open-index/open-npm huggingface dataset:
npm package: @sharcoux/vosk
Description: Node binding for continuous offline voice recoginition with Vosk library.
Author: Alpha Cephei Inc.
Latest version: 0.3.24

This is an FFI-NAPI wrapper for the Vosk library.

## Usage

It mostly follows Vosk interface, some methods are not yet fully implemented.

To use it you need to compile libvosk library, see Python module build
instructions for details. You can find prebuilt library inside python
wheel.

## About

Vosk is an offline open source speech recognition toolkit. It enables
speech recognition models for 17 languages and dialects - English, Indian
English, German, French, Spanish, Portuguese, Chinese, Russian, Turkish,
Vietnamese, Italian, Dutch, Catalan, Arabic, Greek, Farsi, Filipino.

Vosk models are small (50 Mb) but provide continuous large vocabulary
transcription, zero-latency response with streaming API, reconfigurable
vocabulary and speaker identification.

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](https://alphacephei.com/vosk). See also our project on
[Github](https://github.com/alphacep/vosk-api).
npm package: @sharcoux/vosk-api
Description: Node binding for continuous offline voice recoginition with Vosk library.
Author: Alpha Cephei Inc.
Latest version: 0.3.23

This is an FFI-NAPI wrapper for the Vosk library.

## Usage

It mostly follows Vosk interface, some methods are not yet fully implemented.

To use it you need to compile libvosk library, see Python module build
instructions for details. You can find prebuilt library inside python
wheel.

## About

Vosk is an offline open source speech recognition toolkit. It enables
speech recognition models for 17 languages and dialects - English, Indian
English, German, French, Spanish, Portuguese, Chinese, Russian, Turkish,
Vietnamese, Italian, Dutch, Catalan, Arabic, Greek, Farsi, Filipino.

Vosk models are small (50 Mb) but provide continuous large vocabulary
transcription, zero-latency response with streaming API, reconfigurable
vocabulary and speaker identification.

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](https://alphacephei.com/vosk). See also our project on
[Github](https://github.com/alphacep/vosk-api).