sonus
Version:
Open source cross platform decentralized always-on speech recognition framework
108 lines (79 loc) • 3.71 kB
Markdown
<p align="center">
<img src="./sonus.png" alt="sonus" />
</p>
<p align="center">
<a href="https://travis-ci.org/evancohen/sonus"><img src="https://api.travis-ci.org/evancohen/sonus.svg?branch=master" alt="Build Status"/></a>
<a href="https://codeclimate.com/github/evancohen/sonus"><img src="https://codeclimate.com/github/evancohen/sonus/badges/gpa.svg" /></a>
<a href='https://dependencyci.com/github/evancohen/sonus'><img src='https://dependencyci.com/github/evancohen/sonus/badge' alt='Dependency Status'/></a>
</p>
<p align="center">
<strong>A dead simple STT library in Node</strong>
</p>
Sonus lets you quickly and easily add a VUI (Voice User Interface) to any hardware or software project. Just like Alexa, Google Assistant, and Siri, Sonus is always listening offline for a *customizable* hotword. Once that hotword is detected your speech is streamed to the cloud recognition service of your choice - then you get the results in realtime.
### Platform Support
- [X] Linux - most major distros (Including Raspbian)
- [X] macOS
- [ ] Windows
### Streaming Recognition Services
- [X] Google Cloud Speech
- [ ] Alexa Voice Services
- [ ] Wit.ai
- [ ] Microsoft Cognitive Services
- [ ] Houndify
## Installation
```
npm install --save sonus
```
## Dependencies
Generally, running `npm install` should suffice. This module however, requires you to install [SoX](http://sox.sourceforge.net).
### For most linux disto's
Recommended: use `arecord`, which comes with most linux distros.
Alternatively:
```
sudo apt-get install sox libsox-fmt-all
```
### For macOS
```
brew install sox
```
## Usage
Configure out cloud speech recognition system of choice, like [Google Cloud
Speech API](https://cloud.google.com/speech/docs/getting-started).
__Note:__ You need to use the `GOOGLE_APPLICATION_CREDENTIALS` environment variable for your JSON keyfile, or check the examples to see how you can pass in the keyflie path.
Add sonus and said recognizer:
``` javascript
const Sonus = require('sonus')
const speech = require('@google-cloud/speech')
const client = new speech.SpeechClient()
```
Add your keyword and initialize Sonus with a [Snowboy](https://snowboy.kitt.ai)
hotword:
``` javascript
const hotwords = [{ file: 'resources/snowboy.umdl', hotword: 'snowboy' }]
const sonus = Sonus.init({ hotwords }, client)
```
Create your own Alexa in less than a tweet:
``` javascript
Sonus.start(sonus)
sonus.on('hotword', (index, keyword) => console.log("!"))
sonus.on('final-result', console.log)
```
### [Full API Documentation](docs/API.md)
## Versioning
This project uses semantic versioning as of `v0.1.0`
## How do I set up Google Cloud Speech API?
Follow [these instructions](https://cloud.google.com/speech/docs/getting-started).
## How do I make my own hotword?
Sonus uses [Snowboy](https://snowboy.kitt.ai) for offline hotword recognition.
You can use [their website](https://snowboy.kitt.ai) or
[API](http://docs.kitt.ai/snowboy/#restful-api) to train a model for a new
hotword. Hotword training must occur online through their web service.
## Built [#withsonus](https://twitter.com/hashtag/withsonus?src=github)
- [L.I.S.A. - Home automation project](https://github.com/mylisabox/lisa-box)
- [ioBroker - Home automation project](https://github.com/ioBroker/ioBroker.sonus)
*If you've build a project with Sonus send a PR and include it here!*
## Authors
Evan Cohen: [@_evnc](https://twitter.com/_evnc)
Ashish Chandwani: [@ashishschandwa1](https://twitter.com/ashishschandwa1)
## License
Licensed under [MIT](https://github.com/evancohen/sonus/blob/master/LICENSE).