Skip to main content

Tiny data-over-sound library.

Project description

Tiny data-over-sound library.

# generate audio waveform for string "hello python"
waveform = ggwave.encode("hello python")

# decode audio waveform
text = ggwave.decode(instance, waveform)

Features

  • Audible and ultrasound transmissions available

  • Bandwidth of 8-16 bytes/s (depending on the transmission protocol)

  • Robust FSK modulation

  • Reed-Solomon based error correction

Installation

pip install ggwave

API

encode()

encode(payload, [protocolId], [volume], [instance])

Encodes payload into an audio waveform.

Output of help(ggwave.encode):

built-in function encode in module ggwave

encode(...)
    Encode payload into an audio waveform.
    @param {string} payload, the data to be encoded
    @return Generated audio waveform bytes representing 16-bit signed integer samples.

decode()

decode(instance, waveform)

Analyzes and decodes waveform into to try and obtain the original payload. A preallocated ggwave instance is required.

Output of help(ggwave.decode):

built-in function decode in module ggwave

decode(...)
    Analyze and decode audio waveform to obtain original payload
    @param {bytes} waveform, the audio waveform to decode
    @return The decoded payload if successful.

Usage

  • Encode and transmit data with sound:

import ggwave
import pyaudio

p = pyaudio.PyAudio()

# generate audio waveform for string "hello python"
waveform = ggwave.encode("hello python", protocolId = 1, volume = 20)

print("Transmitting text 'hello python' ...")
stream = p.open(format=pyaudio.paFloat32, channels=1, rate=48000, output=True, frames_per_buffer=4096)
stream.write(waveform, len(waveform)//4)
stream.stop_stream()
stream.close()

p.terminate()
  • Capture and decode audio data:

import ggwave
import pyaudio

p = pyaudio.PyAudio()

stream = p.open(format=pyaudio.paFloat32, channels=1, rate=48000, input=True, frames_per_buffer=1024)

print('Listening ... Press Ctrl+C to stop')
instance = ggwave.init()

try:
    while True:
        data = stream.read(1024, exception_on_overflow=False)
        res = ggwave.decode(instance, data)
        if (not res is None):
            try:
                print('Received text: ' + res.decode("utf-8"))
            except:
                pass
except KeyboardInterrupt:
    pass

ggwave.free(instance)

stream.stop_stream()
stream.close()

p.terminate()

More

Check out http://github.com/ggerganov/ggwave for more information about ggwave!

Development

Check out ggwave python package on Github.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ggwave-0.4.2.tar.gz (76.9 kB view details)

Uploaded Source

File details

Details for the file ggwave-0.4.2.tar.gz.

File metadata

  • Download URL: ggwave-0.4.2.tar.gz
  • Upload date:
  • Size: 76.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.4.2 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.8.0 tqdm/4.30.0 CPython/3.8.10

File hashes

Hashes for ggwave-0.4.2.tar.gz
Algorithm Hash digest
SHA256 f1451b636695675cdd9b92d8cf2ce3d3246b31a6e79cf63164c7d255db795124
MD5 2ac82c8aa61d4d2d81be45cce25538ce
BLAKE2b-256 a418a8b2204590a4f7f12a38398f50a9b7618b18f345428c478edf53acc30b7d

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page