[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-71025":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":17,"stars7d":18,"stars30d":19,"stars90d":16,"forks30d":16,"starsTrendScore":20,"compositeScore":21,"rankGlobal":10,"rankLanguage":10,"license":22,"archived":23,"fork":23,"defaultBranch":24,"hasWiki":23,"hasPages":23,"topics":25,"createdAt":10,"pushedAt":10,"updatedAt":37,"readmeContent":38,"aiSummary":39,"trendingCount":16,"starSnapshotCount":16,"syncStatus":40,"lastSyncTime":41,"discoverSource":42},71025,"Bert-VITS2","fishaudio\u002FBert-VITS2","fishaudio","vits2 backbone with multilingual-bert","",null,"Python",8758,1288,48,1,0,3,10,16,9,77.93,"GNU Affero General Public License v3.0",false,"master",[26,27,28,29,30,31,32,33,34,35,36],"agent","bert","bert-vits","bert-vits2","fish","fish-speech","llm","tts","vits","vits2","vocoder","2026-06-12 04:00:58","\u003Cdiv align=\"center\">\n\n\u003Cimg alt=\"LOGO\" src=\"https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F122017386\" width=\"256\" height=\"256\" \u002F>\n\n# Bert-VITS2\n\nVITS2 Backbone with multilingual bert\n\nFor quick guide, please refer to `webui_preprocess.py`.\n\n简易教程请参见 `webui_preprocess.py`。\n\n## 【项目推介】\n# FishAudio下的全新自回归TTS [Fish-Speech](https:\u002F\u002Fgithub.com\u002Ffishaudio\u002Ffish-speech)现已可用，效果为目前开源SOTA水准，且在持续维护，推荐使用该项目作为BV2\u002FGSV的替代。本项目短期内不再进行维护。\n## Demo Video: https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV18E421371Q\n## Tech slides Video: https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1zJ4m1K7cj\n## 请注意，本项目核心思路来源于[anyvoiceai\u002FMassTTS](https:\u002F\u002Fgithub.com\u002Fanyvoiceai\u002FMassTTS) 一个非常好的tts项目\n## MassTTS的演示demo为[ai版峰哥锐评峰哥本人,并找回了在金三角失落的腰子](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1w24y1c7z9)\n\n[\u002F\u002F]: # (## 本项目与[PlayVoice\u002Fvits_chinese]&#40;https:\u002F\u002Fgithub.com\u002FPlayVoice\u002Fvits_chinese&#41; 没有任何关系)\n\n[\u002F\u002F]: # ()\n[\u002F\u002F]: # (本仓库来源于之前朋友分享了ai峰哥的视频，本人被其中的效果惊艳，在自己尝试MassTTS以后发现fs在音质方面与vits有一定差距，并且training的pipeline比vits更复杂，因此按照其思路将bert)\n\n## 成熟的旅行者\u002F开拓者\u002F舰长\u002F博士\u002Fsensei\u002F猎魔人\u002F喵喵露\u002FV应当参阅代码自己学习如何训练。\n\n### 严禁将此项目用于一切违反《中华人民共和国宪法》，《中华人民共和国刑法》，《中华人民共和国治安管理处罚法》和《中华人民共和国民法典》之用途。\n### 严禁用于任何政治相关用途。\n#### Video:https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1hp4y1K78E\n#### Demo:https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1TF411k78w\n## References\n+ [anyvoiceai\u002FMassTTS](https:\u002F\u002Fgithub.com\u002Fanyvoiceai\u002FMassTTS)\n+ [jaywalnut310\u002Fvits](https:\u002F\u002Fgithub.com\u002Fjaywalnut310\u002Fvits)\n+ [p0p4k\u002Fvits2_pytorch](https:\u002F\u002Fgithub.com\u002Fp0p4k\u002Fvits2_pytorch)\n+ [svc-develop-team\u002Fso-vits-svc](https:\u002F\u002Fgithub.com\u002Fsvc-develop-team\u002Fso-vits-svc)\n+ [PaddlePaddle\u002FPaddleSpeech](https:\u002F\u002Fgithub.com\u002FPaddlePaddle\u002FPaddleSpeech)\n+ [emotional-vits](https:\u002F\u002Fgithub.com\u002Finnnky\u002Femotional-vits)\n+ [fish-speech](https:\u002F\u002Fgithub.com\u002Ffishaudio\u002Ffish-speech)\n+ [Bert-VITS2-UI](https:\u002F\u002Fgithub.com\u002Fjiangyuxiaoxiao\u002FBert-VITS2-UI)\n## 感谢所有贡献者作出的努力\n\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Ffishaudio\u002FBert-VITS2\u002Fgraphs\u002Fcontributors\" target=\"_blank\">\n  \u003Cimg src=\"https:\u002F\u002Fcontrib.rocks\u002Fimage?repo=fishaudio\u002FBert-VITS2\"\u002F>\n\u003C\u002Fa>\n\n[\u002F\u002F]: # (# 本项目所有代码引用均已写明，bert部分代码思路来源于[AI峰哥]&#40;https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1w24y1c7z9&#41;，与[vits_chinese]&#40;https:\u002F\u002Fgithub.com\u002FPlayVoice\u002Fvits_chinese&#41;无任何关系。欢迎各位查阅代码。同时，我们也对该开发者的[碰瓷，乃至开盒开发者的行为]&#40;https:\u002F\u002Fwww.bilibili.com\u002Fread\u002Fcv27101514\u002F&#41;表示强烈谴责。)\n","Bert-VITS2 是一个基于 VITS2 架构并结合多语言 BERT 的文本转语音（TTS）系统。该项目通过引入 BERT 模型增强了对多语言文本的理解能力，从而提升了合成语音的自然度和表现力。它采用了自回归生成机制，并且支持多种语言的高质量语音合成。适合于需要跨语言高质量语音合成的应用场景，如多语言虚拟助手、在线教育平台或多媒体内容创作等。项目提供了简易教程和演示视频，方便用户快速上手。请注意，官方推荐使用 Fish-Speech 作为本项目的替代方案，因为其效果更优且持续维护中。",2,"2026-06-11 03:35:31","high_star"]