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* Init gem * WIP * WIP * WIP: Gemify * WIP * Try ffi_gen * Revert "Try ffi_gen" This reverts commit a54e56b35a1bdc079dbe122aff47d79038d4e52f. * Vibecode 1 * Vibecode 2 * rework progressbar * Some ref + test_captcha * Return deleted by Claude * Draft precompiled packaging * Review and refactor C bindings * ref OwnedString * Rename methods and add notes * rubocop * Fix progressbar, add examples * Ref spec * Ref spec - final * Final ver * Add srt, other fixes * Move to ruby dir --------- Co-authored-by: Nickolay V. Shmyrev <nshmyrev@gmail.com>
Vosk Speech Recognition Toolkit
Vosk is an offline open source speech recognition toolkit. It enables speech recognition for 20+ languages and dialects - English, Indian English, German, French, Spanish, Portuguese, Chinese, Russian, Turkish, Vietnamese, Italian, Dutch, Catalan, Arabic, Greek, Farsi, Filipino, Ukrainian, Kazakh, Swedish, Japanese, Esperanto, Hindi, Czech, Polish. More to come.
Vosk models are small (50 Mb) but provide continuous large vocabulary transcription, zero-latency response with streaming API, reconfigurable vocabulary and speaker identification.
Speech recognition bindings implemented for various programming languages like Python, Java, Node.JS, C#, C++, Rust, Go and others.
Vosk supplies speech recognition for chatbots, smart home appliances, virtual assistants. It can also create subtitles for movies, transcription for lectures and interviews.
Vosk scales from small devices like Raspberry Pi or Android smartphone to big clusters.
Documentation
For installation instructions, examples and documentation visit Vosk Website.