<\/td><\/tr><tr><td>SenseVoice-S<\/td><td>234M<\/td><td>18.80<\/td><td>\u5c0f\u578b\u5f00\u6e90 ASR \u6a21\u578b<\/td><\/tr><tr><td>Dolphin-CN-Dialect-0.1B<\/td><td>0.1B<\/td><td>10.46<\/td><td>\u5c0f\u53c2\u6570\u7248\u672c<\/td><\/tr><tr><td>Dolphin-CN-Dialect-0.4B<\/td><td>0.4B<\/td><td><strong>5.74<\/strong><\/td><td>sub-1B \u7ec4\u6700\u4f73<\/td><\/tr><tr><td>Qwen3-0.6B<\/td><td>0.6B<\/td><td>12.74<\/td><td>\u66f4\u5927\u4f46\u65b9\u8a00\u5e73\u5747\u4e0d\u5982 Dolphin-CN-Dialect<\/td><\/tr><tr><td>FunASR-Nano-2512<\/td><td>0.8B<\/td><td>12.73<\/td><td>sub-1B \u5bf9\u6bd4\u6a21\u578b<\/td><\/tr><tr><td>FireRed-AED<\/td><td>1.2B<\/td><td><strong>6.85<\/strong><\/td><td>billion-scale \u7ec4\u6700\u4f73\u4e4b\u4e00<\/td><\/tr><tr><td>Qwen3-1.7B<\/td><td>1.7B<\/td><td>10.04<\/td><td>\u5927\u6a21\u578b\u5bf9\u6bd4<\/td><\/tr><tr><td>FireRed-LLM<\/td><td>8.3B<\/td><td>7.17<\/td><td>\u5927\u53c2\u6570 LLM-ASR \u5bf9\u6bd4<\/td><\/tr><\/tbody><\/table><figcaption>\u591a\u65b9\u8a00\u5e73\u5747 CER \u6458\u8981\u3002Dolphin-CN-Dialect-0.4B \u5728 sub-1B \u7ec4\u53d6\u5f97\u6700\u4f4e\u5e73\u5747 CER\uff0c\u751a\u81f3\u4f18\u4e8e\u90e8\u5206 billion-scale \u6a21\u578b\u3002<\/figcaption><\/figure>\n\n\n\n<p>\u4ece\u5206\u65b9\u8a00\u7ed3\u679c\u770b\uff0cDolphin-CN-Dialect-0.4B \u5728\u53f0\u6e7e\u666e\u901a\u8bdd\u3001\u56db\u5ddd\u8bdd\u3001\u5434\u8bed\u3001\u95fd\u5357\u8bed\u3001\u4e0a\u6d77\u8bdd\u3001\u7518\u8083\u3001\u5c71\u4e1c\u3001\u4e91\u5357\u3001\u6cb3\u5317\u3001\u5b89\u5fbd\u3001\u8fbd\u5b81\u3001\u798f\u5efa\u3001\u6e56\u5357\u3001\u6e29\u5dde\u3001\u6e56\u5317\u3001\u6cb3\u5357\u3001\u5929\u6d25\u3001\u9655\u897f\u3001\u5b81\u590f\u7b49\u591a\u6570\u65b9\u8a00\/\u5730\u533a\u6d4b\u8bd5\u4e0a\u90fd\u53d6\u5f97 sub-1B \u7ec4\u6700\u4f18\u3002\u5b83\u4e0d\u662f\u53ea\u5728\u5c11\u6570\u65b9\u8a00\u4e0a\u63d0\u5347\uff0c\u800c\u662f\u6574\u4f53\u964d\u4f4e\u4e86\u4e2d\u6587\u533a\u57df\u8bed\u97f3\u8bc6\u522b\u9519\u8bef\u7387\u3002<\/p>\n\n\n\n<h2>7. \u5f00\u653e\u6d4b\u8bd5\u96c6\uff1aKeSpeech \u548c Common Voice tw<\/h2>\n\n\n\n<p>\u62a5\u544a\u8fd8\u5728 KeSpeech \u548c Common Voice \u7684\u53f0\u6e7e\u4e2d\u6587\u5b50\u96c6\u4e0a\u505a\u4e86\u6bd4\u8f83\u3002Dolphin-CN-Dialect-0.4B \u5728\u4e24\u4e2a\u6d4b\u8bd5\u96c6\u4e0a\u5206\u522b\u8fbe\u5230 5.04 \u548c 5.62 CER\uff0c\u5728 sub-1B \u7ec4\u4e2d\u6700\u597d\u3002<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><thead><tr><th>\u6a21\u578b<\/th><th>\u53c2\u6570\u91cf<\/th><th>KeSpeech CER<\/th><th>CV-tw CER<\/th><\/tr><\/thead><tbody><tr><td>Dolphin-CN-Dialect-0.1B<\/td><td>0.1B<\/td><td>8.797<\/td><td>8.964<\/td><\/tr><tr><td>SenseVoice-S<\/td><td>234M<\/td><td>17.84<\/td><td>19.41<\/td><\/tr><tr><td>Paraformer_zh<\/td><td>220M<\/td><td>14.46<\/td><td>8.18<\/td><\/tr><tr><td>Dolphin-CN-Dialect-0.4B<\/td><td>0.4B<\/td><td><strong>5.04<\/strong><\/td><td><strong>5.62<\/strong><\/td><\/tr><tr><td>Qwen3-0.6B<\/td><td>0.6B<\/td><td>7.07<\/td><td>5.92<\/td><\/tr><tr><td>FunASR-Nano-2512<\/td><td>0.8B<\/td><td>7.85<\/td><td>5.64<\/td><\/tr><tr><td>FireRed-AED<\/td><td>1.2B<\/td><td>3.97<\/td><td><strong>1.61<\/strong><\/td><\/tr><tr><td>Qwen3-1.7B<\/td><td>1.7B<\/td><td>5.73<\/td><td>3.92<\/td><\/tr><tr><td>FireRed-LLM<\/td><td>8.3B<\/td><td><strong>3.58<\/strong><\/td><td>4.20<\/td><\/tr><\/tbody><\/table><figcaption>KeSpeech \u548c Common Voice tw \u7ed3\u679c\u3002Dolphin-CN-Dialect-0.4B \u5728 sub-1B \u6a21\u578b\u4e2d\u8868\u73b0\u6700\u5f3a\u3002<\/figcaption><\/figure>\n\n\n\n<h2>8. \u70ed\u8bcd\u7ed3\u679c\uff1a\u964d\u4f4e BWER\uff0c\u4f46\u53ef\u80fd\u727a\u7272\u5c11\u91cf UWER<\/h2>\n\n\n\n<p>\u70ed\u8bcd\u5b9e\u9a8c\u4e2d\uff0c\u62a5\u544a\u533a\u5206\u6574\u4f53 WER\u3001\u70ed\u8bcd\u76f8\u5173\u9519\u8bef BWER\uff0c\u4ee5\u53ca\u975e\u70ed\u8bcd\u9519\u8bef UWER\u3002\u4e00\u4e2a\u5178\u578b\u73b0\u8c61\u662f\uff1a\u52a0\u5165\u70ed\u8bcd\u540e\uff0cBWER \u4f1a\u663e\u8457\u4e0b\u964d\uff0c\u4f46 UWER \u53ef\u80fd\u7565\u5fae\u4e0a\u5347\u3002\u8fd9\u8bf4\u660e\u70ed\u8bcd biasing \u4f1a\u628a\u6a21\u578b\u6ce8\u610f\u529b\u63a8\u5411\u70ed\u8bcd\uff0c\u63d0\u5347\u4e13\u540d\u548c\u5173\u952e\u8bcd\u53ec\u56de\uff0c\u4f46\u4e5f\u53ef\u80fd\u5e26\u6765\u5c11\u91cf\u975e\u70ed\u8bcd\u8bef\u8bc6\u522b\u3002<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><thead><tr><th>\u6570\u636e\u96c6<\/th><th>\u65b9\u6cd5<\/th><th>\u65e0\u70ed\u8bcd WER<\/th><th>\u6709\u70ed\u8bcd WER<\/th><th>RER<\/th><\/tr><\/thead><tbody><tr><td>AISHELL<\/td><td>Dolphin-CN-Dialect encoder-level attention<\/td><td>1.20<\/td><td><strong>1.09<\/strong><\/td><td>9.20%<\/td><\/tr><tr><td>AISHELL<\/td><td>Dolphin-CN-Dialect encoder-level rescoring<\/td><td>1.23<\/td><td>1.10<\/td><td>10.6%<\/td><\/tr><tr><td>CommonVoice<\/td><td>Dolphin-CN-Dialect encoder-level attention<\/td><td>7.54<\/td><td><strong>6.95<\/strong><\/td><td>7.8%<\/td><\/tr><tr><td>CommonVoice<\/td><td>Dolphin-CN-Dialect encoder-level rescoring<\/td><td>7.63<\/td><td>7.03<\/td><td><strong>7.9%<\/strong><\/td><\/tr><tr><td>AISHELL<\/td><td>Dolphin-CN-Dialect prompt-based<\/td><td>1.26<\/td><td><strong>1.11<\/strong><\/td><td>11.9%<\/td><\/tr><tr><td>CommonVoice<\/td><td>Dolphin-CN-Dialect prompt-based<\/td><td>7.11<\/td><td><strong>6.08<\/strong><\/td><td><strong>14.5%<\/strong><\/td><\/tr><\/tbody><\/table><figcaption>\u70ed\u8bcd\u589e\u5f3a\u7ed3\u679c\u6458\u8981\u3002prompt-based \u65b9\u6cd5\u5728 CommonVoice \u957f\u5c3e\u70ed\u8bcd\u573a\u666f\u4e0a\u76f8\u5bf9\u6536\u76ca\u66f4\u9ad8\u3002<\/figcaption><\/figure>\n\n\n\n<h2>9. \u5de5\u7a0b\u95ee\u9898\uff1a\u6d41\u5f0f\u6a21\u578b\u7684 CTC \u5220\u9664\u9519\u8bef<\/h2>\n\n\n\n<p>\u62a5\u544a\u4e13\u95e8\u63d0\u5230\u4e00\u4e2a\u5de5\u7a0b\u95ee\u9898\uff1a\u6d41\u5f0f\u6a21\u578b\u5728 WenetSpeech \u4e0a\u51fa\u73b0 CTC decoding degradation\uff0c\u8868\u73b0\u4e3a\u5220\u9664\u9519\u8bef\u7387\u504f\u9ad8\uff0c\u4e5f\u5c31\u662f\u6a21\u578b\u66f4\u5bb9\u6613\u6f0f\u6389 token\u3002\u4f5c\u8005\u901a\u8fc7\u6d88\u878d\u53d1\u73b0\uff0c\u6839\u56e0\u4e0e\u8bad\u7ec3\u548c\u6d4b\u8bd5\u8bed\u97f3\u957f\u5ea6\u5206\u5e03\u4e0d\u5339\u914d\u6709\u5173\uff1a\u8bad\u7ec3\u96c6\u4e2d\u77ed\u8bed\u97f3\u4e0d\u8db3\uff0c\u800c\u6d4b\u8bd5\u96c6\u5305\u542b\u5927\u91cf\u77ed\u97f3\u9891\u3002<\/p>\n\n\n\n<p>\u89e3\u51b3\u529e\u6cd5\u4e0d\u662f\u6539\u7f51\u7edc\uff0c\u800c\u662f\u6539\u6570\u636e\uff1a\u589e\u5f3a\u77ed\u8bed\u97f3\u6837\u672c\u8986\u76d6\uff0c\u4f7f\u6a21\u578b\u5728\u8bad\u7ec3\u65f6\u89c1\u5230\u66f4\u591a\u77ed\u65f6\u957f\u8f93\u5165\u3002\u8fd9\u4e00\u70b9\u5f88\u5de5\u7a0b\u5316\uff0c\u4f46\u5f88\u91cd\u8981\u3002ASR \u7cfb\u7edf\u7684\u771f\u5b9e\u6027\u80fd\u7ecf\u5e38\u88ab\u6570\u636e\u5206\u5e03\u95ee\u9898\u9650\u5236\uff0c\u800c\u4e0d\u662f\u88ab\u6a21\u578b\u7ed3\u6784\u672c\u8eab\u9650\u5236\u3002<\/p>\n\n\n\n<p>Dolphin-CN-Dialect \u7684\u8d21\u732e\u4e0d\u5728\u4e8e\u63d0\u51fa\u4e00\u4e2a\u5168\u65b0\u7684 ASR backbone\uff0c\u800c\u5728\u4e8e\u628a\u4e2d\u6587\u591a\u65b9\u8a00 ASR \u91cc\u5bb9\u6613\u88ab\u5ffd\u7565\u7684\u5b9e\u9645\u95ee\u9898\u7cfb\u7edf\u5904\u7406\u4e86\u4e00\u904d\uff1a\u957f\u5c3e\u91c7\u6837\u3001\u4e2d\u6587\u5b57\u7b26\u7ea7\u5bf9\u9f50\u3001\u65b9\u8a00 token \u6269\u5c55\u3001\u6d41\u5f0f\u63a8\u7406\u3001\u70ed\u8bcd\u589e\u5f3a\u3001\u77ed\u8bed\u97f3\u8986\u76d6\u548c\u90e8\u7f72\u4f18\u5316\u3002\u5bf9\u4e2d\u6587 ASR \u6765\u8bf4\uff0c\u8fd9\u4e9b\u95ee\u9898\u5f80\u5f80\u6bd4\u5355\u7eaf\u6269\u5927\u6a21\u578b\u66f4\u5173\u952e\u3002<\/p>\n\n\n\n<p>\u4ece\u7ed3\u679c\u770b\uff0c0.4B \u7248\u672c\u662f\u4e00\u4e2a\u6bd4\u8f83\u5b9e\u7528\u7684\u5e73\u8861\u70b9\u3002\u5b83\u5728\u591a\u65b9\u8a00\u5e73\u5747 CER \u4e0a\u8fbe\u5230 5.74\uff0c\u5728 KeSpeech \u548c CV-tw \u4e0a\u4e5f\u660e\u663e\u4f18\u4e8e\u5176\u4ed6 sub-1B \u6a21\u578b\u3002\u5bf9\u9700\u8981\u4e2d\u6587\u666e\u901a\u8bdd\u3001\u65b9\u8a00\u3001\u53e3\u97f3\u3001\u70ed\u8bcd\u548c\u4f4e\u5ef6\u8fdf\u540c\u65f6\u517c\u987e\u7684\u5e94\u7528\uff0c\u8fd9\u7c7b\u8bbe\u8ba1\u6bd4\u4e00\u4e2a\u5355\u7eaf\u201c\u66f4\u5927\u201d\u7684\u6a21\u578b\u66f4\u6709\u90e8\u7f72\u4ef7\u503c\u3002<\/p>\n\n\n\n<h2>11. \u603b\u7ed3<\/h2>\n\n\n\n<p>Dolphin-CN-Dialect \u662f\u4e00\u4e2a\u9762\u5411\u4e2d\u6587\u591a\u65b9\u8a00\u771f\u5b9e\u573a\u666f\u7684 ASR \u6280\u672f\u62a5\u544a\uff0c\u5b83\u7528\u6e29\u5ea6\u91c7\u6837\u89e3\u51b3\u65b9\u8a00\u6570\u636e\u4e0d\u5747\u8861\uff0c\u7528\u4e2d\u6587\u53cb\u597d\u7684 tokenizer \u6539\u5584\u5bf9\u9f50\u548c\u8868\u8fbe\uff0c\u7528\u70ed\u8bcd\u589e\u5f3a\u8986\u76d6\u4e13\u540d\u957f\u5c3e\uff0c\u5e76\u5728\u8f83\u5c0f\u53c2\u6570\u89c4\u6a21\u4e0b\u53d6\u5f97\u4e86\u5f88\u6709\u7ade\u4e89\u529b\u7684\u591a\u65b9\u8a00\u8bc6\u522b\u6548\u679c\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Github\uff1ahttps:\/\/github.com\/DataoceanAI\/Dolphin ModelScop &hellip; <a href=\"http:\/\/139.9.1.231\/index.php\/2026\/07\/11\/dolphin-cn-dialect\/\" class=\"more-link\">\u7ee7\u7eed\u9605\u8bfb<span class=\"screen-reader-text\">Dolphin-CN-Dialect\u6c49\u8bed\u591a\u65b9\u8a00\u8bed\u97f3\u8bc6\u522b\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":[4,9,38,34],"tags":[],"_links":{"self":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/31076"}],"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=31076"}],"version-history":[{"count":11,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/31076\/revisions"}],"predecessor-version":[{"id":31362,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/31076\/revisions\/31362"}],"wp:attachment":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/media?parent=31076"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/categories?post=31076"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/tags?post=31076"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}