base on 腾讯会议摸鱼工具 # TMSpeech (旧版)视频演示：https://www.bilibili.com/video/BV1rX4y1p7Nx/ 关键词：语音转文字，实时字幕，会议语音识别，歌词字幕展示，识别历史记录查看 `TMSpeech` 是一个Windows下的中文实时语音字幕，通过WASAPI的CaptureLoopback捕获电脑声音（录内音），将语音实时转文字，并以歌词字幕的形式展示。即使完全关闭电脑声音也能使用。 你可以： - 开会时更放心地走神，突然被喊到的时候不会那么不知所措，只需要看一看识别的历史记录。（本项目的名字来源于此） - 会议实时转录，自动生成会议纪要，并保存到文件。默认会将识别结果按日期保存到“我的文档”的`TMSpeechLogs`文件夹中 基于[sherpa-onnx](https://github.com/k2-fsa/sherpa-onnx/)项目二次开发。实测在我的AMD 5800u的笔记本上CPU占用不到5%。 再次感谢[sherpa-onnx](https://github.com/k2-fsa/sherpa-onnx/)项目的语音识别框架和模型。 ## 展示 无边框窗口，可任意拖动和调整大小  历史记录页面（双击可复制）：  设置页面：  ## 使用 在[Release](https://github.com/jxlpzqc/TMSpeech/releases)页面中下载最新的release解压，运行`TMSpeech.GUI.exe`即可。在桌面创建快捷方式，使用起来更加方便。 ## 我们需要你的反馈 觉得很有用？但是还有不完美的地方？欢迎点击这里[创建Discussion](https://github.com/jxlpzqc/TMSpeech/discussions/new)、提出反馈！ - 识别准确率不高？ - 这可能需要更好的模型。当前我们支持sherpa-onnx的流式模型，可以在[这里](https://k2-fsa.github.io/sherpa/onnx/pretrained_models/online-transducer/zipformer-transducer-models.html)下载其他模型，并在设置中修改模型路径。 - [想要用自己的模型？](https://github.com/jxlpzqc/TMSpeech/issues/6) 如果你发现了效果更好的开源模型，也欢迎推荐给我们！ - 还需要更多功能？ - 请点击这里[创建issue](https://github.com/jxlpzqc/TMSpeech/issues/new)告诉我们！ - 如果你懂Windows/C#开发，欢迎提交pull request，开发的过程中遇到任何问题可以创建issue和我们讨论。 ## 带模型的Release打包流程 - 在github actions中下载构建好的安装包 - 将模型文件夹复制到publish的文件夹内，重命名为models，打包为zip文件。 - 在开发电脑，和另外一台电脑上测试各种功能。 ", Assign "at most 3 tags" to the expected json: {"id":"13182","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"