pyggwave 0.4.2.7

Tiny data-over-sound library with better documentation and more functions.

A fork of tiny data-over-sound library with improved documentation and Python compatibility.

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

# decode audio waveform
text = pyggwave.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 pyggwave

API

encode()

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

Encodes payload into an audio waveform.

Output of help(pyggwave.encode):

cython_function_or_method in module pyggwave

encode(self, payload: 'bytes | str', protocol: 'Protocol' = <Protocol.ULTRASOUND_FASTEST: 5>, volume: 'int' = 100) -> 'bytes'
    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 pyggwave instance is required.

Output of help(pyggwave.decode):

cython_function_or_method in module pyggwave

decode(self, frame: 'bytes') -> 'bytes | None'
    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 pyggwave
import pyaudio

p = pyaudio.PyAudio()

ggwave = pyggwave.GGWave()

# generate audio waveform for string "hello python"
waveform = ggwave.encode("hello python", protocol_id=3)

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)

ggwave.free()

stream.stop_stream()
stream.close()

p.terminate()

• Capture and decode audio data:

import pyggwave
import pyaudio

p = pyaudio.PyAudio()

ggwave = pyggwave.GGWave()

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

print('Listening ... Press Ctrl+C to stop')

try:
    while True:
        data = stream.read(1024, exception_on_overflow=False)
        res = ggwave.decode(data)

        if res:
            try:
                print('Received text: ' + res.decode("utf-8"))
            except as exc:
                print(exc)
except KeyboardInterrupt:
    pass

ggwave.free()

stream.stop_stream()
stream.close()

p.terminate()

More

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

Development

Check out pyggwave python package on Github.