ggwave

Actions Status License: MIT ggwave badge pypi npm

Tiny data-over-sound library.

Click on the images below to hear what it sounds like:

waver-v1.4.0.mp4

talking-buttons-demo-0.mp4 arduino-tx-3-github.mp4

Details

This library allows you to communicate small amounts of data between air-gapped devices using sound. It implements a simple FSK-based transmission protocol that can be easily integrated in various projects. The bandwidth rate is between 8-16 bytes/sec depending on the protocol parameters. Error correction codes (ECC) are used to improve demodulation robustness.

This library is used only to generate and analyze the RAW waveforms that are played and captured from your audio devices (speakers, microphones, etc.). You are free to use any audio backend (e.g. PulseAudio, ALSA, etc.) as long as you provide callbacks for queuing and dequeuing audio samples.

Here is a list of possible applications of ggwave with a few examples:

Try it out

You can easily test the library using the free waver application which is available on the following platforms:

Download on the App Store Get it on Google Play Get it from the Snap Store

Browser demos

HTTP service

audible example

curl -sS ‘https://ggwave-to-file.ggerganov.com/?m=Hello%20world!’ –output hello.wav

ultrasound example

curl -sS ‘https://ggwave-to-file.ggerganov.com/?m=Hello%20world!&p=4’ –output hello.wav

Technical details

Below is a short summary of the modulation and demodulation algorithm used in ggwave for encoding and decoding data into sound.

Modulation (Tx)

The current approach uses a multi-frequency Frequency-Shift Keying (FSK) modulation scheme. The data to be transmitted is first split into 4-bit chunks. At each moment of time, 3 bytes are transmitted using 6 tones - one tone for each 4-bit chunk. The 6 tones are emitted in a 4.5kHz range divided in 96 equally-spaced frequencies:

Freq, [Hz]

Value, [bits]

Freq, [Hz]

Value, [bits]

Freq, [Hz]

Value, [bits]

F0 + 00*dF

Chunk 0: 0000

F0 + 16*dF

Chunk 1: 0000

F0 + 80*dF

Chunk 5: 0000

F0 + 01*dF

Chunk 0: 0001

F0 + 17*dF

Chunk 1: 0001

F0 + 81*dF

Chunk 5: 0001

F0 + 02*dF

Chunk 0: 0010

F0 + 18*dF

Chunk 1: 0010

F0 + 82*dF

Chunk 5: 0010

F0 + 14*dF

Chunk 0: 1110

F0 + 30*dF

Chunk 1: 1110

F0 + 94*dF

Chunk 5: 1110

F0 + 15*dF

Chunk 0: 1111

F0 + 31*dF

Chunk 1: 1111

F0 + 95*dF

Chunk 5: 1111

For all protocols: dF = 46.875 Hz. For non-ultrasonic protocols: F0 = 1875.000 Hz. For ultrasonic protocols: F0 = 15000.000 Hz.

The original data is encoded using Reed-Solomon error codes. The number of ECC bytes is determined based on the length of the original data. The encoded data is the one being transmitted.

Demodulation (Rx)

Beginning and ending of the transmission are marked with special sound markers (#13). The receiver listens for these markers and records the in-between sound data. The recorded data is then Fourier transformed to obtain a frequency spectrum. The detected frequencies are decoded back to binary data in the same way they were encoded.

Reed-Solomon decoding is finally performed to obtain the original data.

Examples

The examples folder contains several sample applications of the library:

Example

Description

Audio

ggtag

Sound-programmable e-paper badge

PDM mic

ggwave-rx

Very basic receive-only program

SDL

ggwave-cli

Command line tool for sending/receiving data through sound

SDL

ggwave-wasm

WebAssembly module for web applications

SDL

ggwave-to-file

Output a generated waveform to an uncompressed WAV file

-

ggwave-from-file

Decode a waveform from an uncompressed WAV file

-

waver

GUI application for sending/receiving data through sound

SDL

ggwave-py

Python examples

PortAudio

ggwave-js

Javascript example

Web Audio API

spectrogram

Spectrogram tool

SDL

ggweb-spike

Android example using a WebView to wrap ggwave into a simple app

WebAudio

buttons

Record and send commands via Talking buttons

Web Audio API

r2t2

Transmit data through the PC speaker

PC speaker

ggwave-objc

Minimal Objective-C iOS app using ggwave

AudioToolbox

ggwave-java

Minimal Java Android app using ggwave

android.media

ggwave-fm

Transmit ggwave messages with HackRF

Radio

esp32-rx

Transmit and receive messages using ESP32

-

rp2040-rx

Transmit and receive messages using Raspberry Pi Pico (RP2040)

-

arduino-rx

Transmit and receive messages using Arduino RP2040

-

arduino-tx

Transmit messages using Arduino Uno

-

arduino-rx-web

Receive messages from Arduino Uno

Web Audio API

Other projects using ggwave or one of its prototypes:

  • wave-gui - a GUI for exploring different modulation protocols
  • wave-share - WebRTC file sharing with sound signaling

Building

Dependencies for SDL-based examples

[Ubuntu]
$ sudo apt install libsdl2-dev

[Mac OS with brew]
$ brew install sdl2

[MSYS2]
$ pacman -S git cmake make mingw-w64-x86_64-dlfcn mingw-w64-x86_64-gcc mingw-w64-x86_64-SDL2

Linux, Mac, Windows (MSYS2)

build

git clone https://github.com/ggerganov/ggwave –recursive cd ggwave && mkdir build && cd build cmake .. make

running

./bin/ggwave-cli

Emscripten

git clone https://github.com/ggerganov/ggwave –recursive cd ggwave mkdir build && cd build emcmake cmake .. make

Python

More info: https://pypi.org/project/ggwave/

Node.js

More info: https://www.npmjs.com/package/ggwave

iOS

Available as a Swift Package: https://github.com/ggerganov/ggwave-spm

Installing the Waver application

Get it from the Snap Store

Linux

sudo snap install waver sudo snap connect waver:audio-record :audio-record

Mac OS

brew install ggerganov/ggerganov/waver