sonus

Open source cross platform decentralized always-on speech recognition framework

Source

npm

Version: 0.1.9-4

Version published: 9 years ago

Weekly downloads: 37

Maintainers: 1

Weekly downloads

Created: 10 years ago

Source

sonus

This project is in active development and is rapidly evolving. As of v0.1.0 it uses semantic versioning.

Sonus is a speech to text library you can use to quickly and easally add a VUI (Voice User Interface) to any hardware or software project. Just like Alexa, Google Now, 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.

Platform Support

Linux - most major distros (Including Raspbian)
macOS
Windows

Streaming Recognition Services

Installation

npm install --save sonus

Dependencies

Generally, running npm install should suffice. This module however, requires you to install SoX.

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.

Add sonus and said recognizer:

const Sonus = require('sonus')
const speech = require('@google-cloud/speech')({
  projectId: 'streaming-speech-sample',
  keyFilename: './keyfile.json'
})

Add your keyword and initialize Sonus with a Snowboy hotword:

const hotwords = [{ file: 'resources/snowboy.umdl', hotword: 'snowboy' }]
const sonus = Sonus.init({ hotwords }, speech)

Create your own Alexa in less than a tweet:

Sonus.start(sonus)
sonus.on('hotword', (index, keyword) => console.log("!"))
sonus.on('final-result', console.log)

How do I set up Google Cloud Speech API?

Follow these instructions.

How do I make my own hotword?

Sonus uses Snowboy for offline hotword recognition. You can use their website or API to train a model for a new hotword. Hotword training must occur online through their web service.