{"id":6928,"date":"2024-10-08T18:46:27","date_gmt":"2024-10-08T10:46:27","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=6928"},"modified":"2025-11-18T17:09:04","modified_gmt":"2025-11-18T09:09:04","slug":"emotivoice","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/pt\/emotivoice\/","title":{"rendered":"EmotiVoice\uff08\u6613\u9b54\u58f0\uff09\uff1a\u591a\u58f0\u97f3\u4e0e\u60c5\u611f\u63d0\u793a\u63a7\u5236\u7684\u6587\u672c\u8f6c\u8bed\u97f3\u5f15\u64ce"},"content":{"rendered":"<p>EmotiVoice\u662f\u4e00\u4e2a\u7531\u7f51\u6613\u6709\u9053\u5f00\u53d1\u7684\u591a\u58f0\u97f3\u548c\u60c5\u611f\u63d0\u793a\u63a7\u5236\u7684\u6587\u672c\u8f6c\u8bed\u97f3(TTS)\u5f15\u64ce\u3002\u6b64\u5f00\u6e90TTS\u5f15\u64ce\u652f\u6301\u82f1\u6587\u548c\u4e2d\u6587\uff0c\u62e5\u6709\u8d85\u8fc72000\u79cd\u4e0d\u540c\u7684\u58f0\u97f3\uff0c\u5e76\u5177\u5907\u60c5\u611f\u5408\u6210\u80fd\u529b\uff0c\u80fd\u591f\u521b\u5efa\u5e26\u6709\u5feb\u4e50\u3001\u5174\u594b\u3001\u60b2\u4f24\u548c\u6124\u6012\u7b49\u591a\u79cd\u60c5\u7eea\u7684\u8bed\u97f3\u3002\u5b83\u63d0\u4f9b\u4e86\u6613\u4e8e\u4f7f\u7528\u7684WEB\u754c\u9762\u548c\u6279\u91cf\u751f\u6210\u7ed3\u679c\u7684\u811a\u672c\u63a5\u53e3\u3002<\/p>\n<p><a href=\"https:\/\/replicate.com\/bramhooimeijer\/emotivoice\">\u6258\u7ba1\u5728Replicate\u6f14\u793a\u5730\u5740<\/a><\/p>\n<p><img decoding=\"async\" title=\"EmotiVoice\uff08\u6613\u9b54\u58f0\uff09\uff1a\u591a\u58f0\u97f3\u4e0e\u60c5\u611f\u63d0\u793a\u63a7\u5236\u7684\u6587\u672c\u8f6c\u8bed\u97f3\u5f15\u64ce-1\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2024\/10\/63860bb2c6bebde.png\" alt=\"EmotiVoice\uff08\u6613\u9b54\u58f0\uff09\uff1a\u591a\u58f0\u97f3\u4e0e\u60c5\u611f\u63d0\u793a\u63a7\u5236\u7684\u6587\u672c\u8f6c\u8bed\u97f3\u5f15\u64ce-1\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<p>\u63d0\u4f9bWEB\u754c\u9762\u548c\u811a\u672c\u6279\u5904\u7406\u63a5\u53e3<br \/>\n\u652f\u6301\u60c5\u611f\u5408\u6210<br \/>\n\u591a\u79cd\u58f0\u97f3\u9009\u62e9<br \/>\n\u652f\u6301\u4e2d\u82f1\u6587\u5408\u6210<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<p>\u67e5\u770bGitHub\u4ed3\u5e93\u83b7\u53d6\u5b89\u88c5\u3001\u4f7f\u7528\u8bf4\u660e<br \/>\n\u8fd0\u884cDocker\u955c\u50cf\u8bd5\u7528EmotiVoice<br \/>\n\u53c2\u8003Wiki\u9875\u9762\u4e0b\u8f7d\u9884\u8bad\u7ec3\u6a21\u578b\u7b49\u989d\u5916\u8d44\u6599<br \/>\n\u52a0\u5165\u5fae\u4fe1\u7fa4\u4ea4\u6d41\u53cd\u9988<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>\u4e3a\u4e86\u54cd\u5e94\u793e\u533a\u9700\u6c42\uff0c\u6211\u4eec\u5f88\u5f00\u5fc3\u5730\u53d1\u5e03\u4e86<strong>\u58f0\u97f3\u514b\u9686\u529f\u80fd<\/strong>\uff0c\u5e76\u63d0\u4f9b\u4e86\u4e24\u4e2a\u6559\u7a0b\u793a\u4f8b\uff01<\/p>\n<h3>\u6ce8\u610f\u4e8b\u9879:<\/h3>\n<p>&nbsp;<\/p>\n<ol>\n<li>\u8be5\u529f\u80fd\u81f3\u5c11\u9700\u8981\u4e00\u5f20\u00a0<strong>Nvidia GPU \u663e\u5361<\/strong>\u00a0\u3002<\/li>\n<li>\u76ee\u6807\u58f0\u97f3\u7684<strong>\u6570\u636e\u81f3\u5173\u91cd\u8981<\/strong>\uff01\u8be6\u7ec6\u8981\u6c42\u5c06\u5728\u4e0b\u4e00\u8282\u4e2d\u63d0\u4f9b\u3002<\/li>\n<li>\u76ee\u524d\uff0c\u8be5\u529f\u80fd\u4ec5\u652f\u6301\u4e2d\u6587\u548c\u82f1\u6587\uff0c\u8fd9\u610f\u5473\u7740\u4f60\u53ef\u4ee5\u4f7f\u7528\u4e2d\u6587\u6570\u636e\u6216\u82f1\u6587\u6570\u636e\u8fdb\u884c\u8bad\u7ec3\uff0c\u4ece\u800c<strong>\u5f97\u5230\u4e00\u4e2a\u80fd\u591f\u8bf4\u4e24\u79cd\u8bed\u8a00\u7684\u97f3\u8272\u6a21\u578b<\/strong>\u3002<\/li>\n<li>\u5c3d\u7ba1EmotiVoice\u652f\u6301\u60c5\u611f\u63a7\u5236\uff0c\u4f46\u5982\u679c\u60f3\u8981\u4f60\u7684\u58f0\u97f3\u4f20\u8fbe\u60c5\u611f\uff0c\u8bad\u7ec3\u6570\u636e\u4e5f\u9700\u8981\u5bcc\u6709\u60c5\u611f\u3002<\/li>\n<li>\u5728\u4ec5\u4f7f\u7528\u4f60\u7684\u6570\u636e\u8fdb\u884c\u8bad\u7ec3\u540e\uff0c\u6765\u81eaEmotiVoice\u7684<strong>\u539f\u59cb\u58f0\u97f3\u5c06\u88ab\u6539\u53d8<\/strong>\u3002\u8fd9\u610f\u5473\u7740\u65b0\u7684\u6a21\u578b\u5c06\u5b8c\u5168\u6839\u636e\u4f60\u7684\u6570\u636e\u8fdb\u884c\u5b9a\u5236\u3002\u5982\u679c\u60f3\u4f7f\u7528EmotiVoice\u76842000+\u4e2a\u539f\u59cb\u58f0\u97f3\uff0c\u5efa\u8bae\u4f7f\u7528\u539f\u59cb\u7684\u9884\u8bad\u7ec3\u6a21\u578b\u3002<\/li>\n<\/ol>\n<h3>\u8bad\u7ec3\u6570\u636e\u7684\u8be6\u7ec6\u9700\u6c42<\/h3>\n<p>&nbsp;<\/p>\n<ol>\n<li>\u97f3\u9891\u6570\u636e\u5e94\u8be5\u6709\u8f83\u9ad8\u8d28\u91cf\uff0c\u9700\u8981\u6e05\u6670\u65e0\u5931\u771f\u7684\u5355\u4e2a\u4eba\u8bed\u97f3\u3002\u65f6\u957f\u6216\u53e5\u6570\u6682\u65f6\u4e0d\u505a\u5f3a\u5236\u8981\u6c42\uff0c\u51e0\u53e5\u8bdd\u4e5f\u884c\uff0c\u4e0d\u8fc7\u63a8\u8350\u5728100\u53e5\u8bdd\u4ee5\u4e0a\u3002<\/li>\n<li>\u4e0e\u6bcf\u4e2a\u97f3\u9891\u5bf9\u5e94\u7684\u6587\u672c\u5e94\u8be5\u4e0e\u8bed\u97f3\u7684\u5185\u5bb9\u4e25\u683c\u76f8\u7b26\u3002\u5728\u8fdb\u884c\u8bad\u7ec3\u4e4b\u524d\uff0c\u539f\u59cb\u6587\u672c\u4f1a\u4f7f\u7528G2P\u8f6c\u6362\u4e3a\u97f3\u7d20\u3002\u9700\u8981\u6ce8\u610f\u505c\u987f\uff08<strong>sp<\/strong>*\uff09\u548c\u591a\u97f3\u5b57\u7684\u8f6c\u6362\u7ed3\u679c\uff0c\u5b83\u4eec\u5bf9\u8bad\u7ec3\u8d28\u91cf\u5f71\u54cd\u5f88\u5927\u3002<\/li>\n<li>\u5982\u679c\u5e0c\u671b\u4f60\u7684\u58f0\u97f3\u4f20\u8fbe\u60c5\u611f\uff0c\u8bad\u7ec3\u6570\u636e\u4e5f\u9700\u8981\u5bcc\u6709\u60c5\u611f\u3002\u6b64\u5916\uff0c**\u6807\u7b7e&#8217;prompt&#8217;**\u7684\u5185\u5bb9\u5e94\u8be5\u6839\u636e\u6bcf\u4e2a\u97f3\u9891\u8fdb\u884c\u4fee\u6539\u3002\u63d0\u793a\u8bcd\u7684\u5185\u5bb9\u53ef\u4ee5\u5305\u62ec\u60c5\u611f\u3001\u8bed\u901f\u4ee5\u53ca\u8bf4\u8bdd\u98ce\u683c\u7b49\u4efb\u4f55\u5f62\u5f0f\u7684\u6587\u672c\u63cf\u8ff0\u3002<\/li>\n<li>\u7136\u540e\uff0c\u4f60\u4f1a\u5f97\u5230\u4e00\u4e2a\u540d\u4e3a\u00a0<code>data directory<\/code>\u00a0\u7684\u76ee\u5f55\uff0c\u5305\u542b\u4e24\u4e2a\u5b50\u76ee\u5f55\uff0c\u5206\u522b\u662f\u00a0<code>train<\/code>\u00a0\u548c\u00a0<code>valid<\/code>\u3002\u6bcf\u4e2a\u5b50\u76ee\u5f55\u90fd\u6709\u4e00\u4e2a<code>datalist.jsonl<\/code>\u00a0\u6587\u4ef6\uff0c\u4e14\u6bcf\u884c\u7684\u683c\u5f0f\u4e3a\uff1a\u00a0<code>{\"key\": \"LJ002-0020\", \"wav_path\": \"data\/LJspeech\/wavs\/LJ002-0020.wav\", \"speaker\": \"LJ\", \"text\": [\"&lt;sos\/eos&gt;\", \"[IH0]\", \"[N]\", \"engsp1\", \"[EY0]\", \"[T]\", \"[IY1]\", \"[N]\", \"engsp1\", \"[TH]\", \"[ER1]\", \"[T]\", \"[IY1]\", \"[N]\", \".\", \"&lt;sos\/eos&gt;\"], \"original_text\": \"In 1813\", \"prompt\": \"common\"}<\/code>\u00a0\u3002<\/li>\n<\/ol>\n<h3>\u5206\u5e03\u8bad\u7ec3\u6b65\u9aa4:<\/h3>\n<p>&nbsp;<\/p>\n<p>\u4e2d\u6587\u8bf7\u53c2\u8003\u00a0<a href=\"https:\/\/github.com\/netease-youdao\/EmotiVoice\/tree\/main\/data\/DataBaker\">DataBaker Recipe<\/a>\uff0c\u82f1\u6587\u8bf7\u53c2\u8003\uff1a<a href=\"https:\/\/github.com\/netease-youdao\/EmotiVoice\/tree\/main\/data\/LJspeech\">LJSpeech Recipe<\/a>\u3002\u4ee5\u4e0b\u662f\u6982\u8981\uff1a<\/p>\n<ol start=\"0\">\n<li>\u51c6\u5907\u8bad\u7ec3\u73af\u5883\u2014\u2014\u53ea\u9700\u8981\u914d\u7f6e\u4e00\u6b21\u3002\n<pre># create conda enviroment\r\nconda create -n EmotiVoice python=3.8 -y\r\nconda activate EmotiVoice\r\n# then run:\r\npip install EmotiVoice[train]\r\n# or\r\ngit clone https:\/\/github.com\/netease-youdao\/EmotiVoice\r\npip install -e .[train]<\/pre>\n<\/li>\n<li>\u53c2\u8003\u00a0<a href=\"https:\/\/github.com\/netease-youdao\/EmotiVoice\/wiki\/Voice-Cloning-with-your-personal-data.zh#Detailed-requirements-for-training-data\">Detailed requirements for training data<\/a>\u00a0\u8fdb\u884c\u6570\u636e\u51c6\u5907\uff0c\u63a8\u8350\u53c2\u8003\u793a\u4f8b<a href=\"https:\/\/github.com\/netease-youdao\/EmotiVoice\/tree\/main\/data\/DataBaker\">DataBaker Recipe<\/a>\u00a0\u548c\u00a0<a href=\"https:\/\/github.com\/netease-youdao\/EmotiVoice\/tree\/main\/data\/LJspeech\">LJSpeech Recipe<\/a>\u4e2d\u7684\u65b9\u6cd5\u548c\u811a\u672c\u3002<\/li>\n<li>\u63a5\u4e0b\u6765\uff0c\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u521b\u5efa\u4e00\u4e2a\u7528\u4e8e\u8bad\u7ec3\u7684\u76ee\u5f55\uff1a<code>python prepare_for_training.py --data_dir &lt;data directory&gt; --exp_dir &lt;experiment directory&gt;<\/code>\u3002\u66ff\u6362\u00a0<code>&lt;data directory&gt;<\/code>\u00a0\u4e3a\u51c6\u5907\u597d\u7684\u6570\u636e\u76ee\u5f55\u7684\u5b9e\u9645\u8def\u5f84\uff0c\u00a0<code>&lt;experiment directory&gt;<\/code>\u00a0\u4e3a\u5b9e\u9a8c\u76ee\u5f55\u7684\u671f\u671b\u8def\u5f84\u3002<\/li>\n<li>\u53ef\u4ee5\u6839\u636e\u670d\u52a1\u5668\u914d\u7f6e\u548c\u6570\u636e\u7684\u60c5\u51b5\u4fee\u6539\u00a0<code>&lt;experiment directory&gt;\/config\/config.py<\/code>\u00a0\u3002\u5b8c\u6210\u4fee\u6539\u540e\uff0c\u901a\u8fc7\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u542f\u52a8\u8bad\u7ec3\u8fc7\u7a0b\u00a0<code>torchrun --nproc_per_node=1 --master_port 8018 train_am_vocoder_joint.py --config_folder &lt;experiment directory&gt;\/config --load_pretrained_model True<\/code>\u3002\u8fd9\u4e2a\u547d\u4ee4\u5c06\u4f7f\u7528\u6307\u5b9a\u7684\u914d\u7f6e\u6587\u4ef6\u5939\u542f\u52a8\u8bad\u7ec3\u8fc7\u7a0b\uff0c\u5e76\u52a0\u8f7d\u4efb\u4f55\u6307\u5b9a\u7684\u9884\u8bad\u7ec3\u6a21\u578b\uff09\u3002\u76ee\u524d\u8be5\u65b9\u6cd5\u9002\u7528\u4e8eLinux\uff0cWindows\u53ef\u80fd\u4f1a\u9047\u5230\u95ee\u9898\uff01<\/li>\n<li>\u5728\u5b8c\u6210\u4e00\u4e9b\u8bad\u7ec3\u6b65\u9aa4\u540e\uff0c\u9009\u62e9\u67d0\u4e2acheckpoint\uff0c\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u786e\u8ba4\u6548\u679c\u662f\u5426\u7b26\u5408\u9884\u671f\uff1a\u00a0<code>python inference_am_vocoder_exp.py --config_folder exp\/DataBaker\/config --checkpoint g_00010000 --test_file data\/inference\/text<\/code>\u3002\u522b\u5fd8\u4e86\u4fee\u6539<code>data\/inference\/text<\/code>\u4e2dspeaker\u5b57\u6bb5\u7684\u5185\u5bb9\u3002\u5982\u679c\u7ed3\u679c\u6ee1\u610f\uff0c\u5c31\u53ef\u4ee5\u968f\u610f\u4f7f\u7528\u4e86\uff01\u6211\u4eec\u63d0\u4f9b\u4e86\u4e00\u4e2a\u4fee\u6539\u7248\u7684demo page:\u00a0<code>demo_page_databaker.py<\/code>\u6765\u4f53\u9a8c\u7528DataBaker\u514b\u9686\u540e\u7684\u97f3\u8272\u6548\u679c\u3002<\/li>\n<li>\u5982\u679c\u7ed3\u679c\u4e0d\u5c3d\u4eba\u610f\uff0c\u53ef\u4ee5\u7ee7\u7eed\u8bad\u7ec3\uff0c\u6216\u8005\u68c0\u67e5\u4f60\u7684\u6570\u636e\u548c\u73af\u5883\u3002\u5f53\u7136\uff0c\u6b22\u8fce\u5728\u793e\u533a\u8ba8\u8bba\uff0c\u6216\u8005\u63d0\u4ea4issue\uff01<\/li>\n<\/ol>\n<h3>\u8fd0\u884c\u65f6\u95f4\u7684\u53c2\u8003\u4fe1\u606f:<\/h3>\n<p>&nbsp;<\/p>\n<p>\u6211\u4eec\u63d0\u4f9b\u5982\u4e0b\u8fd0\u884c\u65f6\u95f4\u4fe1\u606f\u548c\u786c\u4ef6\u914d\u7f6e\u4fe1\u606f\uff0c\u4f9b\u5927\u5bb6\u53c2\u8003\uff1a<\/p>\n<ul>\n<li>Pip\u5305\u7684\u7248\u672c\uff1aPython 3.8.18, torch 1.13.1, cuda 11.7<\/li>\n<li>GPU\u5361\u578b\u53f7\uff1aNVIDIA GeForce RTX 3090, NVIDIA A40<\/li>\n<li>\u8bad\u7ec3\u8017\u65f6\uff1a\u8bad\u7ec3\u4e00\u4e07\u6b65\uff0c\u5927\u6982\u9700\u89811-2\u4e2a\u5c0f\u65f6\u3002<\/li>\n<\/ul>\n<p>\u5b83\u751a\u81f3\u53ef\u4ee5\u4e0d\u7528GPU\u663e\u5361\uff0c\u53ea\u7528CPU\u6765\u8bad\u7ec3\u3002\u8bf7\u9759\u5019\u4f73\u97f3\uff01<\/p>\n<p><div class=\"huoduan_hide_box\" style=\"border:1px dashed #F60; padding:10px; margin:10px 0; line-height:200%; color:#F00; background-color:#FFF4FF; overflow:hidden; clear:both;\"><img loading=\"lazy\" decoding=\"async\" class=\"wxpic\" align=\"right\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/05\/d8668ed8023fbe2.jpg\" style=\"width:150px;height:150px;margin-left:20px;display:inline;border:none\" width=\"150\" height=\"150\"  alt=\"AI\u751f\u4ea7\u529b\u5e94\u7528\" \/><span style=\"font-size:18px;\">\u6b64\u5904\u5185\u5bb9\u5df2\u7ecf\u88ab\u4f5c\u8005\u9690\u85cf\uff0c\u8bf7\u8f93\u5165\u9a8c\u8bc1\u7801\u67e5\u770b\u5185\u5bb9<\/span><form method=\"post\" style=\"margin:10px 0;\"><span class=\"yzts\" style=\"font-size:18px;float:left;\">\u9a8c\u8bc1\u7801\uff1a<\/span><input name=\"huoduan_verifycode\" id=\"verifycode\" type=\"text\" value=\"\" style=\"border:none;float:left;width:80px; height:32px; line-height:30px; padding:0 5px; border:1px solid #FF6600;-moz-border-radius: 0px;  -webkit-border-radius: 0px;  border-radius:0px;\" \/><input id=\"verifybtn\" style=\"border:none;float:left;width:80px; height:32px; line-height:32px; padding:0 5px; background-color:#F60; text-align:center; border:none; cursor:pointer; color:#FFF;-moz-border-radius: 0px; font-size:14px;  -webkit-border-radius: 0px;  border-radius:0px;\" name=\"\" type=\"submit\" value=\"\u63d0\u4ea4\u67e5\u770b\" \/><\/form><div style=\"clear:left;\"><\/div><span style=\"color:#00BF30\">\u8bf7\u5173\u6ce8\u672c\u7ad9\u5fae\u4fe1\u516c\u4f17\u53f7\uff0c\u56de\u590d\u201c<span style=\"color:blue\">\u9a8c\u8bc1\u7801<\/span>\u201d\uff0c\u83b7\u53d6\u9a8c\u8bc1\u7801\u3002\u5728\u5fae\u4fe1\u91cc\u641c\u7d22\u201c<span style=\"color:blue\">AI\u751f\u4ea7\u529b\u5e94\u7528<\/span>\u201d\u6216\u8005\u201c<span style=\"color:blue\">Artificial9527<\/span>\u201d\u6216\u8005\u5fae\u4fe1\u626b\u63cf\u53f3\u4fa7\u4e8c\u7ef4\u7801\u90fd\u53ef\u4ee5\u5173\u6ce8\u672c\u7ad9\u5fae\u4fe1\u516c\u4f17\u53f7\u3002<\/span><div 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