[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-9681":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":46,"readmeContent":47,"aiSummary":48,"trendingCount":16,"starSnapshotCount":16,"syncStatus":49,"lastSyncTime":50,"discoverSource":51},9681,"vosk-api","alphacep\u002Fvosk-api","alphacep","Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node","",null,"Jupyter Notebook",14843,1727,142,546,0,5,30,162,26,104.71,"Apache License 2.0",false,"master",[26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45],"android","asr","deep-learning","deep-neural-networks","deepspeech","google-speech-to-text","ios","kaldi","offline","privacy","python","raspberry-pi","speaker-identification","speaker-verification","speech-recognition","speech-to-text","speech-to-text-android","stt","voice-recognition","vosk","2026-06-12 04:00:46","# Vosk Speech Recognition Toolkit\n\nVosk is an offline open source speech recognition toolkit. It enables\nspeech recognition for 20+ languages and dialects - English, Indian\nEnglish, German, French, Spanish, Portuguese, Chinese, Russian, Turkish,\nVietnamese, Italian, Dutch, Catalan, Arabic, Greek, Farsi, Filipino,\nUkrainian, Kazakh, Swedish, Japanese, Esperanto, Hindi, Czech, Polish.\nMore to come.\n\nVosk models are small (50 Mb) but provide continuous large vocabulary\ntranscription, zero-latency response with streaming API, reconfigurable\nvocabulary and speaker identification.\n\nSpeech recognition bindings implemented for various programming languages\nlike Python, Java, Node.JS, C#, C++, Rust, Go and others.\n\nVosk supplies speech recognition for chatbots, smart home appliances,\nvirtual assistants. It can also create subtitles for movies,\ntranscription for lectures and interviews.\n\nVosk scales from small devices like Raspberry Pi or Android smartphone to\nbig clusters.\n\n# Documentation\n\nFor installation instructions, examples and documentation visit [Vosk\nWebsite](https:\u002F\u002Falphacephei.com\u002Fvosk).\n","Vosk是一个离线开源的语音识别工具包，支持超过20种语言和方言。其核心功能包括连续大词汇量转录、零延迟响应的流式API、可配置词汇表以及说话人识别。Vosk模型体积小巧（约50MB），适用于多种编程语言环境如Python、Java、Node.JS等。该工具包特别适合需要保护隐私的应用场景，例如聊天机器人、智能家居设备、虚拟助手等，同时也能用于电影字幕生成、讲座与采访的文字转录工作。从树莓派到大型服务器集群，Vosk都能良好运行。",2,"2026-06-11 03:24:11","top_topic"]