{"id":114896,"date":"2026-10-10T12:57:59","date_gmt":"2026-10-10T04:57:59","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/114896.html"},"modified":"2026-10-10T12:57:59","modified_gmt":"2026-10-10T04:57:59","slug":"qwen-music%e6%8a%80%e6%9c%af%e5%8e%9f%e7%90%86%e6%b7%b1%e5%ba%a6%e8%a7%a3%e6%9e%90%ef%bc%9a%e6%97%8b%e5%be%8b%e8%a7%84%e5%88%92%e3%80%81%e8%af%ad%e4%b9%89%e5%8e%8b%e7%bc%a9%e4%b8%8e%e9%ab%98%e4%bf%9d","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/114896.html","title":{"rendered":"Qwen-Music\u6280\u672f\u539f\u7406\u6df1\u5ea6\u89e3\u6790\uff1a\u65cb\u5f8b\u89c4\u5212\u3001\u8bed\u4e49\u538b\u7f29\u4e0e\u9ad8\u4fdd\u771f\u6e32\u67d3\u7684\u5206\u5de5"},"content":{"rendered":"

\u5199\u5728\u524d\u9762<\/h2>\n

\"\u56fe\u7247\"<\/p>\n

\u6b22\u8fce\u5927\u5bb6\u5173\u6ce8Rocky\u7684\u77e5\u4e4e：Rocky Ding \u300a\u4e09\u5e74\u9762\u8bd5\u4e94\u5e74\u6a21\u62df\u300bAIGC\/LLM\/AI Agent\u7b97\u6cd5\u5de5\u7a0b\u5e08\/\u5f00\u53d1\u5de5\u7a0b\u5e08\u6c42\u804c\u9762\u8bd5\u79d8\u7c4d\u72ec\u5bb6\u8d44\u6e90：\u3010\u4e09\u5e74\u9762\u8bd5\u4e94\u5e74\u6a21\u62df\u3011WeThinkIn\/AIGC-Interview-Book，\u6b22\u8fce\u5927\u5bb6Star～<\/p>\n

Rocky\u6700\u65b0\u64b0\u5199\u768410\u4e07\u5b57AI Agent（AI\u667a\u80fd\u4f53）\u6df1\u5165\u6d45\u51fa\u5168\u7ef4\u5ea6\u89e3\u6790\u6587\u7ae0： \u6df1\u5165\u6d45\u51fa\u5b8c\u6574\u89e3\u6790AI Agent（AI\u667a\u80fd\u4f53）\u7684\u6838\u5fc3\u57fa\u7840\u77e5\u8bc6<\/p>\n

AIGC\/LLM\/AI Agent\u7b97\u6cd5\u5c97\/\u5f00\u53d1\u5c97\u6c42\u804c\u9762\u8bd5\u5185\u63a8\u5b66\u4e60\u793e\u7fa4（\u6db5\u76d6AIGC\u3001LLM\u5927\u6a21\u578b\u3001AI Agent\u3001\u4f20\u7edf\u6df1\u5ea6\u5b66\u4e60\u3001\u81ea\u52a8\u9a7e\u9a76\u3001\u673a\u5668\u5b66\u4e60\u3001\u8ba1\u7b97\u673a\u89c6\u89c9\u3001\u81ea\u7136\u8bed\u8a00\u5904\u7406\u3001\u5f3a\u5316\u5b66\u4e60\u3001\u5927\u6570\u636e\u6316\u6398\u3001\u5177\u8eab\u667a\u80fd\u3001\u5143\u5b87\u5b99\u3001AGI\u7b49AI\u884c\u4e1a\u6700\u65b0\u9762\u8bd5\u5e72\u8d27\u7ecf\u9a8c\u4e0e\u6838\u5fc3\u77e5\u8bc6）\u6b22\u8fce\u5927\u5bb6\u52a0\u5165：https:\/\/t.zsxq.com\/33pJ0<\/p>\n

\n

\u5927\u5bb6\u597d，\u6211\u662fRocky\u3002<\/p>\n

\u6838\u5fc3\u5bfc\u8bfb：\u4e00\u9996\u5b8c\u6574\u6b4c\u66f2，\u9700\u8981\u5728\u4e24\u79cd\u65f6\u95f4\u5c3a\u5ea6\u4e0a\u540c\u65f6\u6210\u7acb<\/h3>\n

\u751f\u6210\u51e0\u79d2\u81ea\u7136\u7684\u58f0\u97f3，\u4e0e\u751f\u6210\u4e00\u9996\u5177\u6709\u4e3b\u6b4c\u3001\u526f\u6b4c\u3001\u6b4c\u8bcd\u53d1\u5c55\u548c\u7a33\u5b9a\u4eba\u58f0\u7684\u6b4c\u66f2，\u96be\u5ea6\u5e76\u4e0d\u76f8\u540c\u3002\u524d\u8005\u66f4\u5173\u6ce8\u5c40\u90e8\u58f0\u5b66\u8fde\u7eed\u6027，\u540e\u8005\u8fd8\u8981\u7ef4\u6301\u5206\u949f\u7ea7\u7ed3\u6784：\u65cb\u5f8b\u4ec0\u4e48\u65f6\u5019\u56de\u5f52，\u6b4c\u8bcd\u5982\u4f55\u843d\u5728\u8282\u62cd\u4e0a，\u7f16\u66f2\u5982\u4f55\u968f\u6bb5\u843d\u53d1\u5c55，\u97f3\u8272\u4e0e\u7acb\u4f53\u58f0\u7ec6\u8282\u5982\u4f55\u4fdd\u6301\u4e00\u81f4\u3002<\/p>\n

Qwen-Music Technical Report \u7ed9\u51fa\u7684\u7b54\u6848\u662f\u660e\u786e\u5206\u5de5：Tokenizer \u628a\u97f3\u4e50\u538b\u7f29\u6210\u53ef\u7531\u8bed\u8a00\u6a21\u578b\u5904\u7406\u7684\u8bed\u4e49\u5e8f\u5217；3B \u81ea\u56de\u5f52 LLM \u8d1f\u8d23\u6b4c\u66f2\u7ec4\u7ec7，\u5e76\u53ef\u5148\u89c4\u5212\u65cb\u5f8b；Render \u518d\u628a\u8bed\u4e49\u8349\u56fe\u53d8\u6210 48 kHz \u7acb\u4f53\u58f0\u3002\u672c\u6587\u5206\u6790 arXiv:2607.11699 \u7684 v3 \u5185\u5bb9，\u4fdd\u7559\u5168\u90e8 8 \u5e45\u6807\u51c6\u56fe\u30019 \u5f20\u8868\u4e0e 8 \u4e2a\u7f16\u53f7\u516c\u5f0f\u3002<\/p>\n

\"Figure<\/p>\n

Rocky\u8ba4\u4e3a，\u8fd9\u9879\u5de5\u4f5c\u7684\u672c\u8d28，\u662f\u4e3a\u97f3\u4e50\u521b\u4f5c\u5efa\u7acb\u4e00\u4e2a\u4fe1\u606f\u4fdd\u7559\u7a0b\u5ea6\u53ef\u8c03\u7684\u4e2d\u95f4\u63a5\u53e3\u3002 \u65cb\u5f8b\u9700\u8981\u8db3\u591f\u660e\u786e，\u624d\u80fd\u88ab\u590d\u7528\u548c\u63a7\u5236；\u58f0\u5b66\u7ec6\u8282\u53c8\u4e0d\u80fd\u5168\u90e8\u9501\u6b7b，\u5426\u5219\u6539\u53d8\u98ce\u683c\u3001\u7f16\u66f2\u548c\u6b4c\u624b\u7279\u5f81\u4f1a\u53d8\u5f97\u56f0\u96be\u3002\u4f4e\u7801\u7387\u8bed\u4e49\u8868\u793a\u4e0e\u751f\u6210\u5f0f\u6e32\u67d3\u5206\u522b\u627f\u62c5\u4e0d\u540c\u7ea6\u675f，\u8fd9\u79cd\u5206\u5de5\u6bd4\u201c\u628a LLM \u7528\u5230\u97f3\u4e50\u4e0a\u201d\u66f4\u503c\u5f97\u7814\u7a76\u3002<\/p>\n

1. \u5148\u770b\u8bc1\u636e：\u63a5\u8fd1\u9876\u5c16\u7cfb\u7edf，\u9700\u8981\u8bf4\u6e05\u6bd4\u8f83\u53e3\u5f84<\/h3>\n

\"Figure<\/p>\n

\u8bba\u6587\u62db\u52df\u4e86 50 \u4f4d\u6709\u97f3\u4e50\u521b\u4f5c\u6216\u5236\u4f5c\u7ecf\u9a8c\u7684\u542c\u8bc4\u8005，\u6bcf\u4e00\u5bf9\u97f3\u9891\u7531\u4e09\u4e2a\u4e0d\u540c\u4e13\u5bb6\u72ec\u7acb\u5224\u65ad，\u64ad\u653e\u987a\u5e8f\u968f\u673a\u3002Qwen-Music \u5bf9 MiniMax Music 2.5+\u3001Music 2.6\u3001Mureka V8\u3001Suno V5 \u7684\u504f\u597d\u7387\u5206\u522b\u4e3a 59.1%\u300166.7%\u300158.3%\u300155.4%；\u5bf9 Suno V5.5 \u662f 50.3%，\u540e\u8005\u4e3a 49.7%\u3002<\/p>\n

50.3% \u662f\u70b9\u4f30\u8ba1\u63a5\u8fd1\u6301\u5e73，\u4e0d\u80fd\u4ec5\u51ed\u7565\u9ad8\u4e8e\u4e00\u534a\u5c31\u5ba3\u79f0\u663e\u8457\u8d85\u8d8a\u3002\u6295\u7968\u8fd8\u5b58\u5728\u540c\u4e00\u63d0\u793a\u3001\u540c\u4e00\u97f3\u9891\u548c\u540c\u4e00\u8bc4\u59d4\u9020\u6210\u7684\u76f8\u5173\u6027，\u663e\u8457\u6027\u5206\u6790\u4e0d\u5b9c\u628a\u6bcf\u5f20\u7968\u89c6\u4e3a\u5b8c\u5168\u72ec\u7acb\u6837\u672c\u3002\u672c\u6587\u6ca1\u6709\u91cd\u505a\u542c\u8bc4，\u4e5f\u4e0d\u628a\u8bba\u6587\u5185\u90e8\u8bc4\u4ef7\u7b49\u540c\u4e8e\u5168\u4f53\u97f3\u4e50\u7528\u6237\u7684\u666e\u904d\u504f\u597d\u3002<\/p>\n

\"Figure<\/p>\n

\u8bba\u6587\u8bf4\u660e Qwen-Music \u4ee5 JazzCat \u8eab\u4efd\u53c2\u4e0e\u699c\u5355，\u56fe\u4e2d\u4f4d\u5217\u7b2c\u4e09\u3002\u8fd9\u662f\u8bba\u6587\u7248\u672c\u6240\u8bb0\u5f55\u7684\u5916\u90e8\u5feb\u7167，\u652f\u6301\u53e6\u4e00\u79cd\u5206\u5e03\u4e0b\u7684\u7ade\u4e89\u529b\u89c2\u5bdf；\u5b83\u4e0e\u5185\u90e8 A\/B \u6d4b\u8bd5\u4e0d\u662f\u540c\u4e00\u6279\u7528\u6237\u3001\u76f8\u540c\u63d0\u793a\u6216\u76f8\u540c\u8bc4\u5206\u4f53\u7cfb，\u4e0d\u80fd\u628a\u6392\u540d\u76f4\u63a5\u8f6c\u6362\u6210\u4e0a\u8ff0\u80dc\u7387，\u4e5f\u4e0d\u5e94\u5f53\u4f5c\u5b9e\u65f6\u699c\u5355\u540d\u6b21\u3002<\/p>\n

2. \u603b\u4f53\u67b6\u6784：\u8bed\u4e49\u4f5c\u66f2\u4e0e\u58f0\u5b66\u6e32\u67d3\u5206\u522b\u4f18\u5316<\/h3>\n

\"Figure<\/p>\n

\u7cfb\u7edf\u5148\u628a\u81ea\u7136\u8bed\u8a00\u8bf7\u6c42\u6574\u7406\u6210\u97f3\u4e50\u6807\u7b7e\u4e0e\u7ed3\u6784\u5316\u6b4c\u8bcd\u3002Qwen-Music-LLM \u5728\u8fd9\u4e9b\u6761\u4ef6\u4e0b\u751f\u6210 Music Semantic Tokens；\u6709\u53c2\u8003\u6b4c\u66f2\u65f6，\u8fd8\u53ef\u4ee5\u5f15\u5165\u63d0\u53d6\u51fa\u7684\u65cb\u5f8b token\u3002Render \u540c\u65f6\u8bfb\u53d6\u8bed\u4e49 token \u548c\u6587\u672c\u6761\u4ef6，\u6062\u590d\u8fde\u7eed\u58f0\u5b66\u6f5c\u53d8\u91cf，\u518d\u5408\u6210\u6ce2\u5f62\u3002<\/p>\n

\u8fd9\u91cc\u5b58\u5728\u4e09\u4e2a\u4e0d\u540c\u5bf9\u8c61\u3002\u97f3\u4e50\u8bed\u4e49 token \u5305\u542b\u6b4c\u66f2\u5185\u5bb9\u548c\u7f16\u6392\u7ebf\u7d22；\u65cb\u5f8b token \u662f\u66f4\u4f4e\u9891\u3001\u66f4\u4e13\u6ce8\u4eba\u58f0\u66f2\u7ebf\u7684\u4e2d\u95f4\u63a7\u5236；\u58f0\u5b66\u6f5c\u53d8\u91cf\u4fdd\u7559\u4f9b\u9ad8\u4fdd\u771f\u91cd\u5efa\u4f7f\u7528\u7684\u8fde\u7eed\u4fe1\u606f\u3002\u628a\u5b83\u4eec\u90fd\u53eb\u4f5c\u201c\u97f3\u9891 token\u201d，\u4f1a\u63a9\u76d6\u5404\u81ea\u7684\u635f\u5931\u51fd\u6570\u3001\u7801\u7387\u548c\u53ef\u63a7\u6027\u8fb9\u754c\u3002<\/p>\n

\u4ee5\u4e94\u5206\u949f\u97f3\u4e50\u8ba1\u7b97，25 Hz \u8bed\u4e49\u5e8f\u5217\u7ea6\u6709 7,500 \u4e2a token\u3002\u76f8\u8f83 48 kHz \u6ce2\u5f62\u9010\u91c7\u6837\u5efa\u6a21，\u8fd9\u4e3a\u957f\u7a0b\u7ed3\u6784\u63d0\u4f9b\u4e86\u66f4\u53ef\u884c\u7684\u81ea\u56de\u5f52\u63a5\u53e3\u3002\u4f46\u65f6\u95f4\u538b\u7f29\u5e76\u4e0d\u610f\u5473\u7740\u6240\u6709\u4fe1\u606f\u88ab\u65e0\u635f\u4fdd\u7559，\u6e32\u67d3\u5668\u9700\u8981\u6839\u636e\u6761\u4ef6\u8865\u5145\u97f3\u8272\u3001\u76f8\u4f4d\u4e0e\u9ad8\u9891\u7ec6\u8282；\u5176\u751f\u6210\u7ed3\u679c\u53ef\u4ee5\u5408\u7406，\u5374\u4e0d\u5fc5\u7b49\u540c\u4e8e\u552f\u4e00\u539f\u59cb\u5f55\u97f3\u3002<\/p>\n

3. Tokenizer：\u5148\u5b66\u8fde\u7eed\u8868\u793a，\u518d\u9010\u6b65\u5f15\u5165\u79bb\u6563\u74f6\u9888<\/h3>\n

\"Figure<\/p>\n

Tokenizer \u7684\u8bad\u7ec3\u9aa8\u5e72\u662f 24 \u5c42\u3001\u7ea6 0.6B \u53c2\u6570\u7684 Conformer，\u5bbd\u5ea6 1024\u300116 \u4e2a\u6ce8\u610f\u529b\u5934\u3002\u97f3\u9891\u5148\u8f6c\u6362\u4e3a 24 kHz \u5355\u58f0\u9053\u4e0e log-Mel \u7279\u5f81，\u7ecf\u5377\u79ef\u524d\u7aef\u964d\u5230 25 Hz，\u4e5f\u5c31\u662f\u6bcf 40 ms \u4e00\u4e2a\u4f4d\u7f6e\u3002\u56db\u9636\u6bb5\u5171\u4eab\u9aa8\u5e72，\u4f46\u90e8\u7f72\u63d0\u53d6\u4ee3\u7801\u53ea\u4fdd\u7559\u524d\u7aef\u3001VQ \u63d2\u5165\u4f4d\u7f6e\u4e4b\u524d\u7684\u7f16\u7801\u5c42\u548c\u91cf\u5316\u5668，\u4e0d\u5e94\u628a\u8bad\u7ec3\u671f\u5168\u90e8\u6a21\u5757\u90fd\u7b97\u6210\u63a8\u7406\u5fc5\u7ecf\u8def\u5f84\u3002<\/p>\n

3.1 BestRQ：\u7528\u51bb\u7ed3\u968f\u673a\u76ee\u6807\u5b66\u4e60\u97f3\u4e50\u8868\u793a<\/h4>\n

\u7b2c\u4e00\u9636\u6bb5\u4ece\u968f\u673a\u521d\u59cb\u5316\u5f00\u59cb，\u91c7\u7528\u53cc\u5411 BestRQ\u3002\u5e72\u51c0\u7279\u5f81\u7ecf\u8fc7\u56fa\u5b9a\u968f\u673a\u6295\u5f71\u4e0e\u56fa\u5b9a\u968f\u673a\u7801\u672c\u5f62\u6210\u76ee\u6807；\u8f93\u5165\u97f3\u9891\u6309 0.4 \u79d2\u8de8\u5ea6\u30010.3 \u6982\u7387\u8fdb\u884c\u63a9\u7801，\u7528\u4f4e\u65b9\u5dee\u9ad8\u65af\u566a\u58f0\u66ff\u6362\u3002\u6a21\u578b\u4ece\u88ab\u7834\u574f\u7684\u4e0a\u4e0b\u6587\u6062\u590d\u63a9\u7801\u4f4d\u7f6e\u76ee\u6807\u3002<\/p>\n

\u516c\u5f0f（1）：<\/p>\n

<\/p>\n

L<\/p>\n

B<\/p>\n

e<\/p>\n

s<\/p>\n

t<\/p>\n

R<\/p>\n

Q<\/p>\n

=<\/p>\n

1<\/p>\n

\u2223<\/p>\n

M<\/p>\n

\u2223<\/p>\n

\u2211<\/p>\n

t<\/p>\n

\u2208<\/p>\n

M<\/p>\n

C<\/p>\n

E<\/p>\n

(<\/p>\n

p<\/p>\n

(<\/p>\n

h<\/p>\n

t<\/p>\n

)<\/p>\n

,<\/p>\n

q<\/p>\n

(<\/p>\n

x<\/p>\n

t<\/p>\n

)<\/p>\n

)<\/p>\n

.<\/p>\n

\\\\mathcal L_{\\\\mathrm{BestRQ}}=\\\\frac{1}{|\\\\mathcal M|}\\\\sum_{t\\\\in\\\\mathcal M}\\\\mathrm{CE}\\\\bigl(p(h_t),q(x_t)\\\\bigr). <\/p>\n

<\/span><\/span>L<\/span><\/span>BestRQ<\/span><\/span><\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>=<\/span><\/span><\/span><\/span><\/span><\/span>\u2223<\/span>M<\/span>\u2223<\/span><\/span><\/span><\/span><\/span><\/span><\/span>1<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>t<\/span>\u2208<\/span>M<\/span><\/span><\/span><\/span><\/span>\u2211<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>CE<\/span><\/span>(<\/span><\/span>p<\/span>(<\/span>h<\/span><\/span>t<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>)<\/span>,<\/span><\/span>q<\/span>(<\/span>x<\/span><\/span>t<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>)<\/span>)<\/span><\/span>.<\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n

\u5176\u4e2d <\/p>\n

q<\/p>\n

q<\/p>\n

<\/span><\/span>q<\/span><\/span><\/span><\/span><\/span> \u662f\u51bb\u7ed3\u7684\u968f\u673a\u6295\u5f71\u91cf\u5316\u5668，<\/p>\n

p<\/p>\n

p<\/p>\n

<\/span><\/span>p<\/span><\/span><\/span><\/span><\/span> \u4e3a\u9884\u6d4b\u5934\u3002\u8fd9\u91cc\u7684\u968f\u673a\u7801\u672c\u53ea\u6784\u9020\u81ea\u76d1\u7763\u76ee\u6807，\u4e0e\u6700\u7ec8\u53ef\u5b66\u4e60\u7684\u97f3\u4e50 VQ \u7801\u672c\u4e0d\u540c\u3002\u65e0\u9700\u76ee\u6807\u7f51\u7edc\u5e76\u4e0d\u7b49\u4e8e\u7f16\u7801\u5668\u6ca1\u6709\u5b66\u4e60\u4efb\u52a1；\u5b66\u4e60\u53d1\u751f\u5728\u7528\u4e0a\u4e0b\u6587\u9884\u6d4b\u56fa\u5b9a\u76ee\u6807\u7684\u8fc7\u7a0b\u4e2d\u3002<\/p>\n

\u7b2c\u4e8c\u9636\u6bb5\u6539\u4e3a\u56e0\u679c\u6ce8\u610f\u529b，\u7ee7\u7eed\u4f7f\u7528 BestRQ \u76ee\u6807\u9002\u914d\u3002\u5148\u5728\u53cc\u5411\u6761\u4ef6\u4e0b\u83b7\u5f97\u8f83\u597d\u8868\u793a，\u518d\u9650\u5236\u672a\u6765\u4fe1\u606f\u8bbf\u95ee，\u53ef\u4ee5\u964d\u4f4e\u4ece\u96f6\u8bad\u7ec3\u56e0\u679c\u7f16\u7801\u5668\u7684\u96be\u5ea6\u3002\u8bba\u6587\u540c\u65f6\u8bf4\u660e\u7f16\u7801\u65f6\u4ecd\u5bf9\u5b8c\u6574\u97f3\u9891\u79bb\u7ebf\u63d0\u53d6，\u56e0\u6b64\u201c\u56e0\u679c\u7f16\u7801\u5668\u201d\u4e0d\u80fd\u76f4\u63a5\u63a8\u5bfc\u51fa\u7aef\u5230\u7aef\u5b9e\u65f6\u97f3\u4e50\u751f\u6210\u80fd\u529b\u3002<\/p>\n

3.2 \u591a\u4efb\u52a1\u76d1\u7763：\u4e3a\u6b4c\u8bcd\u3001\u97f3\u9ad8\u4e0e\u58f0\u8c31\u7559\u4e0b\u4fe1\u606f<\/h4>\n

\u7b2c\u4e09\u9636\u6bb5\u589e\u52a0\u4e09\u4e2a\u5934：CTC \u9884\u6d4b\u6b4c\u8bcd，Mel \u5934\u91cd\u5efa\u58f0\u8c31，chroma \u5934\u9884\u6d4b 12 \u7ef4\u97f3\u7ea7\u7279\u5f81\u3002\u97f3\u7ea7\u5206\u5e03\u80fd\u8868\u8fbe\u548c\u58f0\u4e0e\u97f3\u9ad8\u7c7b\u522b，CTC \u5219\u7ea6\u675f\u8bed\u97f3\u5185\u5bb9，\u907f\u514d\u97f3\u4e50\u8868\u793a\u53ea\u4fdd\u7559\u4f34\u594f\u800c\u4e22\u6389\u6b4c\u8bcd\u3002<\/p>\n

\u516c\u5f0f（2）：<\/p>\n

<\/p>\n

L<\/p>\n

S<\/p>\n

F<\/p>\n

T<\/p>\n

=<\/p>\n

\u03bb<\/p>\n

c<\/p>\n

t<\/p>\n

c<\/p>\n

L<\/p>\n

C<\/p>\n

T<\/p>\n

C<\/p>\n

+<\/p>\n

\u03bb<\/p>\n

m<\/p>\n

e<\/p>\n

l<\/p>\n

L<\/p>\n

s<\/p>\n

p<\/p>\n

e<\/p>\n

c<\/p>\n

m<\/p>\n

e<\/p>\n

l<\/p>\n

+<\/p>\n

\u03bb<\/p>\n

c<\/p>\n

h<\/p>\n

r<\/p>\n

L<\/p>\n

s<\/p>\n

p<\/p>\n

e<\/p>\n

c<\/p>\n

c<\/p>\n

h<\/p>\n

r<\/p>\n

o<\/p>\n

m<\/p>\n

a<\/p>\n

,<\/p>\n

\u03bb<\/p>\n

c<\/p>\n

t<\/p>\n

c<\/p>\n

=<\/p>\n

\u03bb<\/p>\n

m<\/p>\n

e<\/p>\n

l<\/p>\n

=<\/p>\n

\u03bb<\/p>\n

c<\/p>\n

h<\/p>\n

r<\/p>\n

=<\/p>\n

1.<\/p>\n

\\\\mathcal L_{\\\\mathrm{SFT}}=\\\\lambda_{\\\\mathrm{ctc}}\\\\mathcal L_{\\\\mathrm{CTC}}+\\\\lambda_{\\\\mathrm{mel}}\\\\mathcal L_{\\\\mathrm{spec}}^{\\\\mathrm{mel}}+\\\\lambda_{\\\\mathrm{chr}}\\\\mathcal L_{\\\\mathrm{spec}}^{\\\\mathrm{chroma}},\\\\qquad \\\\lambda_{\\\\mathrm{ctc}}=\\\\lambda_{\\\\mathrm{mel}}=\\\\lambda_{\\\\mathrm{chr}}=1. <\/p>\n

<\/span><\/span>L<\/span><\/span>SFT<\/span><\/span><\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>=<\/span><\/span><\/span><\/span>\u03bb<\/span><\/span>ctc<\/span><\/span><\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>L<\/span><\/span>CTC<\/span><\/span><\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>+<\/span><\/span><\/span><\/span>\u03bb<\/span><\/span>mel<\/span><\/span><\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>L<\/span><\/span>spec<\/span><\/span><\/span><\/span><\/span><\/span>mel<\/span><\/span><\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>+<\/span><\/span><\/span><\/span>\u03bb<\/span><\/span>chr<\/span><\/span><\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>L<\/span><\/span>spec<\/span><\/span><\/span><\/span><\/span><\/span>chroma<\/span><\/span><\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>,<\/span><\/span><\/span>\u03bb<\/span><\/span>ctc<\/span><\/span><\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>=<\/span><\/span><\/span><\/span>\u03bb<\/span><\/span>mel<\/span><\/span><\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>=<\/span><\/span><\/span><\/span>\u03bb<\/span><\/span>chr<\/span><\/span><\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>=<\/span><\/span><\/span><\/span>1.<\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n

\u8fd9\u4e00\u9636\u6bb5\u7684\u63a9\u7801\u6982\u7387\u964d\u81f3 0.01，\u8bad\u7ec3\u8f93\u5165\u6269\u5c55\u5230\u6700\u957f 300 \u79d2\u5b8c\u6574\u6b4c\u66f2\u3002\u9636\u6bb5\u53d8\u5316\u4f53\u73b0\u51fa\u76ee\u6807\u8f6c\u79fb：\u5148\u83b7\u5f97\u901a\u7528\u8868\u5f81，\u518d\u8ba9\u5176\u6ee1\u8db3\u540e\u7eed\u4f5c\u66f2\u6a21\u578b\u548c\u6e32\u67d3\u5668\u9700\u8981\u7684\u53ef\u8bfb\u5185\u5bb9\u3002<\/p>\n

3.3 VQ：\u786c\u91cf\u5316\u4e4b\u524d，\u5148\u5e73\u6ed1\u63a5\u5165<\/h4>\n

\u7b2c\u56db\u9636\u6bb5\u5728\u7f16\u7801\u5668\u4e2d\u95f4\u5c42\u63d2\u5165 32,768 \u9879\u5355\u7801\u672c，\u4f7f\u7528\u4f59\u5f26\u5ea6\u91cf\u3001\u76f4\u901a\u4f30\u8ba1\u548c commitment loss\u3002\u786c\u91cf\u5316\u5bb9\u6613\u7834\u574f\u5df2\u7ecf\u6536\u655b\u7684\u8868\u793a，\u56e0\u6b64\u91c7\u7528\u95e8\u63a7\u63d2\u503c <\/p>\n

h<\/p>\n

o<\/p>\n

u<\/p>\n

t<\/p>\n

=<\/p>\n

h<\/p>\n

+<\/p>\n

\u03b1<\/p>\n

(<\/p>\n

h<\/p>\n

q<\/p>\n

\u2212<\/p>\n

h<\/p>\n

)<\/p>\n

h_{\\\\mathrm{out}}=h+\\\\alpha(h_q-h)<\/p>\n

<\/span><\/span>h<\/span><\/span>out<\/span><\/span><\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>=<\/span><\/span><\/span><\/span>h<\/span><\/span>+<\/span><\/span><\/span><\/span>\u03b1<\/span>(<\/span>h<\/span><\/span>q<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>\u2212<\/span><\/span><\/span><\/span>h<\/span>)<\/span><\/span><\/span><\/span><\/span>，\u8ba9 <\/p>\n

\u03b1<\/p>\n

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

<\/span><\/span>\u03b1<\/span><\/span><\/span><\/span><\/span> \u4ece 0 \u6e10\u8fdb\u5230 1，\u5e76\u5148\u51bb\u7ed3\u524d\u7aef\u4e0e\u90e8\u5206\u9aa8\u5e72，\u518d\u9010\u6b65\u89e3\u51bb\u3002CTC \u6743\u91cd\u964d\u5230 0.5，Mel\u3001chroma \u548c VQ \u7684\u6743\u91cd\u4e3a 1\u3002<\/p>\n

\u8bba\u6587\u62a5\u544a\u7801\u672c\u5229\u7528\u7387\u8d85\u8fc7 99%\u3002\u5b83\u8bf4\u660e\u79bb\u6563\u5bb9\u91cf\u88ab\u5e7f\u6cdb\u4f7f\u7528，\u4f46\u4e0d\u7b49\u4e8e\u6bcf\u4e2a\u7801\u90fd\u643a\u5e26\u540c\u6837\u7684\u4fe1\u606f，\u4e5f\u4e0d\u80fd\u8bc1\u660e\u71b5\u7f16\u7801\u540e\u7684\u771f\u5b9e\u7801\u7387\u3002\u6309\u56fa\u5b9a 15 bit \u7d22\u5f15\u8ba1\u7b97，<\/p>\n

25<\/p>\n

\u00d7<\/p>\n

15<\/p>\n

=<\/p>\n

375<\/p>\n

25\\\\times15=375<\/p>\n

<\/span><\/span>25<\/span><\/span>\u00d7<\/span><\/span><\/span><\/span>15<\/span><\/span>=<\/span><\/span><\/span><\/span>375<\/span><\/span><\/span><\/span><\/span> bit\/s；\u8fd9\u662f\u8bed\u4e49\u4ee3\u7801\u7684\u540d\u4e49\u7801\u7387，\u4e0d\u5305\u542b\u6a21\u578b\u6743\u91cd\u3001\u6587\u672c\u6761\u4ef6\u3001\u5bb9\u5668\u5f00\u9500\u6216\u9ad8\u4fdd\u771f\u97f3\u9891\u7684\u5168\u90e8\u4fe1\u606f\u3002<\/p>\n

\"Table<\/p>\n

\u88681\u5b8c\u6574\u4fdd\u7559\u9636\u6bb5\u95f4\u7684\u76ee\u6807\u3001\u6ce8\u610f\u529b\u3001\u97f3\u9891\u957f\u5ea6\u4e0e\u521d\u59cb\u5316\u5173\u7cfb\u3002\u8bad\u7ec3\u94fe\u7684\u987a\u5e8f\u5c24\u5176\u91cd\u8981：\u79bb\u6563\u5316\u53d1\u751f\u5728\u8868\u5f81\u5df2\u7ecf\u53d7\u6b4c\u8bcd\u4e0e\u58f0\u5b66\u76d1\u7763\u5851\u5f62\u4e4b\u540e\u3002<\/p>\n

4. Melody-CoT：\u7528\u4f4e\u9891\u65cb\u5f8b\u66f2\u7ebf\u7ea6\u675f\u957f\u7a0b\u751f\u6210<\/h3>\n

Qwen-Music-LLM \u521d\u59cb\u5316\u81ea Qwen3.5-Omni \u7684\u4e00\u4e2a 3B dense \u53d8\u4f53\u3002\u5b83\u65e2\u652f\u6301\u76f4\u63a5\u4ece\u6587\u672c\u751f\u6210\u8bed\u4e49 token，\u4e5f\u5b66\u4e60\u5148\u8f93\u51fa Melody-CoT，\u518d\u8f93\u51fa\u5b8c\u6574\u97f3\u4e50\u8bed\u4e49\u5e8f\u5217\u3002\u8fd9\u91cc\u7684 CoT \u6307\u7684\u662f\u65cb\u5f8b token \u7ec4\u6210\u7684\u4e2d\u95f4\u8ba1\u5212，\u5e76\u975e\u89e3\u91ca\u201c\u6211\u4e3a\u4ec0\u4e48\u9009\u62e9\u8fd9\u4e2a\u548c\u5f26\u201d\u7684\u81ea\u7136\u8bed\u8a00\u63a8\u7406\u6587\u672c\u3002<\/p>\n

\u53c2\u8003\u65cb\u5f8b\u9996\u5148\u7531 RMVPE \u63d0\u53d6 50 Hz \u4eba\u58f0\u97f3\u9ad8\u66f2\u7ebf，\u7ecf\u8fc7\u516b\u500d\u4e2d\u503c\u6c60\u5316\u964d\u5230 6.25 Hz\u3002\u516c\u5f0f（3）：<\/p>\n

<\/p>\n

f<\/p>\n

~<\/p>\n

=<\/p>\n

MedianPool<\/p>\n

\u2061<\/p>\n

8<\/p>\n

(<\/p>\n

f<\/p>\n

)<\/p>\n

.<\/p>\n

\\\\widetilde{\\\\mathbf f}=\\\\operatorname{MedianPool}_{8}(\\\\mathbf f). <\/p>\n

<\/span><\/span><\/span>f<\/span><\/span><\/span><\/p>\n

<\/span><\/span><\/span><\/span><\/span><\/span><\/span>=<\/span><\/span><\/span><\/span>MedianPool<\/span><\/span><\/span>8<\/span><\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>(<\/span>f<\/span>)<\/span>.<\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n

\u6c60\u5316\u5ffd\u7565\u65e0\u58f0\u5e27；\u82e5\u7a97\u53e3\u4e3b\u8981\u65e0\u58f0，\u5219\u8f93\u51fa\u96f6\u3002\u4f4e\u9891\u7387\u6709\u610f\u6291\u5236\u98a4\u97f3\u3001\u88c5\u9970\u97f3\u7b49\u8868\u6f14\u7ec6\u8282，\u4fdd\u7559\u8f83\u7c97\u7684\u4f5c\u66f2\u8f6e\u5ed3\u3002\u968f\u540e\u8f6c\u6210 MIDI，\u51cf\u53bb\u5168\u66f2\u6709\u58f0\u5e27\u7684 MIDI \u4e2d\u4f4d\u6570：<\/p>\n

<\/p>\n

m<\/p>\n

\u02c9<\/p>\n

=<\/p>\n

median<\/p>\n

\u2061<\/p>\n

{<\/p>\n

round<\/p>\n

\u2061<\/p>\n

(<\/p>\n

hz2midi<\/p>\n

\u2061<\/p>\n

(<\/p>\n

f<\/p>\n

~<\/p>\n

i<\/p>\n

)<\/p>\n

)<\/p>\n

\u2223<\/p>\n

f<\/p>\n

~<\/p>\n

i<\/p>\n

><\/p>\n

0<\/p>\n

}<\/p>\n

.<\/p>\n

\\\\bar m=\\\\operatorname{median}\\\\{\\\\operatorname{round}(\\\\operatorname{hz2midi}(\\\\widetilde f_i))\\\\mid\\\\widetilde f_i>0\\\\}. <\/p>\n

<\/span><\/span><\/span>m<\/span><\/span><\/span>\u02c9<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>=<\/span><\/span><\/span><\/span>median<\/span><\/span>{<\/span>round<\/span><\/span>(<\/span>hz2midi<\/span><\/span>(<\/span><\/span>f<\/span><\/span><\/span><\/p>\n

<\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>i<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>))<\/span><\/span>\u2223<\/span><\/span><\/span><\/span><\/span>f<\/span><\/span><\/span><\/p>\n

<\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>i<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>><\/span><\/span><\/span><\/span>0<\/span>}<\/span>.<\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n

\u516c\u5f0f（4）：<\/p>\n

<\/p>\n

z<\/p>\n

i<\/p>\n

=<\/p>\n

{<\/p>\n

clip<\/p>\n

\u2061<\/p>\n

(<\/p>\n

round<\/p>\n

\u2061<\/p>\n

(<\/p>\n

hz2midi<\/p>\n

\u2061<\/p>\n

(<\/p>\n

f<\/p>\n

~<\/p>\n

i<\/p>\n

)<\/p>\n

)<\/p>\n

\u2212<\/p>\n

m<\/p>\n

\u02c9<\/p>\n

,<\/p>\n

\u2212<\/p>\n

127<\/p>\n

,<\/p>\n

127<\/p>\n

)<\/p>\n

+<\/p>\n

127<\/p>\n

,<\/p>\n

f<\/p>\n

~<\/p>\n

i<\/p>\n

><\/p>\n

0<\/p>\n

,<\/p>\n

255<\/p>\n

,<\/p>\n

f<\/p>\n

~<\/p>\n

i<\/p>\n

=<\/p>\n

0.<\/p>\n

z_i=\\\\begin{cases} \\\\operatorname{clip}\\\\bigl(\\\\operatorname{round}(\\\\operatorname{hz2midi}(\\\\widetilde f_i))-\\\\bar m,-127,127\\\\bigr)+127,&\\\\widetilde f_i>0,\\\\\\\\ 255,&\\\\widetilde f_i=0. \\\\end{cases} <\/p>\n

<\/span><\/span>z<\/span><\/span>i<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>=<\/span><\/span><\/span><\/span>{<\/span><\/span><\/span>clip<\/span><\/span>(<\/span><\/span>round<\/span><\/span>(<\/span>hz2midi<\/span><\/span>(<\/span><\/span>f<\/span><\/span><\/span><\/p>\n

<\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>i<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>))<\/span><\/span>\u2212<\/span><\/span><\/span>m<\/span><\/span><\/span>\u02c9<\/span><\/span><\/span><\/span><\/span><\/span><\/span>,<\/span><\/span>\u2212<\/span>127<\/span>,<\/span><\/span>127<\/span>)<\/span><\/span><\/span>+<\/span><\/span>127<\/span>,<\/span><\/span><\/span><\/span>255<\/span>,<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>f<\/span><\/span><\/span><\/p>\n

<\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>i<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>><\/span><\/span>0<\/span>,<\/span><\/span><\/span><\/span><\/span>f<\/span><\/span><\/span><\/p>\n

<\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>i<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>=<\/span><\/span>0.<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n

\u76f8\u5bf9\u97f3\u9ad8\u5f31\u5316\u4e86\u7edd\u5bf9\u8c03\u9ad8\u4e0e\u6b4c\u624b\u97f3\u57df\u7684\u4fe1\u606f，\u4f7f\u65b0\u97f3\u8272\u548c\u76ee\u6807\u98ce\u683c\u4ecd\u6709\u8c03\u6574\u7a7a\u95f4；\u5b83\u5e76\u6ca1\u6709\u8bc1\u660e\u6240\u6709\u6b4c\u624b\u7279\u5f81\u5df2\u88ab\u4e25\u683c\u53bb\u9664\u3002pitch \u63d0\u53d6\u8bef\u5dee\u3001\u8282\u594f\u3001\u97f3\u7a0b\u4e0e\u91cd\u590d\u7ed3\u6784\u4ecd\u53ef\u80fd\u4fdd\u7559\u53c2\u8003\u4f5c\u54c1\u7684\u4e2a\u6027\u3002<\/p>\n

Melody-CoT \u6709\u4e24\u79cd\u4e3b\u8981\u7ec4\u7ec7\u65b9\u5f0f\u3002section-level \u4e3a\u6bcf\u4e2a\u542b\u6b4c\u8bcd\u6bb5\u843d\u4fdd\u7559\u65cb\u5f8b，\u5e76\u6807\u6ce8 verse\u3001chorus \u7b49\u7c7b\u578b，\u7701\u53bb\u7eaf\u5668\u4e50\u7247\u6bb5；unique-section-level \u5219\u6309\u6bb5\u843d\u7c7b\u578b\u9009\u4e00\u4e2a\u4ee3\u8868，\u4f8b\u5982\u591a\u4e2a\u526f\u6b4c\u53ea\u63d0\u4f9b\u4e00\u6bb5\u3002\u524d\u8005\u66f4\u5f3a\u5730\u7ea6\u675f\u53c2\u8003\u65cb\u5f8b，\u540e\u8005\u964d\u4f4e\u6761\u4ef6\u5f3a\u5ea6\u3001\u7f29\u77ed\u5e8f\u5217，\u4e3a\u98ce\u683c\u8fc1\u79fb\u548c\u91cd\u65b0\u7f16\u6392\u7559\u4e0b\u81ea\u7531\u5ea6\u3002<\/p>\n

\u8fd9\u63ed\u793a\u4e00\u4e2a\u8de8\u6a21\u6001\u63a7\u5236\u539f\u5219：\u6761\u4ef6\u8d8a\u8be6\u7ec6，\u53ef\u590d\u7528\u7684\u4fe1\u606f\u8d8a\u591a，\u88ab\u4e00\u8d77\u5e26\u5165\u7684\u975e\u76ee\u6807\u5c5e\u6027\u4e5f\u53ef\u80fd\u8d8a\u591a\u3002 \u7cfb\u7edf\u9700\u8981\u660e\u786e\u5e0c\u671b\u4fdd\u7559\u4ec0\u4e48\u3001\u5141\u8bb8\u53d8\u5316\u4ec0\u4e48，\u624d\u80fd\u51b3\u5b9a\u4e2d\u95f4\u8868\u793a\u7684\u9897\u7c92\u5ea6\u3002<\/p>\n

5. Render：\u628a\u8bed\u4e49\u8349\u56fe\u53d8\u6210\u53ef\u542c\u7684 48 kHz \u7acb\u4f53\u58f0<\/h3>\n

\"Figure<\/p>\n

\u6e32\u67d3\u5668\u91c7\u7528 1.3B DiT，\u901a\u8fc7\u6761\u4ef6 flow matching \u9884\u6d4b\u8fde\u7eed\u58f0\u5b66\u6f5c\u53d8\u91cf\u3002\u8bba\u6587\u7ed9\u51fa32\u4e2a Transformer block\u3001\u9690\u85cf\u5bbd\u5ea61024\u300124\u4e2a\u6ce8\u610f\u529b\u5934\u7b49\u914d\u7f6e；\u5177\u4f53\u5934\u7ef4\u5ea6\u548c\u6295\u5f71\u5b9e\u73b0\u4ecd\u5e94\u4ee5\u5b9e\u9645\u4ee3\u7801\u4e3a\u51c6，\u4e0d\u80fd\u4ec5\u4ece\u8fd9\u4e9b\u5b57\u6bb5\u81ea\u884c\u8865\u5168\u5185\u90e8\u5f20\u91cf\u5e03\u5c40\u3002\u6f5c\u53d8\u91cf\u7ef4\u5ea6128\u3001\u9891\u738725 Hz，\u4e0e\u97f3\u4e50\u8bed\u4e49 token \u9010\u5e27\u5bf9\u9f50\u3002<\/p>\n

\u9664\u4e86\u8bed\u4e49 token，DiT \u8fd8\u8bfb\u53d6\u6587\u672c\u6807\u7b7e\u4e0e\u6b4c\u8bcd\u3002\u51bb\u7ed3\u7684 Qwen3-Embedding-0.6B \u63d0\u53d6\u6587\u672c\u7279\u5f81；\u6b4c\u8bcd\u989d\u5916\u901a\u8fc7\u516d\u5c42 RoPE Transformer，\u4e0e\u63cf\u8ff0\u4e00\u8d77\u6784\u6210\u4ea4\u53c9\u6ce8\u610f\u529b\u4e0a\u4e0b\u6587\u3002DiT \u7684\u8bad\u7ec3\u97f3\u9891\u6700\u957f\u516d\u5206\u949f，\u5373\u7ea69,000\u5e27；\u63cf\u8ff0\u4e0e\u6b4c\u8bcd\u4e0a\u4e0b\u6587\u5206\u522b\u622a\u65ad\u4e3a256\u548c1536 token\u3002\u8fd9\u4e2a\u8bad\u7ec3\u957f\u5ea6\u9650\u5236\u4e0d\u7b49\u4e8e\u670d\u52a1\u7aef\u5bf9\u6240\u6709\u7528\u6237\u627f\u8bfa\u7684\u6b4c\u66f2\u65f6\u957f\u3002<\/p>\n

CFG \u7684\u8bbe\u8ba1\u503c\u5f97\u5355\u72ec\u770b\u3002\u6761\u4ef6\u5206\u652f\u4f7f\u7528\u8bed\u4e49 token \u4e0e\u5b8c\u6574\u6587\u672c；\u7a7a\u6761\u4ef6\u5206\u652f\u4ecd\u4fdd\u7559\u8bed\u4e49 token，\u53ea\u66ff\u6362\u6587\u672c\u4e0a\u4e0b\u6587\u3002\u8fd9\u6837，\u589e\u5f3a\u7684\u662f\u6587\u672c\u5bf9\u98ce\u683c\u3001\u6b4c\u8bcd\u548c\u8868\u8fbe\u7684\u7ea6\u675f，\u800c\u4e0d\u662f\u540c\u65f6\u64a4\u8d70\u6b4c\u66f2\u7684\u4e3b\u8981\u8bed\u4e49\u9aa8\u67b6\u3002\u8fc7\u5ea6\u5f15\u5bfc\u6216\u62ff\u6389\u9aa8\u67b6\u90fd\u53ef\u80fd\u6539\u53d8\u7ed3\u6784\u7a33\u5b9a\u6027\u3002<\/p>\n

5.1 \u9891\u7387\u611f\u77e5\u6fc0\u6d3b：\u4e0d\u540c\u9891\u6bb5\u4e0d\u5171\u4eab\u540c\u4e00\u79cd\u5468\u671f\u5148\u9a8c<\/h4>\n

Spec-VAE \u628a48 kHz\u7acb\u4f53\u58f0\u8f6c\u6362\u6210\u590d\u6570\u58f0\u8c31，\u4e03\u5757\u7f16\u7801\u5668\u538b\u7f29\u523025 Hz\u3001128\u7ef4\u8fde\u7eed\u6f5c\u53d8\u91cf，\u89e3\u7801\u5668\u518d\u91cd\u5efa\u7c97\u58f0\u8c31\u3002\u7f16\u7801\u7aef\u5ef6\u8fdf\u878d\u5408\u5de6\u53f3\u58f0\u9053\u3001\u89e3\u7801\u7aef\u8f83\u65e9\u5206\u5f00；\u8bba\u6587\u62a5\u544a\u603b\u538b\u7f29\u6bd4192\u500d\u3002<\/p>\n

\"Figure<\/p>\n

\u516c\u5f0f（5）：<\/p>\n

<\/p>\n

Spec\u2009\u2063-\u2009\u2063SnakeBeta<\/p>\n

\u2061<\/p>\n

(<\/p>\n

x<\/p>\n

)<\/p>\n

b<\/p>\n

,<\/p>\n

c<\/p>\n

,<\/p>\n

t<\/p>\n

,<\/p>\n

f<\/p>\n

=<\/p>\n

x<\/p>\n

b<\/p>\n

,<\/p>\n

c<\/p>\n

,<\/p>\n

t<\/p>\n

,<\/p>\n

f<\/p>\n

+<\/p>\n

sin<\/p>\n

\u2061<\/p>\n

2<\/p>\n

(<\/p>\n

x<\/p>\n

b<\/p>\n

,<\/p>\n

c<\/p>\n

,<\/p>\n

t<\/p>\n

,<\/p>\n

f<\/p>\n

exp<\/p>\n

\u2061<\/p>\n

(<\/p>\n

\u03b1<\/p>\n

f<\/p>\n

)<\/p>\n

)<\/p>\n

exp<\/p>\n

\u2061<\/p>\n

(<\/p>\n

\u03b2<\/p>\n

f<\/p>\n

)<\/p>\n

+<\/p>\n

\u03f5<\/p>\n

.<\/p>\n

\\\\operatorname{Spec\\\\!\\\\text{-}\\\\!SnakeBeta}(x)_{b,c,t,f}=x_{b,c,t,f}+\\\\frac{\\\\sin^2\\\\bigl(x_{b,c,t,f}\\\\exp(\\\\alpha_f)\\\\bigr)}{\\\\exp(\\\\beta_f)+\\\\epsilon}. <\/p>\n

<\/span><\/span>Spec<\/span><\/span>–<\/span><\/span><\/span>SnakeBeta<\/span><\/span>(<\/span>x<\/span>)<\/span><\/span>b<\/span>,<\/span>c<\/span>,<\/span>t<\/span>,<\/span>f<\/span><\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>=<\/span><\/span><\/span><\/span>x<\/span><\/span>b<\/span>,<\/span>c<\/span>,<\/span>t<\/span>,<\/span>f<\/span><\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>+<\/span><\/span><\/span><\/span><\/span><\/span>exp<\/span>(<\/span>\u03b2<\/span><\/span>f<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>)<\/span><\/span>+<\/span><\/span>\u03f5<\/span><\/span><\/span><\/span><\/span><\/span><\/span>sin<\/span><\/span>2<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>(<\/span><\/span>x<\/span><\/span>b<\/span>,<\/span>c<\/span>,<\/span>t<\/span>,<\/span>f<\/span><\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>exp<\/span>(<\/span>\u03b1<\/span><\/span>f<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>)<\/span>)<\/span><\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>.<\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n

\u516c\u5f0f（6）：<\/p>\n

<\/p>\n

\u03b1<\/p>\n

f<\/p>\n

=<\/p>\n

log<\/p>\n

\u2061<\/p>\n

(<\/p>\n

freq<\/p>\n

\u2061<\/p>\n

f<\/p>\n

f<\/p>\n

\u02c9<\/p>\n

+<\/p>\n

\u03f5<\/p>\n

)<\/p>\n

,<\/p>\n

f<\/p>\n

\u02c9<\/p>\n

=<\/p>\n

1<\/p>\n

F<\/p>\n

\u2211<\/p>\n

f<\/p>\n

freq<\/p>\n

\u2061<\/p>\n

f<\/p>\n

.<\/p>\n

\\\\alpha_f=\\\\log\\\\left(\\\\frac{\\\\operatorname{freq}_f}{\\\\bar f}+\\\\epsilon\\\\right),\\\\qquad \\\\bar f=\\\\frac1F\\\\sum_f\\\\operatorname{freq}_f. <\/p>\n

<\/span><\/span>\u03b1<\/span><\/span>f<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>=<\/span><\/span><\/span><\/span>log<\/span><\/span><\/span>(<\/span><\/span><\/span><\/span><\/span>f<\/span><\/span><\/span>\u02c9<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>freq<\/span><\/span><\/span>f<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>+<\/span><\/span>\u03f5<\/span>)<\/span><\/span><\/span><\/span>,<\/span><\/span><\/span><\/span>f<\/span><\/span><\/span>\u02c9<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>=<\/span><\/span><\/span><\/span><\/span><\/span>F<\/span><\/span><\/span><\/span><\/span><\/span><\/span>1<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>f<\/span><\/span><\/span><\/span>\u2211<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>freq<\/span><\/span><\/span>f<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>.<\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n

STFT \u7684\u9891\u7387\u8f74\u5bf9\u5e94\u771f\u5b9e\u7269\u7406\u9891\u7387，\u56e0\u6b64\u6309\u9891\u7387\u53c2\u6570\u5316\u5177\u6709\u660e\u786e\u52a8\u673a\u3002\u56fe7\u663e\u793a\u5b66\u4e60\u540e\u7684\u53c2\u6570\u5728\u4fdd\u7559\u5148\u9a8c\u7ed3\u6784\u7684\u540c\u65f6，\u4f4e\u4e2d\u9891\u533a\u57df\u4f5c\u51fa\u4e86\u8f83\u5f3a\u8c03\u6574\u3002\u5b83\u8bc1\u660e\u6a21\u578b\u5728\u4f7f\u7528\u9891\u6bb5\u5dee\u5f02，\u4e0d\u5e94\u88ab\u6269\u5927\u4e3a\u5df2\u7ecf\u5efa\u7acb\u5b8c\u6574\u7684\u4eba\u7c7b\u542c\u89c9\u673a\u5236\u3002<\/p>\n

5.2 Band-Mode Refiner：\u5206\u9891\u6bb5\u4fee\u590d\u5e45\u5ea6\u548c\u76f8\u4f4d<\/h4>\n

Refiner \u662f\u8f7b\u91cf ConvNeXt-1D：\u4f4e\u9891\u53ea\u4fee\u76f8\u4f4d，\u4e2d\u9891\u540c\u65f6\u4fee\u5e45\u5ea6\u4e0e\u76f8\u4f4d，\u9ad8\u9891\u53ea\u4fee\u5e45\u5ea6\u3002\u5176\u53c2\u6570\u4ee5\u96f6\u521d\u59cb\u5316，\u4f7f\u521d\u59cb\u8f93\u51fa\u7b49\u4e8e\u539f\u89e3\u7801\u7ed3\u679c，\u51cf\u5c11\u63a5\u5165\u65b0\u6a21\u5757\u65f6\u5bf9\u5df2\u6709\u91cd\u5efa\u7684\u6270\u52a8\u3002<\/p>\n

\"Table<\/p>\n

\u5148\u8fdb\u884c\u91cd\u5efa\u9884\u8bad\u7ec3，\u518d\u5f15\u5165\u6ce2\u5f62\u57df\u5bf9\u6297\u8bad\u7ec3，\u6700\u540e\u51bb\u7ed3\u7f16\u89e3\u7801\u5668\u3001\u8bad\u7ec3 Refiner，\u5e76\u52a0\u5165\u6ce2\u5f62\u4e0e\u9891\u8c31\u5224\u522b\u5668\u3002\u88682\u5b8c\u6574\u5217\u51fa\u4e86\u4f18\u5316\u5668\u3001\u5b66\u4e60\u7387\u3001\u88c1\u526a\u957f\u5ea6\u3001\u5224\u522b\u5668\u548c\u635f\u5931\u6743\u91cd\u3002\u8fd9\u8bf4\u660e\u9ad8\u4fdd\u771f\u6548\u679c\u5e76\u975e\u53ea\u6765\u81ea\u4e00\u4e2a\u540e\u5904\u7406\u5c42，\u800c\u662f\u8868\u793a\u3001\u611f\u77e5\u635f\u5931\u4e0e\u5206\u9636\u6bb5\u4f18\u5316\u5171\u540c\u4f5c\u7528\u3002<\/p>\n

6. \u6570\u636e\u8d28\u91cf：\u91c7\u6837\u7387\u9ad8，\u4e0d\u4ee3\u8868\u539f\u59cb\u5185\u5bb9\u9ad8\u4fdd\u771f<\/h3>\n

\u4ece MP3 \u8f6c\u4e3a\u65e0\u635f\u5bb9\u5668\u3001\u628a\u5355\u58f0\u9053\u590d\u5236\u6210\u53cc\u58f0\u9053\u3001\u628a\u4f4e\u91c7\u6837\u7387\u97f3\u9891\u4e0a\u91c7\u6837\u523048 kHz，\u90fd\u53ef\u80fd\u8ba9\u6587\u4ef6\u5c5e\u6027\u770b\u8d77\u6765\u5408\u683c，\u5374\u6ca1\u6709\u589e\u52a0\u771f\u5b9e\u5185\u5bb9\u3002\u5bf9\u751f\u6210\u5f0f\u6e32\u67d3\u5668\u6765\u8bf4，\u8fd9\u7c7b\u6570\u636e\u4f1a\u6559\u4f1a\u6a21\u578b\u9519\u8bef\u7684\u9ad8\u9891\u7ed3\u6784\u548c\u7acb\u4f53\u58f0\u5206\u5e03\u3002<\/p>\n

\"Table<\/p>\n

\u88683\u5305\u542b\u7801\u7387\u53d8\u5316\u3001\u54cd\u5ea6\u3001\u524a\u6ce2\u98ce\u9669\u3001\u5de6\u53f3\u58f0\u9053\u5dee\u5f02\u548c\u9891\u7387\u622a\u6b62\u7b49\u6307\u6807\u3002\u7f16\u7801\u5668\u6807\u8bc6\u4e0e\u8f6c\u6362\u75d5\u8ff9\u662f\u89c4\u5219\u5f15\u64ce\u7684\u63d0\u793a\u4fe1\u53f7，\u4e0d\u662f\u201c\u4f7f\u7528\u67d0\u4e2a\u8f6f\u4ef6\u5904\u7406\u8fc7\u5c31\u4e00\u5b9a\u52a3\u8d28\u201d\u7684\u666e\u9002\u7ed3\u8bba\u3002\u7b5b\u9009\u9608\u503c\u8fd8\u9700\u8981\u968f\u4f53\u88c1\u548c\u6bcd\u5e26\u5904\u7406\u65b9\u5f0f\u6821\u51c6，\u5426\u5219\u53ef\u80fd\u6392\u65a5\u672c\u5c31\u4f4e\u52a8\u6001\u6216\u7a84\u9891\u7684\u97f3\u4e50\u3002<\/p>\n

\u9891\u7387\u622a\u6b62\u68c0\u6d4b\u628a\u8fb9\u7f18\u566a\u58f0\u5e95\u4e0e\u4e2d\u6bb5\u4fe1\u53f7\u5206\u5f00\u4f30\u8ba1\u3002\u5bf9\u5f00\u5934\u3001\u7ed3\u5c3e\u540410%\u7684\u7247\u6bb5\u505a8192\u70b9RFFT，\u5f52\u4e00\u5316\u5e76\u5e73\u5747\u5e45\u5ea6，\u5728\u6700\u9ad810%\u9891\u7387 bins \u4e0a\u53d6\u4e2d\u4f4d\u6570\u3002\u516c\u5f0f（7）：<\/p>\n

<\/p>\n

\u03b7<\/p>\n

^<\/p>\n

=<\/p>\n

20<\/p>\n

log<\/p>\n

\u2061<\/p>\n

10<\/p>\n

(<\/p>\n

median<\/p>\n

\u2061<\/p>\n

(<\/p>\n

M<\/p>\n

\u203e<\/p>\n

e<\/p>\n

d<\/p>\n

g<\/p>\n

e<\/p>\n

[<\/p>\n

t<\/p>\n

o<\/p>\n

p<\/p>\n

\u00a0<\/p>\n

10<\/p>\n

%<\/p>\n

\u00a0<\/p>\n

b<\/p>\n

i<\/p>\n

n<\/p>\n

s<\/p>\n

]<\/p>\n

)<\/p>\n

)<\/p>\n

.<\/p>\n

\\\\widehat\\\\eta=20\\\\log_{10}\\\\left(\\\\operatorname{median}\\\\bigl(\\\\overline{\\\\mathbf M}_{\\\\mathrm{edge}}[\\\\mathrm{top}\\\\ 10\\\\%\\\\ \\\\mathrm{bins}]\\\\bigr)\\\\right). <\/p>\n

<\/span><\/span><\/span>\u03b7<\/span><\/span><\/span><\/p>\n

<\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>=<\/span><\/span><\/span><\/span>20<\/span><\/span>log<\/span><\/span><\/span>10<\/span><\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>(<\/span><\/span>median<\/span><\/span>(<\/span><\/span><\/span>M<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>edge<\/span><\/span><\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>[<\/span>top<\/span><\/span>\u00a0<\/span>10%<\/span>\u00a0<\/span>bins<\/span><\/span>]<\/span>)<\/span><\/span>)<\/span><\/span><\/span><\/span>.<\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n

\"Figure<\/p>\n

\u5728\u4e94\u4e2a\u5185\u90e8\u7a97\u53e3\u5bfb\u627e\u76f8\u5bf9\u5cf0\u503c\u4ecd\u9ad8\u4e8e\u221280 dB\u7684\u6700\u9ad8\u9891\u70b9 <\/p>\n

f<\/p>\n

c<\/p>\n

f_c<\/p>\n

<\/span><\/span>f<\/span><\/span>c<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>，\u6bd4\u8f83\u5176\u4e24\u4fa7\u54042 kHz\u8303\u56f4\u7684\u80fd\u91cf\u4e0b\u964d\u3002\u516c\u5f0f（8）\u6309\u6587\u4e2d\u7684\u5206\u8d1d\u8c31\u53e3\u5f84\u53ef\u5199\u4e3a：<\/p>\n

<\/p>\n

\u0394<\/p>\n

d<\/p>\n

B<\/p>\n

=<\/p>\n

max<\/p>\n

\u2061<\/p>\n

M<\/p>\n

\u203e<\/p>\n

i<\/p>\n

n<\/p>\n

t<\/p>\n

[<\/p>\n

f<\/p>\n

c<\/p>\n

\u2212<\/p>\n

2<\/p>\n

k<\/p>\n

H<\/p>\n

z<\/p>\n

:<\/p>\n

f<\/p>\n

c<\/p>\n

]<\/p>\n

\u2212<\/p>\n

max<\/p>\n

\u2061<\/p>\n

M<\/p>\n

\u203e<\/p>\n

i<\/p>\n

n<\/p>\n

t<\/p>\n

[<\/p>\n

f<\/p>\n

c<\/p>\n

:<\/p>\n

f<\/p>\n

c<\/p>\n

+<\/p>\n

2<\/p>\n

k<\/p>\n

H<\/p>\n

z<\/p>\n

]<\/p>\n

.<\/p>\n

\\\\Delta_{\\\\mathrm{dB}}=\\\\max\\\\overline{\\\\mathbf M}_{\\\\mathrm{int}}[f_c-2\\\\mathrm{kHz}:f_c]-\\\\max\\\\overline{\\\\mathbf M}_{\\\\mathrm{int}}[f_c:f_c+2\\\\mathrm{kHz}]. <\/p>\n

<\/span><\/span>\u0394<\/span><\/span>dB<\/span><\/span><\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>=<\/span><\/span><\/span><\/span>max<\/span><\/span><\/span>M<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>int<\/span><\/span><\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>[<\/span>f<\/span><\/span>c<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>\u2212<\/span><\/span><\/span><\/span>2<\/span>kHz<\/span><\/span><\/span>:<\/span><\/span><\/span><\/span>f<\/span><\/span>c<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>]<\/span><\/span>\u2212<\/span><\/span><\/span><\/span>max<\/span><\/span><\/span>M<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>int<\/span><\/span><\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>[<\/span>f<\/span><\/span>c<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>:<\/span><\/span><\/span><\/span>f<\/span><\/span>c<\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>+<\/span><\/span><\/span><\/span>2<\/span>kHz<\/span><\/span>]<\/span>.<\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n

\u8fd9\u91cc\u4e24\u9879\u5e94\u7406\u89e3\u4e3a\u540c\u4e00\u53c2\u8003\u4e0b\u7684\u5206\u8d1d\u8c31\u503c；\u82e5\u5b9e\u73b0\u5b58\u50a8\u7684\u662f\u7ebf\u6027\u5e45\u5ea6，\u5fc5\u987b\u5148\u8f6c\u6362\u6210\u5bf9\u6570\u503c，\u4e0d\u80fd\u628a\u7ebf\u6027\u5e45\u5ea6\u5dee\u5f53\u4f5c dB\u3002\u6ca1\u6709\u53ef\u9760\u622a\u6b62\u540e\u4fe1\u53f7\u65f6，\u4ee5\u4f30\u8ba1\u566a\u58f0\u5e95\u66ff\u4ee3\u540e\u9879\u3002\u9608\u503c\u540c\u65f6\u770b\u622a\u6b62\u9891\u7387\u5360Nyquist\u7684\u6bd4\u4f8b\u4e0e\u843d\u5dee：\u4f8b\u5982\u6bd4\u4f8b\u4f4e\u4e8e0.85\u4e14\u4e0b\u964d\u81f3\u5c1140 dB，\u6216\u8005\u63a5\u8fd1\u566a\u58f0\u5e95\u65f6\u81f3\u5c1125 dB，\u4f1a\u5224\u4e3a\u786c\u622a\u6b62；\u6bd4\u4f8b\u4f4e\u4e8e0.90\u4e14\u4e0b\u964d\u81f3\u5c1120 dB\u4e3a\u53ef\u7591\u3002<\/p>\n

\u8fd9\u662f\u4e00\u5957\u58f0\u5b66\u8d28\u91cf\u542f\u53d1\u5f0f，\u4e0d\u80fd\u8bc1\u660e\u6570\u636e\u7248\u6743\u3001\u539f\u521b\u6027\u6216\u5168\u90e8\u9891\u6bb5\u7684\u542c\u611f\u8d28\u91cf\u3002\u5176\u7814\u7a76\u4ef7\u503c\u5728\u4e8e\u628a\u201c\u9ad8\u4fdd\u771f\u6570\u636e\u201d\u8f6c\u5316\u4e3a\u53ef\u68c0\u67e5\u7684\u8bc1\u636e，\u800c\u975e\u53ea\u76f8\u4fe1\u5bb9\u5668\u5143\u4fe1\u606f\u3002<\/p>\n

7. \u8bad\u7ec3\u8bfe\u7a0b\u4e0e\u504f\u597d\u4f18\u5316：\u8d28\u91cf\u63d0\u5347\u4e5f\u9700\u8981\u9632\u6b62\u5956\u52b1\u504f\u5dee<\/h3>\n

LLM \u9884\u8bad\u7ec3\u4f7f\u7528\u8d28\u91cf\u5206\u6876\u3002\u5185\u90e8MOS\u9884\u6d4b\u5668\u5728\u6bcf\u4e2a\u97f3\u4e50\u4f53\u88c1\u5185\u6392\u5e8f，\u4ee590%\u300175%\u300150%\u300125%\u30015%\u30011%\u7b49\u5206\u4f4d\u9608\u503c\u5206\u6210Q1\u81f3Q7，Q1\u8d28\u91cf\u6700\u9ad8，\u79fb\u9664Q7\u3002\u6309\u4f53\u88c1\u5f52\u4e00\u5316\u53ef\u4ee5\u7f13\u89e3\u4e3b\u6d41\u98ce\u683c\u4e3b\u5bfc\u6253\u5206\u7684\u95ee\u9898，\u4f46\u5206\u6876\u6700\u7ec8\u4ecd\u4f9d\u8d56\u9884\u6d4b\u5668\u7684\u5ba1\u7f8e\u4e0e\u8986\u76d6\u8303\u56f4\u3002<\/p>\n

\u8bfe\u7a0b\u5148\u7528Q3\u2013Q6\u5b66\u4e60\u5e7f\u6cdb\u6620\u5c04，\u518d\u5728Q2\u9000\u706b，\u6700\u540e\u7528Q1\u4e0e\u989d\u5916\u7cbe\u9009\u6837\u672c\u5f3a\u5316\u3002\u7b2c\u4e00\u9636\u6bb5\u52a0\u516520%\u5668\u4e50\u5e76\u505a\u8bed\u8a00\u5e73\u8861，\u907f\u514d\u628a\u6240\u6709\u97f3\u4e50\u90fd\u538b\u6210\u201c\u6709\u6b4c\u8bcd\u7684\u4eba\u58f0\u751f\u6210\u201d\u3002\u540e\u8bad\u7ec3\u4f9d\u6b21\u91c7\u7528\u9ad8\u8d28\u91cfSFT\u3001\u53cd\u590d\u751f\u6210\u5019\u9009\u5e76\u6784\u9020\u504f\u597d\u5bf9\u7684\u79bb\u7ebfDPO\u3001\u5728\u7ebfGSPO\u3002\u5956\u52b1\u5305\u62ec\u5185\u90e8\u97f3\u4e50\u6027MOS\u3001\u7531Qwen3.5-Omni\u8bc4\u4ef7\u7684\u6307\u4ee4\u9075\u5faa，\u4ee5\u53caQwen3-ASR\u53c2\u4e0e\u7684\u6b4c\u8bcd\u4e00\u81f4\u6027\u3002<\/p>\n

\u8fd9\u4e9b\u9636\u6bb5\u6784\u6210\u5408\u7406\u7684\u7a33\u5b9a\u5230\u63a2\u7d22\u8def\u5f84，\u4f46\u8bba\u6587\u6ca1\u6709\u7528\u5b8c\u6574\u6d88\u878d\u628a\u6bcf\u4e00\u9636\u6bb5\u7684\u589e\u76ca\u72ec\u7acb\u62c6\u5f00\u3002\u5956\u52b1\u6a21\u578b\u4e0e\u8bc4\u4ef7\u6307\u6807\u95f4\u53ef\u80fd\u5b58\u5728\u504f\u597d\u76f8\u5173，\u4f18\u5316\u81ea\u52a8\u5206\u6570\u4e5f\u53ef\u80fd\u964d\u4f4e\u98ce\u683c\u591a\u6837\u6027\u3002\u540e\u7eed\u7814\u7a76\u5e94\u89c2\u5bdf\u5c11\u6570\u8bed\u8a00\u3001\u975e\u4e3b\u6d41\u4f53\u88c1\u3001\u957f\u7ed3\u6784\u53d8\u594f\u548c\u5f3a\u8868\u8fbe\u6b4c\u5531，\u5e76\u4f7f\u7528\u72ec\u7acb\u4eba\u8bc4\u68c0\u67e5\u5956\u52b1\u662f\u5426\u771f\u6b63\u6539\u5584\u7528\u6237\u4f53\u9a8c\u3002<\/p>\n

8. \u5b9e\u9a8c\u7ed3\u679c：\u97f3\u4e50\u6027\u3001\u53ef\u63a7\u6027\u4e0e\u65cb\u5f8b\u4fdd\u6301\u5b58\u5728\u4e0d\u540c\u6700\u4f18\u70b9<\/h3>\n

\"Table<\/p>\n

Qwen-Music \u5728\u516b\u4e2a\u4f53\u88c1\u4e2d\u4e94\u9879\u83b7\u5f97\u6700\u9ad8\u8bc4\u5206，\u4f46\u8fd9\u4e9b\u8bc4\u5206\u6309\u4f53\u88c1\u72ec\u7acb\u4f30\u8ba1，\u53ea\u9002\u5408\u540c\u4e00\u884c\u5185\u6bd4\u8f83\u3002\u4f8b\u5982\u4e0d\u80fd\u628a\u7535\u5b50\u97f3\u4e50\u76841140\u4e0e\u6d41\u884c\u97f3\u4e50\u76841020\u76f8\u51cf，\u89e3\u91ca\u4e3a\u8be5\u6a21\u578b\u7535\u5b50\u97f3\u4e50\u80fd\u529b\u9ad8\u51fa120\u5206\u3002\u4f53\u88c1\u7ec6\u5206\u8868\u4e5f\u8868\u660e\u603b\u4f53\u9886\u5148\u4e0d\u4f1a\u81ea\u52a8\u8f6c\u5316\u4e3a\u6bcf\u4e00\u79cd\u98ce\u683c\u90fd\u6700\u597d\u3002<\/p>\n

\"Table<\/p>\n

\u8bba\u6587\u62a5\u544a\u5728SongBench\u3001SongEval\u548cAudioBox-Aesthetic\u517116\u4e2a\u97f3\u4e50\u6027\u4e0e\u97f3\u8d28\u6307\u6807\u4e2d13\u9879\u53d6\u5f97\u6700\u4f18，\u5305\u542b\u8868\u4e2d\u663e\u793a\u7684\u5e76\u5217\u6700\u4f18\u3002\u7ed3\u6784\u8bc4\u52066.94\u4f4e\u4e8eMureka V8\u76847.02，PER\u4e3a6.10，\u9ad8\u4e8eSuno V5.5\u76844.19，\u540e\u8005\u5728\u6b4c\u8bcd\u53ef\u61c2\u5ea6\u6307\u6807\u4e0a\u66f4\u597d\u3002\u6807\u7b7e\u9075\u5faa\u4e5f\u5e76\u975e\u5168\u9762\u9886\u5148\u3002\u7531\u6b64\u66f4\u5408\u7406\u7684\u5224\u65ad\u662f\u5b83\u53d6\u5f97\u4e86\u8f83\u5f3a\u7684\u7efc\u5408\u5e73\u8861，\u800c\u4e0d\u662f\u6240\u6709\u7ef4\u5ea6\u90fd\u83b7\u80dc\u3002<\/p>\n

PER\u6765\u81eaASR\u8f6c\u5199\u4e0e\u8f93\u5165\u6b4c\u8bcd\u6bd4\u8f83，\u56e0\u6b64\u540c\u65f6\u53d7ASR\u9519\u8bef\u5f71\u54cd；Gemini\u5bf9\u98ce\u683c\u6807\u7b7e\u76841\u201310\u5206\u8bc4\u7ea7\u5c5e\u4e8e\u6a21\u578b\u8bc4\u5ba1，\u4e5f\u4e0d\u7b49\u4e8e\u4eba\u7c7b\u5ba2\u89c2\u771f\u503c\u3002600\u7ec4\u8f93\u5165\u7531AI\u751f\u6210，\u80fd\u591f\u63d0\u4f9b\u7edf\u4e00\u6d4b\u8bd5\u6761\u4ef6，\u4f46\u8986\u76d6\u8303\u56f4\u4ecd\u53ef\u80fd\u504f\u79bb\u771f\u5b9e\u521b\u4f5c\u8005\u7684\u590d\u6742\u7f16\u8f91\u8bf7\u6c42\u3002<\/p>\n

\"Table<\/p>\n

\u6b64\u96c6\u5408\u5305\u542b100\u4e2a\u82f1\u6587\u4e0e100\u4e2a\u4e2d\u6587\u4f8b\u5b50，\u53ef\u4ee5\u6bd4\u8f83Suno V5.5\u3001Suno V5\u4e0eMiniMax Cover\u3002\u65cb\u5f8b\u4fdd\u6301\u4f7f\u7528\u76f8\u5bf9MIDI\u8868\u793a，\u7ecfDTW\u5bf9\u9f50\u540e\u8ba1\u7b97\u534a\u97f3MAE\u3002\u8be5\u6307\u6807\u66f4\u5173\u6ce8\u65cb\u5f8b\u8f6e\u5ed3，\u800c\u4e0d\u662f\u7edd\u5bf9\u8c03\u9ad8\u3001\u6b4c\u624b\u8eab\u4efd\u6216\u5b8c\u6574\u7f16\u66f2\u590d\u523b\u3002<\/p>\n

\"Table<\/p>\n

\u7b2c\u4e8c\u7ec4\u540c\u6837\u5404\u542b100\u4e2a\u4e2d\u82f1\u6587\u6837\u672c，\u8868\u6ce8\u4e3a\u5f00\u653e\u8bb8\u53ef\u97f3\u4e50\u3002Suno\u4e0d\u63a5\u53d7\u8fd9\u7c7b\u73b0\u5b9e\u6b4c\u66f2\u53c2\u8003\u8f93\u5165，\u56e0\u6b64\u6ca1\u6709\u7eb3\u5165\u8be5\u7ec4\u6bd4\u8f83，\u4e0d\u80fd\u628a\u7f3a\u5e2d\u5f53\u4f5c\u751f\u6210\u5931\u8d25\u3002Qwen-Music\u7684section\u6a21\u5f0fMAE\u4e3a1.44，unique-section\u4e3a1.80，MiniMax\u4e3a1.76；unique-section\u7684PER\u5374\u4ece20.20\u6539\u5584\u523018.49，\u5e76\u5728\u591a\u9879\u6807\u7b7e\u9075\u5faa\u4e0a\u66f4\u597d\u3002\u6761\u4ef6\u7c92\u5ea6\u786e\u5b9e\u6539\u53d8\u4e86\u65cb\u5f8b\u5fe0\u5b9e\u5ea6\u4e0e\u518d\u521b\u4f5c\u81ea\u7531\u4e4b\u95f4\u7684\u5e73\u8861\u3002<\/p>\n

8.1 \u6e32\u67d3\u6d88\u878d：\u4fdd\u7559\u9aa8\u67b6，\u589e\u5f3a\u6587\u672c\u6761\u4ef6<\/h4>\n

\"Table<\/p>\n

\u8fd9\u4e00\u7ec4\u4e2d\u82f1\u6587\u5404100\u6837\u672c\u7684\u5b9e\u9a8c，\u4e3a\u516c\u5e73\u6bd4\u8f83\u7ed5\u8fc7\u4e86Band-Mode Refiner\u3002\u6700\u4f18\u603b\u4f53\u7ec4\u5408\u662fSpec-VAE\u3001\u6807\u7b7e\u52a0\u6b4c\u8bcd\u3001Text-drop CFG\u3002\u5e94\u9010\u5217\u68c0\u67e5\u63a7\u5236\u53d8\u91cf：\u8868\u5185\u201c\u65e0\u6587\u672c\u201d\u5217\u4f7f\u7528Levo 2 VAE，\u800c\u90e8\u5206\u5176\u4ed6\u5217\u540c\u65f6\u6539\u53d8\u4e86\u6f5c\u53d8\u91cf\u9aa8\u5e72，\u4e0d\u80fd\u628a\u5168\u90e8\u5dee\u5f02\u90fd\u5355\u72ec\u5f52\u56e0\u4e8e\u6587\u672c\u6761\u4ef6\u3002\u6bd4\u8f83\u540c\u4e00Spec-VAE\u4e0b\u4e0d\u540cCFG\u8bbe\u7f6e，\u624d\u66f4\u76f4\u63a5\u652f\u6491\u7a7a\u5206\u652f\u8bbe\u8ba1\u7684\u4f5c\u7528\u3002<\/p>\n

\"Table<\/p>\n

Refiner\u4f7fMel Distance\u4ece0.572\u964d\u52300.461，STFT Distance\u4ece0.916\u964d\u52300.870，CCPC\u4ece0.966\u63d0\u5347\u52300.973\u3002\u8868\u4e2d\u4fdd\u7559\u4e86\u9010\u6587\u4ef6\u7edf\u8ba1\u768495%\u7f6e\u4fe1\u533a\u95f4\u3002\u5b83\u4e5f\u6ca1\u6709\u5728SI-SDR\u4e0a\u8d85\u8fc7\u5168\u90e8\u5176\u4ed6\u7cfb\u7edf：11.3\u4ecd\u4f4e\u4e8e\u8868\u4e2d\u768412.5\u3002\u8fd9\u8bf4\u660e\u9891\u8c31\u3001\u58f0\u9053\u4e0e\u6ce2\u5f62\u6307\u6807\u8bc4\u4f30\u7684\u6027\u8d28\u4e0d\u540c，\u4e0d\u80fd\u538b\u6210\u4e00\u4e2a\u65e0\u6761\u4ef6\u7684\u201c\u97f3\u8d28\u6700\u597d\u201d\u3002\u5404\u7cfb\u7edf\u6309\u539f\u751f\u5de5\u4f5c\u6761\u4ef6\u8bc4\u6d4b，\u4e5f\u4e0d\u6784\u6210\u76f8\u540c\u7801\u7387\u6216\u7b97\u529b\u9884\u7b97\u4e0b\u7684\u4e25\u683c\u6bd4\u8f83\u3002<\/p>\n

9. \u53ef\u590d\u73b0\u8fb9\u754c\u4e0e\u5de5\u7a0b\u843d\u5730<\/h3>\n

\u62a5\u544a\u516c\u5f00\u4e86\u67b6\u6784\u3001\u8bad\u7ec3\u8bfe\u7a0b\u3001\u635f\u5931\u3001\u90e8\u5206\u8d85\u53c2\u6570\u548c\u8be6\u7ec6\u8bc4\u6d4b，\u4f46\u4e0d\u80fd\u4ec5\u56e0\u540d\u79f0\u5e26Qwen\u5c31\u63a8\u65ad\u6743\u91cd\u3001\u8bad\u7ec3\u96c6\u548c\u5b8c\u6574\u4ee3\u7801\u5747\u53ef\u4e0b\u8f7d\u3002\u672c\u6b21\u6838\u9a8c\u6ca1\u6709\u786e\u8ba4\u4e0e\u62a5\u544a\u5bf9\u5e94\u7684\u5b98\u65b9\u5b8c\u6574\u6743\u91cd\u548c\u8bad\u7ec3\u590d\u73b0\u5305；\u72ec\u7acb\u793e\u533a\u91cd\u5efa\u9879\u76ee\u4e5f\u4e0d\u80fd\u4f5c\u4e3a\u5b98\u65b9\u6743\u91cd\u6216\u8d28\u91cf\u7b49\u4ef7\u7684\u8bc1\u636e\u3002<\/p>\n

\u8bba\u6587\u540c\u65f6\u7f3a\u5c11\u8986\u76d6\u5b8c\u6574\u7cfb\u7edf\u7684\u751f\u6210\u901f\u5ea6\u3001\u786c\u4ef6\u3001\u5185\u5b58\u548c\u6bcf\u5206\u949f\u97f3\u4e50\u6210\u672c\u6d4b\u91cf\u300225 Hz\u662f\u8bed\u4e49\u5e8f\u5217\u9891\u7387，48 kHz\u662f\u8f93\u51fa\u91c7\u6837\u7387，\u90fd\u4e0d\u662f\u63a8\u7406\u541e\u5410\u7387\u3002\u957f\u6b4c\u7684AR\u5e8f\u5217\u3001DiT\u91c7\u6837\u6b65\u6570\u4e0e\u6e32\u67d3\u5668\u5360\u7528\u9700\u8981\u8054\u5408\u6d4b\u91cf，\u624d\u80fd\u5224\u65ad\u662f\u5426\u9002\u7528\u4e8e\u5b9e\u65f6\u4f34\u594f\u3001\u79bb\u7ebf\u751f\u4ea7\u6216\u6279\u91cf\u7d20\u6750\u751f\u6210\u3002<\/p>\n

\u5bf9\u521b\u4f5c\u5de5\u5177\u56e2\u961f，\u66f4\u6709\u610f\u4e49\u7684\u9a8c\u6536\u662f\u80fd\u5426\u56fa\u5b9a\u6b4c\u8bcd\u53ea\u6362\u7f16\u66f2\u3001\u4fdd\u7559\u526f\u6b4c\u65cb\u5f8b\u4fee\u6539\u4e3b\u6b4c\u3001\u7a33\u5b9a\u91cd\u751f\u5c40\u90e8\u7247\u6bb5，\u4ee5\u53ca\u5728\u591a\u6b21\u7f16\u8f91\u540e\u4fdd\u6301\u7edf\u4e00\u98ce\u683c\u3002\u5f53\u524d\u62a5\u544a\u652f\u6301\u6587\u672c\u521b\u4f5c\u548c\u53c2\u8003\u65cb\u5f8b\u6539\u7f16，\u4e0d\u81ea\u52a8\u8bc1\u660e\u8fd9\u4e9b\u7ec6\u7c92\u5ea6\u7f16\u8f91\u63a5\u53e3\u5df2\u7ecf\u63d0\u4f9b\u3002<\/p>\n

10. Rocky\u7684\u5224\u65ad：\u97f3\u4e50\u6a21\u578b\u7684\u957f\u671f\u4ef7\u503c\u5728\u53ef\u7f16\u8f91\u4e2d\u95f4\u5c42<\/h3>\n

\u8bed\u4e49\u538b\u7f29\u8ba9\u5206\u949f\u7ea7\u6b4c\u66f2\u8fdb\u5165\u8bed\u8a00\u6a21\u578b\u7684\u53ef\u5904\u7406\u8303\u56f4，\u65cb\u5f8b\u8ba1\u5212\u8ba9\u53c2\u8003\u63a7\u5236\u62e5\u6709\u660e\u786e\u63a5\u53e3，\u751f\u6210\u5f0f\u6e32\u67d3\u518d\u8865\u8db3\u58f0\u5b66\u7ec6\u8282\u3002Qwen-Music\u7684\u4ef7\u503c，\u5728\u4e8e\u628a\u957f\u671f\u7ed3\u6784\u4e0e\u5c40\u90e8\u4fdd\u771f\u5ea6\u5206\u5f00\u5904\u7406，\u540c\u65f6\u8ba9\u4e8c\u8005\u901a\u8fc7\u53ef\u5b66\u4e60\u7684\u6761\u4ef6\u8fde\u63a5\u3002<\/p>\n

\u503c\u5f97\u7ee7\u7eed\u7814\u7a76\u7684\u65b9\u5411，\u662f\u5728\u8fd9\u4e00\u4e2d\u95f4\u5c42\u4e0a\u5efa\u7acb\u53ef\u9a8c\u8bc1\u7f16\u8f91：\u54ea\u4e2atoken\u6bb5\u5bf9\u5e94\u526f\u6b4c\u3001\u54ea\u4e9b\u6761\u4ef6\u5f71\u54cd\u97f3\u8272\u3001\u4e00\u6b21\u4fee\u6539\u4f1a\u4e0d\u4f1a\u7834\u574f\u76f8\u90bb\u6bb5\u843d\u3002\u53ea\u6709\u80fd\u88ab\u521b\u4f5c\u8005\u7406\u89e3\u3001\u8fed\u4ee3\u4e0e\u7ea0\u6b63，\u751f\u6210\u7cfb\u7edf\u624d\u66f4\u5bb9\u6613\u8fdb\u5165\u6301\u7eed\u7684\u97f3\u4e50\u5236\u4f5c\u6d41\u7a0b\u3002<\/p>\n

\u5bf9\u7b97\u6cd5\u5de5\u7a0b\u5e08，\u8fd9\u662f\u8868\u793a\u5b66\u4e60\u3001\u5e8f\u5217\u751f\u6210\u3001\u6269\u6563\u6e32\u67d3\u4e0e\u504f\u597d\u4f18\u5316\u7ed3\u5408\u7684\u5b8c\u6574\u6848\u4f8b；\u5bf9\u4ea7\u54c1\u4e0e\u5546\u4e1a\u5224\u65ad，\u4f18\u7f8e\u6837\u4f8b\u53ea\u662f\u8d77\u70b9，\u7f16\u8f91\u7a33\u5b9a\u6027\u3001\u751f\u6210\u6210\u672c\u3001\u4f5c\u54c1\u4e0e\u58f0\u97f3\u4f7f\u7528\u6743\u3001\u5de5\u4f5c\u6d41\u96c6\u6210\u624d\u51b3\u5b9a\u53ef\u6301\u7eed\u4ef7\u503c\u3002\u516c\u5f00\u7ed3\u679c\u5df2\u7ecf\u5c55\u793a\u4e86\u8f83\u5f3a\u7ade\u4e89\u529b，\u4e0b\u4e00\u6b65\u66f4\u9700\u8981\u53ef\u590d\u73b0\u7684\u63a5\u53e3\u3001\u957f\u671f\u7ed3\u6784\u5b9e\u9a8c\u4e0e\u72ec\u7acb\u542c\u8bc4\u6765\u8bc1\u660e\u5b83\u80fd\u7a33\u5b9a\u6210\u4e3a\u751f\u4ea7\u5de5\u5177\u3002<\/p>\n

\u63a8\u8350\u9605\u8bfb<\/h2>\n

1. \u6df1\u5165\u6d45\u51fa\u5b8c\u6574\u89e3\u6790AI Agent（AI\u667a\u80fd\u4f53）\u7684\u6838\u5fc3\u57fa\u7840\u77e5\u8bc6<\/h4>\n

2025\u5e74\u53ef\u4ee5\u8bf4\u662fAI Agent\u5168\u9762\u843d\u5730\u5e94\u7528\u7684\u5143\u5e74，\u56e0\u6b64Rocky\u5728\u6301\u7eed\u64b0\u5199\u5bf9AI Agent\u7684\u5168\u7ef4\u5ea6\u89e3\u6790\u6587\u7ae0：<\/p>\n

\u6df1\u5165\u6d45\u51fa\u5b8c\u6574\u89e3\u6790AI Agent（AI\u667a\u80fd\u4f53）\u7684\u6838\u5fc3\u57fa\u7840\u77e5\u8bc6<\/p>\n

2. \u6df1\u5165\u6d45\u51fa\u5b8c\u6574\u89e3\u6790\u6269\u6563\u6a21\u578bDDPM\u3001DDIM\u3001Score-Based\u3001SDE\u3001LDM\u3001Classifier\/Classifier-Free Guidance\u3001Rectified Flow\u6838\u5fc3\u57fa\u7840\u77e5\u8bc6<\/h4>\n

Rocky\u5bf9\u6269\u6563\u6a21\u578b\u7684\u672c\u8d28\u539f\u7406\u4e0e\u548c\u6838\u5fc3\u57fa\u7840\u77e5\u8bc6\u8fdb\u884c\u4e86\u5168\u9762\u7cfb\u7edf\u7684\u6df1\u5165\u6d45\u51fa\u5206\u6790\u8bb2\u89e3，\u540c\u65f6\u4e0d\u65ad\u8ddf\u8fdb\u8865\u5145\u6269\u6563\u6a21\u578b\u7684\u6700\u65b0\u6280\u672f\u53d1\u5c55，\u5e0c\u671b\u80fd\u7ed9\u5927\u5bb6\u5e26\u6765\u5e2e\u52a9：<\/p>\n

\u6df1\u5165\u6d45\u51fa\u5b8c\u6574\u89e3\u6790\u6269\u6563\u6a21\u578bDDPM\u3001DDIM\u3001Score-Based\u3001SDE\u3001LDM\u3001Classifier\/Classifier-Free Guidance\u3001Rectified Flow\u6838\u5fc3\u57fa\u7840\u77e5\u8bc6<\/p>\n

3. \u5165\u6d45\u51fa\u5b8c\u6574\u89e3\u6790FLUX.2\u3001Seedream（\u5373\u68a6）\u3001Z-image\u3001GLM-Image\u6838\u5fc3\u57fa\u7840\u77e5\u8bc6<\/h4>\n

Rocky\u5bf9AIGC\u65f6\u4ee3\u201c\u4e2d\u573a\u65f6\u523b\u201d\u4e4b\u540e\u7684\u4e3b\u6d41AIGC\u521b\u4f5c\u5927\u6a21\u578b\u7684\u6838\u5fc3\u57fa\u7840\u77e5\u8bc6\u8fdb\u884c\u4e86\u5168\u9762\u7cfb\u7edf\u7684\u6df1\u5165\u6d45\u51fa\u5206\u6790\u8bb2\u89e3，\u529b\u6c42\u8ba9\u5927\u5bb6\u901a\u4fd7\u6613\u61c2\u7406\u89e3AIGC\u65f6\u4ee3\u7684\u6280\u672f\u6d6a\u6f6e\u7684\u672c\u8d28\u4ef7\u503c：<\/p>\n

\u5165\u6d45\u51fa\u5b8c\u6574\u89e3\u6790FLUX.2\u3001Seedream（\u5373\u68a6）\u3001Z-image\u3001GLM-Image\u6838\u5fc3\u57fa\u7840\u77e5\u8bc6<\/p>\n

4. \u6df1\u5165\u6d45\u51fa\u5b8c\u6574\u89e3\u6790FLUX.1 Kontext\u548cFLUX.1 Krea\u6838\u5fc3\u57fa\u7840\u77e5\u8bc6<\/h4>\n

Rocky\u5bf9FLUX.1 Kontext\u548cFLUX.1 Krea\u7684\u6838\u5fc3\u57fa\u7840\u77e5\u8bc6\u4f5c\u4e86\u5168\u9762\u7cfb\u7edf\u7684\u68b3\u7406\u4e0e\u89e3\u6790：<\/p>\n

\u6df1\u5165\u6d45\u51fa\u5b8c\u6574\u89e3\u6790FLUX.1 Kontext\u548cFLUX.1 Krea\u6838\u5fc3\u57fa\u7840\u77e5\u8bc6<\/p>\n

5. \u6df1\u5165\u6d45\u51fa\u5b8c\u6574\u89e3\u6790DeepSeek\u7cfb\u5217\u6838\u5fc3\u57fa\u7840\u77e5\u8bc6<\/h4>\n

Rocky\u5bf9DeepSeek\u7cfb\u5217\u6a21\u578b\u7684\u6838\u5fc3\u57fa\u7840\u77e5\u8bc6\u4f5c\u4e86\u5168\u9762\u7cfb\u7edf\u7684\u68b3\u7406\u4e0e\u89e3\u6790：<\/p>\n

\u6df1\u5165\u6d45\u51fa\u5b8c\u6574\u89e3\u6790DeepSeek\u7cfb\u5217\u6838\u5fc3\u57fa\u7840\u77e5\u8bc6<\/p>\n

6. \u6df1\u5165\u6d45\u51fa\u5b8c\u6574\u89e3\u6790Stable Diffusion 3（SD 3）\u548cFLUX.1\u7cfb\u5217\u6838\u5fc3\u57fa\u7840\u77e5\u8bc6<\/h4>\n

Rocky\u5bf9Stable Diffusion 3\u548cFLUX.1\u7684\u6838\u5fc3\u57fa\u7840\u77e5\u8bc6\u4f5c\u4e86\u5168\u9762\u7cfb\u7edf\u7684\u68b3\u7406\u4e0e\u89e3\u6790：<\/p>\n

\u6df1\u5165\u6d45\u51fa\u5b8c\u6574\u89e3\u6790Stable Diffusion 3（SD 3）\u548cFLUX.1\u7cfb\u5217\u6838\u5fc3\u57fa\u7840\u77e5\u8bc6<\/p>\n

7. \u6df1\u5165\u6d45\u51fa\u5b8c\u6574\u89e3\u6790Stable Diffusion XL（SDXL）\u6838\u5fc3\u57fa\u7840\u77e5\u8bc6<\/h4>\n

Rocky\u5bf9Stable Diffusion XL\u7684\u6838\u5fc3\u57fa\u7840\u77e5\u8bc6\u4f5c\u4e86\u5168\u9762\u7cfb\u7edf\u7684\u68b3\u7406\u4e0e\u89e3\u6790：<\/p>\n

\u6df1\u5165\u6d45\u51fa\u5b8c\u6574\u89e3\u6790Stable Diffusion XL（SDXL）\u6838\u5fc3\u57fa\u7840\u77e5\u8bc6<\/p>\n

8. \u6df1\u5165\u6d45\u51fa\u5b8c\u6574\u89e3\u6790Stable Diffusion（SD）\u6838\u5fc3\u57fa\u7840\u77e5\u8bc6<\/h4>\n

Rocky\u5bf9Stable Diffusion 1.x-2.x\u7cfb\u5217\u6a21\u578b\u7684\u6838\u5fc3\u57fa\u7840\u77e5\u8bc6\u505a\u4e86\u5168\u9762\u7cfb\u7edf\u7684\u68b3\u7406\u4e0e\u89e3\u6790：<\/p>\n

\u6df1\u5165\u6d45\u51fa\u5b8c\u6574\u89e3\u6790Stable Diffusion（SD）\u6838\u5fc3\u57fa\u7840\u77e5\u8bc6<\/p>\n

9. \u6df1\u5165\u6d45\u51fa\u5b8c\u6574\u89e3\u6790Stable Diffusion\u4e2dU-Net\u7684\u524d\u4e16\u4eca\u751f\u4e0e\u6838\u5fc3\u77e5\u8bc6<\/h4>\n

Rocky\u5bf9Stable Diffusion\u4e2d\u6700\u4e3a\u5173\u952e\u7684U-Net\u7ed3\u6784\u8fdb\u884c\u4e86\u6df1\u5165\u6d45\u51fa\u7684\u5168\u9762\u89e3\u6790，\u5305\u62ec\u5176\u5728\u4f20\u7edf\u6df1\u5ea6\u5b66\u4e60\u4e2d\u7684\u4ef7\u503c\u548c\u5728AIGC\u4e2d\u7684\u4ef7\u503c：<\/p>\n

\u6df1\u5165\u6d45\u51fa\u5b8c\u6574\u89e3\u6790Stable Diffusion\u4e2dU-Net\u7684\u524d\u4e16\u4eca\u751f\u4e0e\u6838\u5fc3\u77e5\u8bc6<\/p>\n

10. \u6df1\u5165\u6d45\u51fa\u5b8c\u6574\u89e3\u6790LoRA（Low-Rank Adaptation）\u6a21\u578b\u6838\u5fc3\u57fa\u7840\u77e5\u8bc6<\/h4>\n

\u5bf9\u4e8eAIGC\u65f6\u4ee3\u4e2d\u7684\u201cResNet\u201d\u2014\u2014LoRA\u6a21\u578b，Rocky\u8fdb\u884c\u4e86\u6df1\u5165\u6d45\u51fa\u7684\u5168\u9762\u8bb2\u89e3：<\/p>\n

\u6df1\u5165\u6d45\u51fa\u5b8c\u6574\u89e3\u6790LoRA（Low-Rank Adaptation）\u6a21\u578b\u6838\u5fc3\u57fa\u7840\u77e5\u8bc6<\/p>\n

11. \u6df1\u5165\u6d45\u51fa\u5b8c\u6574\u89e3\u6790ControlNet\u6838\u5fc3\u57fa\u7840\u77e5\u8bc6<\/h4>\n

AIGC\u56fe\u50cf\u521b\u4f5c\u5f00\u6e90\u793e\u533a\u5df2\u7ecf\u5f62\u6210\u4ee5Stable Difffusion\/FLUX\u4e3a\u6838\u5fc3，ConrtolNet\u548cLoRA\u4f5c\u4e3a\u9996\u8981AI\u8f85\u52a9\u5de5\u5177\u7684\u53d8\u5316\u4e07\u5343\u7684AIGC\u56fe\u50cf\u521b\u4f5c\u5de5\u4f5c\u6d41\u3002<\/p>\n

ControlNet\u6b63\u662f\u8ba9AI\u56fe\u50cf\u521b\u4f5c\u793e\u533a\u65e0\u6bd4\u7e41\u8363\u7684\u5173\u952e\u4e00\u73af，\u5b83\u8ba9AIGC\u56fe\u50cf\u521b\u4f5c\u8fc7\u7a0b\u66f4\u52a0\u7684\u53ef\u63a7，\u66f4\u6709\u52a9\u4e8e\u5e7f\u6cdb\u5730\u5c06AIGC\u7b97\u6cd5\u89e3\u51b3\u65b9\u6848\u5e94\u7528\u5230\u5404\u884c\u5404\u4e1a\u4e2d：<\/p>\n

\u6df1\u5165\u6d45\u51fa\u5b8c\u6574\u89e3\u6790ControlNet\u6838\u5fc3\u57fa\u7840\u77e5\u8bc6<\/p>\n

12. \u6df1\u5165\u6d45\u51fa\u5b8c\u6574\u89e3\u6790Sora\u3001Seedance\u3001keling\u7b49AI\u89c6\u9891\u5927\u6a21\u578b\u6838\u5fc3\u57fa\u7840\u77e5\u8bc6<\/h4>\n

AI\u7ed8\u753b\u548cAI\u89c6\u9891\u662f\u4e24\u4e2a\u4e92\u76f8\u4fc3\u8fdb\u3001\u76f8\u4e92\u4ea4\u878d\u7684\u9886\u57df，2024\u5e74\u65e0\u7591\u662fAI\u89c6\u9891\u9886\u57df\u7684\u7206\u53d1\u4e4b\u5e74，Rocky\u5bf9AI\u89c6\u9891\u9886\u57df\u6838\u5fc3\u7684Sora\u3001Seedance\u3001Keling\u7b49\u5927\u6a21\u578b\u8fdb\u884c\u4e86\u5168\u9762\u7cfb\u7edf\u7684\u68b3\u7406\u4e0e\u89e3\u6790：<\/p>\n

\u6df1\u5165\u6d45\u51fa\u5b8c\u6574\u89e3\u6790Sora\u3001Seedance\u3001keling\u7b49AI\u89c6\u9891\u5927\u6a21\u578b\u6838\u5fc3\u57fa\u7840\u77e5\u8bc6<\/p>\n

13. \u6df1\u5165\u6d45\u51fa\u5b8c\u6574\u89e3\u6790AIGC\u65f6\u4ee3Transformer\u6838\u5fc3\u57fa\u7840\u77e5\u8bc6<\/h4>\n

\u5728AIGC\u65f6\u4ee3\u4e2d，Transformer\u4e3aAI\u884c\u4e1a\u5e26\u6765\u4e86\u6df1\u523b\u7684\u53d8\u9769\u3002Transformer\u67b6\u6784\u6b63\u5728\u4e00\u6b65\u4e00\u6b65\u91cd\u6784\u6240\u6709\u7684AI\u6280\u672f\u65b9\u5411，\u6210\u4e3aAI\u6280\u672f\u67b6\u6784\u5927\u4e00\u7edf\u4e0e\u591a\u6a21\u6001\u6574\u5408\u7684\u5173\u952e\u6838\u5fc3\u57fa\u5ea7，\u5927\u6709\u4e00\u7edf\u201cAI\u6c5f\u6e56\u201d\u4e4b\u52bf\u3002Rocky\u4e5f\u5bf9Transformer\u6a21\u578b\u8fdb\u884c\u6301\u7eed\u7684\u6df1\u5165\u6d45\u51fa\u68b3\u7406\u4e0e\u89e3\u6790：<\/p>\n

\u6df1\u5165\u6d45\u51fa\u5b8c\u6574\u89e3\u6790AIGC\u65f6\u4ee3Transformer\u6838\u5fc3\u57fa\u7840\u77e5\u8bc6<\/p>\n

14. \u6df1\u5165\u6d45\u51fa\u5b8c\u6574\u89e3\u6790ComfyUI\u3001Diffusers\u3001Stable Diffusion WebUI\u7b49\u4e3b\u6d41AIGC\u521b\u4f5c\u6846\u67b6\u6838\u5fc3\u57fa\u7840\u77e5\u8bc6<\/h4>\n

AIGC\u521b\u4f5c\u6846\u67b6\u6b63\u662fAIGC\u7b97\u6cd5\u5de5\u4f5c\u6d41\u7684\u8fd0\u884c\u8f7d\u4f53，\u76ee\u524d\u4e3b\u6d41\u7684AIGC\u521b\u4f5c\u6846\u67b6\u6709ComfyUI\u3001Diffusers\u3001Stable Diffusion WebUI\u7b49\u3002\u5728\u4f20\u7edf\u6df1\u5ea6\u5b66\u4e60\u65f6\u4ee3，PyTorch\u3001TensorFlow\u4ee5\u53caCaffe\u662f\u4f20\u7edf\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u7684\u57fa\u7840\u8fd0\u884c\u6846\u67b6，\u5230\u4e86AIGC\u65f6\u4ee3，Rocky\u76f8\u4fe1ComfyUI\u5c31\u662fAIGC\u65f6\u4ee3\u7684\u201cPyTorch\u201d\u3001Stable Diffusion WebUI\u5c31\u662fAIGC\u65f6\u4ee3\u7684\u201cTensorFlow\u201d\u3001Diffusers\u5c31\u662fAIGC\u65f6\u4ee3\u7684\u201cCaffe\u201d：<\/p>\n

\u6df1\u5165\u6d45\u51fa\u5b8c\u6574\u89e3\u6790ComfyUI\u3001Diffusers\u3001Stable Diffusion WebUI\u7b49\u4e3b\u6d41AIGC\u521b\u4f5c\u6846\u67b6\u6838\u5fc3\u57fa\u7840\u77e5\u8bc6<\/p>\n

15. \u6df1\u5165\u6d45\u51fa\u5b8c\u6574\u89e3\u6790ComfyUI\u3001Diffusers\u3001Stable Diffusion WebUI\u7b49\u4e3b\u6d41AIGC\u521b\u4f5c\u6846\u67b6\u6838\u5fc3\u57fa\u7840\u77e5\u8bc6<\/h4>\n

\u5728AIGC\u65f6\u4ee3\u4e2d，\u5982\u4f55\u5feb\u901f\u8f6c\u8eab，\u5165\u5c40AIGC\u4ea7\u4e1a？\u5982\u4f55\u6210\u4e3aAIGC\/LLM\/AI Agent\u7b97\u6cd5\/\u5f00\u53d1\u5de5\u7a0b\u5e08？\u5982\u4f55\u5728\u5b66\u6821\u4e2d\u7cfb\u7edf\u6027\u5b66\u4e60AIGC\/LLM\/AI Agent\u77e5\u8bc6，\u65a9\u83b7\u5fc3\u4eea\u7684AIGC\/LLM\/AI Agent\u7b97\u6cd5\/\u5f00\u53d1offer？<\/p>\n

Don\u2018t worry，Rocky\u4e3a\u5927\u5bb6\u603b\u7ed3\u6574\u7406\u4e86\u5168\u9762\u7684AIGC\/LLM\/AI Agent\u7b97\u6cd5\/\u5f00\u53d1\u5de5\u7a0b\u5e08\u6210\u957f\u79d8\u7c4d，\u4e3a\u5927\u5bb6\u7b54\u7591\u89e3\u60d1，\u5e0c\u671b\u80fd\u7ed9\u5927\u5bb6\u5e26\u6765\u5e2e\u52a9：<\/p>\n

\u624b\u628a\u624b\u6559\u4f60\u6210\u4e3aAIGC\/LLM\/AI Agent\u7b97\u6cd5\/\u5f00\u53d1\u5de5\u7a0b\u5e08，\u65a9\u83b7AIGC\/LLM\/AI Agent\u7b97\u6cd5\/\u5f00\u53d1offer！<\/p>\n

16. AIGC\u4ea7\u4e1a\u7684\u6df1\u5ea6\u601d\u8003\u4e0e\u5206\u6790<\/h4>\n

2023\u5e743\u670821\u65e5，\u5fae\u8f6f\u521b\u59cb\u4eba\u6bd4\u5c14\u00b7\u76d6\u8328\u5728\u5176\u535a\u5ba2\u6587\u7ae0\u300aThe Age of AI has begun\u300b\u4e2d\u8868\u793a，\u81ea\u4ece1980\u5e74\u9996\u6b21\u770b\u5230\u56fe\u5f62\u7528\u6237\u754c\u9762（graphical user interface）\u4ee5\u6765，\u4ee5OpenAI\u4e3a\u4ee3\u8868\u7684\u79d1\u6280\u516c\u53f8\u53d1\u5e03\u7684AIGC\u6a21\u578b\u662f\u4ed6\u6240\u89c1\u8fc7\u7684\u6700\u5177\u9769\u547d\u6027\u7684\u6280\u672f\u8fdb\u6b65\u3002<\/p>\n

Rocky\u4e5f\u8ba4\u4e3a，AIGC\u53ca\u5176\u751f\u6001，\u4f1a\u6210\u4e3aAI\u884c\u4e1a\u91cd\u5927\u53d8\u9769\u7684\u4e3b\u5bfc\u529b\u91cf\u3002AIGC\u4f1a\u5e26\u6765\u4e00\u4e2a\u5168\u65b0\u7684\u7ea2\u5229\u671f，\u672a\u6765\u968f\u7740AIGC\u7684\u5168\u9762\u843d\u5730\u548c\u6df1\u5ea6\u5546\u7528，\u4f1a\u6df1\u523b\u6539\u53d8\u6211\u4eec\u7684\u5de5\u4f5c\u3001\u751f\u6d3b\u3001\u5b66\u4e60\u4ee5\u53ca\u4ea4\u6d41\u65b9\u5f0f，\u5404\u884c\u5404\u4e1a\u90fd\u5c06\u88ab\u91cd\u65b0\u5b9a\u4e49，\u8fc7\u7a0b\u4f1a\u975e\u5e38\u6709\u8da3\u3002<\/p>\n

\u90a3\u4e48，\u5728\u6b64\u57fa\u7840\u4e0a，\u6211\u4eec\u8be5\u5982\u4f55\u66f4\u597d\u7684\u5ba1\u89c6AIGC\u7684\u672a\u6765？\u6211\u4eec\u8be5\u5982\u4f55\u66f4\u597d\u5730\u62e5\u62b1AIGC\u5f15\u9886\u7684\u9769\u65b0？Rocky\u51c6\u5907\u4ece\u6280\u672f\u3001\u4ea7\u54c1\u3001\u5546\u4e1a\u6a21\u5f0f\u3001\u957f\u671f\u4e3b\u4e49\u7b49\u7ef4\u5ea6\u6301\u7eed\u5206\u4eab\u4e00\u4e9b\u4e2a\u4eba\u7684\u6838\u5fc3\u601d\u8003\u4e0e\u89c2\u70b9，\u5e0c\u671b\u80fd\u5e2e\u52a9\u5404\u4f4d\u8bfb\u8005\u5bf9AIGC\u6709\u4e00\u4e2a\u5168\u9762\u7684\u4e86\u89e3：<\/p>\n

\u6df1\u5165\u6d45\u51fa\u5168\u9762\u89e3\u6790AIGC\u65f6\u4ee3\u6838\u5fc3\u4ef7\u503c\u4e0e\u53d1\u5c55\u8d8b\u52bf（2025\u5e74\u7248）<\/p>\n

17. AI\u7b97\u6cd5\u5de5\u7a0b\u5e08\u7684\u72ec\u5b64\u4e5d\u5251\u79d8\u7c4d<\/h4>\n

\u4e3a\u4e86\u65b9\u4fbf\u5927\u5bb6\u5b9e\u4e60\u3001\u6821\u62db\u4ee5\u53ca\u793e\u62db\u7684\u9762\u8bd5\u51c6\u5907，\u540c\u65f6\u5e2e\u52a9\u5927\u5bb6\u63d0\u5347\u6269\u5c55\u6280\u672f\u57fa\u672c\u9762，Rocky\u5c06\u7b26\u5408\u5927\u5382\u548cAI\u72ec\u89d2\u517d\u4ef7\u503c\u7684\u7b97\u6cd5\u9ad8\u9891\u9762\u8bd5\u77e5\u8bc6\u70b9\u64b0\u5199\u603b\u7ed3\u6210\u300a\u4e09\u5e74\u9762\u8bd5\u4e94\u5e74\u6a21\u62df\u300b\u4e4b\u72ec\u5b64\u4e5d\u5251\u79d8\u7c4d:<\/p>\n

\u3010\u4e09\u5e74\u9762\u8bd5\u4e94\u5e74\u6a21\u62df\u3011AIGC\u65f6\u4ee3\u7684\u7b97\u6cd5\u5de5\u7a0b\u5e08\u7684\u6c42\u804c\u9762\u8bd5\u79d8\u7c4d（\u6301\u7eed\u66f4\u65b0\u4e2d）<\/p>\n

18. \u6df1\u5165\u6d45\u51fa\u5b8c\u6574\u89e3\u6790AIGC\u65f6\u4ee3\u4e2dGAN（Generative Adversarial Network）\u7cfb\u5217\u6a21\u578b\u6838\u5fc3\u57fa\u7840\u77e5\u8bc6<\/h4>\n

GAN\u7cfb\u5217\u6a21\u578b\u4f5c\u4e3a\u4f20\u7edf\u6df1\u5ea6\u5b66\u4e60\u65f6\u4ee3\u7684\u6700\u70ed\u95e8\u751f\u6210\u5f0fAl\u6a21\u578b，\u5728AIGC\u65f6\u4ee3\u7ee7\u7eed\u7e41\u8363，\u4f5c\u4e3aStable Diffusion\/FLUX\u7cfb\u5217\u5927\u6a21\u578b\u7684\u201c\u5f97\u529b\u52a9\u624b\u201d，\u5e7f\u6cdb\u6d3b\u8dc3\u4e8eAlGC\u56fe\u50cf\u521b\u4f5c\u7684\u4ea7\u54c1\u4e0e\u5de5\u4f5c\u6d41\u4e2d：<\/p>\n

\u6df1\u5165\u6d45\u51fa\u5b8c\u6574\u89e3\u6790AIGC\u65f6\u4ee3\u4e2dGAN（Generative Adversarial Network）\u7cfb\u5217\u6a21\u578b\u6838\u5fc3\u57fa\u7840\u77e5\u8bc6<\/p>\n","protected":false},"excerpt":{"rendered":"

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