[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-72009":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":25,"hasPages":23,"topics":26,"createdAt":10,"pushedAt":10,"updatedAt":36,"readmeContent":37,"aiSummary":38,"trendingCount":16,"starSnapshotCount":16,"syncStatus":39,"lastSyncTime":40,"discoverSource":41},72009,"MeloTTS","myshell-ai\u002FMeloTTS","myshell-ai","High-quality multi-lingual text-to-speech library by MyShell.ai. Support English, Spanish, French, Chinese, Japanese and Korean.","",null,"Python",7476,1047,49,211,0,8,22,62,24,40.06,"MIT License",false,"main",true,[27,28,29,30,31,32,33,34,35],"chinese","english","french","japanese","korean","multilingual","spanish","text-to-speech","tts","2026-06-12 02:02:57","\u003Cdiv align=\"center\">\n  \u003Cdiv> \u003C\u002Fdiv>\n  \u003Cimg src=\"logo.png\" width=\"300\"\u002F> \u003Cbr>\n  \u003Ca href=\"https:\u002F\u002Ftrendshift.io\u002Frepositories\u002F8133\" target=\"_blank\">\u003Cimg src=\"https:\u002F\u002Ftrendshift.io\u002Fapi\u002Fbadge\u002Frepositories\u002F8133\" alt=\"myshell-ai%2FMeloTTS | Trendshift\" style=\"width: 250px; height: 55px;\" width=\"250\" height=\"55\"\u002F>\u003C\u002Fa>\n\u003C\u002Fdiv>\n\n## Introduction\nMeloTTS is a **high-quality multi-lingual** text-to-speech library by [MIT](https:\u002F\u002Fwww.mit.edu\u002F) and [MyShell.ai](https:\u002F\u002Fmyshell.ai). Supported languages include:\n\n| Language | Example |\n| --- | --- |\n| English (American)    | [Link](https:\u002F\u002Fmyshell-public-repo-host.s3.amazonaws.com\u002Fmyshellttsbase\u002Fexamples\u002Fen\u002FEN-US\u002Fspeed_1.0\u002Fsent_000.wav) |\n| English (British)     | [Link](https:\u002F\u002Fmyshell-public-repo-host.s3.amazonaws.com\u002Fmyshellttsbase\u002Fexamples\u002Fen\u002FEN-BR\u002Fspeed_1.0\u002Fsent_000.wav) |\n| English (Indian)      | [Link](https:\u002F\u002Fmyshell-public-repo-host.s3.amazonaws.com\u002Fmyshellttsbase\u002Fexamples\u002Fen\u002FEN_INDIA\u002Fspeed_1.0\u002Fsent_000.wav) |\n| English (Australian)  | [Link](https:\u002F\u002Fmyshell-public-repo-host.s3.amazonaws.com\u002Fmyshellttsbase\u002Fexamples\u002Fen\u002FEN-AU\u002Fspeed_1.0\u002Fsent_000.wav) |\n| English (Default)     | [Link](https:\u002F\u002Fmyshell-public-repo-host.s3.amazonaws.com\u002Fmyshellttsbase\u002Fexamples\u002Fen\u002FEN-Default\u002Fspeed_1.0\u002Fsent_000.wav) |\n| Spanish               | [Link](https:\u002F\u002Fmyshell-public-repo-host.s3.amazonaws.com\u002Fmyshellttsbase\u002Fexamples\u002Fes\u002FES\u002Fspeed_1.0\u002Fsent_000.wav) |\n| French                | [Link](https:\u002F\u002Fmyshell-public-repo-host.s3.amazonaws.com\u002Fmyshellttsbase\u002Fexamples\u002Ffr\u002FFR\u002Fspeed_1.0\u002Fsent_000.wav) |\n| Chinese (mix EN)      | [Link](https:\u002F\u002Fmyshell-public-repo-host.s3.amazonaws.com\u002Fmyshellttsbase\u002Fexamples\u002Fzh\u002FZH\u002Fspeed_1.0\u002Fsent_008.wav) |\n| Japanese              | [Link](https:\u002F\u002Fmyshell-public-repo-host.s3.amazonaws.com\u002Fmyshellttsbase\u002Fexamples\u002Fjp\u002FJP\u002Fspeed_1.0\u002Fsent_000.wav) |\n| Korean                | [Link](https:\u002F\u002Fmyshell-public-repo-host.s3.amazonaws.com\u002Fmyshellttsbase\u002Fexamples\u002Fkr\u002FKR\u002Fspeed_1.0\u002Fsent_000.wav) |\n\nSome other features include:\n- The Chinese speaker supports `mixed Chinese and English`.\n- Fast enough for `CPU real-time inference`.\n\n## Usage\n- [Use without Installation](docs\u002Fquick_use.md)\n- [Install and Use Locally](docs\u002Finstall.md)\n- [Training on Custom Dataset](docs\u002Ftraining.md)\n\nThe Python API and model cards can be found in [this repo](https:\u002F\u002Fgithub.com\u002Fmyshell-ai\u002FMeloTTS\u002Fblob\u002Fmain\u002Fdocs\u002Finstall.md#python-api) or on [HuggingFace](https:\u002F\u002Fhuggingface.co\u002Fmyshell-ai).\n\n**Contributing**\n\nIf you find this work useful, please consider contributing to this repo.\n\n- Many thanks to [@fakerybakery](https:\u002F\u002Fgithub.com\u002Ffakerybakery) for adding the Web UI and CLI part.\n\n## Authors\n\n- [Wenliang Zhao](https:\u002F\u002Fwl-zhao.github.io) at Tsinghua University\n- [Xumin Yu](https:\u002F\u002Fyuxumin.github.io) at Tsinghua University\n- [Zengyi Qin](https:\u002F\u002Fwww.qinzy.tech) (project lead) at MIT and MyShell\n\n**Citation**\n```\n@software{zhao2024melo,\n  author={Zhao, Wenliang and Yu, Xumin and Qin, Zengyi},\n  title = {MeloTTS: High-quality Multi-lingual Multi-accent Text-to-Speech},\n  url = {https:\u002F\u002Fgithub.com\u002Fmyshell-ai\u002FMeloTTS},\n  year = {2023}\n}\n```\n\n## License\n\nThis library is under MIT License, which means it is free for both commercial and non-commercial use.\n\n## Acknowledgements\n\nThis implementation is based on [TTS](https:\u002F\u002Fgithub.com\u002Fcoqui-ai\u002FTTS), [VITS](https:\u002F\u002Fgithub.com\u002Fjaywalnut310\u002Fvits), [VITS2](https:\u002F\u002Fgithub.com\u002Fdaniilrobnikov\u002Fvits2) and [Bert-VITS2](https:\u002F\u002Fgithub.com\u002Ffishaudio\u002FBert-VITS2). We appreciate their awesome work.\n","MeloTTS 是一个由 MyShell.ai 开发的高质量多语言文本转语音库，支持英语、西班牙语、法语、中文、日语和韩语等多种语言。其核心功能包括多种方言和口音的选择，以及对中英文混合文本的支持，并且在CPU上也能实现实时推理。适用于需要多语言语音合成的应用场景，如国际化软件开发、在线教育平台或任何需要将文本转换为自然流畅语音的服务。",2,"2026-06-11 03:39:56","high_star"]