sphinxwrapper 1.3.0

Installation & dependencies

To install this package via pip, run the following command:

pip install sphinxwrapper

If you are installing in order to develop sphinxwrapper, clone/download the repository, move to the root directory and run:

pip install -e .

Either of the above commands will also install version 0.1.15 of the required pocketsphinx-python package.

Usage example

The following example demonstrates how to use sphinxwrapper and PyAudio to scan and interpret audio from the microphone using the default language model and dictionary.

import os
import time

from pyaudio import PyAudio, paInt16

from sphinxwrapper import PocketSphinx, DefaultConfig

# Initialise a Pocket Sphinx decoder with the default configuration.
config = DefaultConfig()
config.set_string("-logfn", os.devnull)  # Suppress log output.
ps = PocketSphinx(config)

# Define decoder callback functions.
def speech_start_callback():
    print("Speech started.")

def hypothesis_callback(hyp):
    hypstr = hyp.hypstr if hyp else None
    print("Hypothesis: %r" % hypstr)

# Set decoder callback functions.
ps.speech_start_callback = speech_start_callback
ps.hypothesis_callback = hypothesis_callback

# Open an audio stream on the default input audio device.
p = PyAudio()
stream = p.open(format=paInt16, channels=1, rate=16000, input=True,
                frames_per_buffer=2048, input_device_index=None)
stream.start_stream()

# Recognise from the microphone in a loop until interrupted.
try:
    print("Listening... Press Ctrl+C to exit...")
    while True:
        ps.process_audio(stream.read(2048))
        time.sleep(0.1)
except KeyboardInterrupt:
    stream.stop_stream()
    p.terminate()

Python versions

This package has been written for Python 2.7 and above. It should work the same way for each supported version. Please file an issue if you encounter a problem specific to the Python version you’re using.

Documentation

The documentation for this project is written in reStructuredText and built using the Sphinx documentation engine.

Run the following commands in the repository folder to build it locally:

cd docs
pip install -r requirements.txt
make html