Offline open source speech recognition API based on Kaldi and Vosk


Keywords
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
License
Apache-2.0
Install
pip install vosk==0.3.45

Documentation

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.