[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-9570":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":16,"stars7d":17,"stars30d":18,"stars90d":16,"forks30d":16,"starsTrendScore":17,"compositeScore":19,"rankGlobal":10,"rankLanguage":10,"license":20,"archived":21,"fork":22,"defaultBranch":23,"hasWiki":21,"hasPages":22,"topics":24,"createdAt":10,"pushedAt":10,"updatedAt":35,"readmeContent":36,"aiSummary":37,"trendingCount":16,"starSnapshotCount":16,"syncStatus":17,"lastSyncTime":38,"discoverSource":39},9570,"DeepSpeech","mozilla\u002FDeepSpeech","mozilla","DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.","",null,"C++",26749,4088,6,126,0,2,10,72,"Mozilla Public License 2.0",true,false,"master",[25,26,27,28,29,30,31,32,33,34],"deep-learning","deepspeech","embedded","machine-learning","neural-networks","offline","on-device","speech-recognition","speech-to-text","tensorflow","2026-06-12 04:00:45","Status\n======\n\nThis project is now discontinued.\n\nProject DeepSpeech\n==================\n\n.. image:: https:\u002F\u002Freadthedocs.org\u002Fprojects\u002Fdeepspeech\u002Fbadge\u002F?version=latest\n   :target: https:\u002F\u002Fdeepspeech.readthedocs.io\u002F?badge=latest\n   :alt: Documentation\n\n\n.. image:: https:\u002F\u002Fgithub.com\u002Fmozilla\u002FDeepSpeech\u002Factions\u002Fworkflows\u002FmacOS-amd64.yml\u002Fbadge.svg\n   :target: https:\u002F\u002Fgithub.com\u002Fmozilla\u002FDeepSpeech\u002Factions\u002Fworkflows\u002FmacOS-amd64.yml\n   :alt: macOS builds\n\n.. image:: https:\u002F\u002Fgithub.com\u002Fmozilla\u002FDeepSpeech\u002Factions\u002Fworkflows\u002Flint.yml\u002Fbadge.svg\n   :target: https:\u002F\u002Fgithub.com\u002Fmozilla\u002FDeepSpeech\u002Factions\u002Fworkflows\u002Flint.yml\n   :alt: Linters\n\n.. image:: https:\u002F\u002Fgithub.com\u002Fmozilla\u002FDeepSpeech\u002Factions\u002Fworkflows\u002Fdocker.yml\u002Fbadge.svg\n   :target: https:\u002F\u002Fgithub.com\u002Fmozilla\u002FDeepSpeech\u002Factions\u002Fworkflows\u002Fdocker.yml\n   :alt: Docker Images\n\n\nDeepSpeech is an open-source Speech-To-Text engine, using a model trained by machine learning techniques based on `Baidu's Deep Speech research paper \u003Chttps:\u002F\u002Farxiv.org\u002Fabs\u002F1412.5567>`_. Project DeepSpeech uses Google's `TensorFlow \u003Chttps:\u002F\u002Fwww.tensorflow.org\u002F>`_ to make the implementation easier.\n\nDocumentation for installation, usage, and training models are available on `deepspeech.readthedocs.io \u003Chttps:\u002F\u002Fdeepspeech.readthedocs.io\u002F?badge=latest>`_.\n\nFor the latest release, including pre-trained models and checkpoints, `see the latest release on GitHub \u003Chttps:\u002F\u002Fgithub.com\u002Fmozilla\u002FDeepSpeech\u002Freleases\u002Flatest>`_.\n\nFor contribution guidelines, see `CONTRIBUTING.rst \u003CCONTRIBUTING.rst>`_.\n\nFor contact and support information, see `SUPPORT.rst \u003CSUPPORT.rst>`_.\n","DeepSpeech 是一个开源的嵌入式语音转文字引擎，能够在从树莓派4到高性能GPU服务器的各种设备上实时运行。该项目基于百度的深度语音研究论文，使用TensorFlow框架来简化实现过程，支持离线和设备端处理，不依赖于网络连接。其核心功能包括高效的语音识别能力、支持多种硬件平台以及提供预训练模型以方便用户快速部署。DeepSpeech适用于需要在无互联网环境下进行语音识别的应用场景，如智能家居、车载系统等。尽管项目已停止更新，但其现有版本依然为开发者提供了强大的工具和技术参考。","2026-06-11 03:23:29","top_topic"]