Python module installed with setup.py
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Latest commit dfca273 May 13, 2017
benjaminabel authored and nshmyrev committed May 13, 2017 libpulse-dev is required on ubuntu (#27)
libpulse-dev is required on ubuntu

readme.md

pocketsphinx-python

Build Status

Python interface to CMU SphinxBase and PocketSphinx libraries created with SWIG. Pocketsphinx packages include python support, however, it is based on Automake and not well supported on Windows.

This package provides module created with Python distutils setup and can be more portable.

Supported Platforms

  • Windows 7
  • Windows 8
  • Ubuntu 14.10

Install on Windows

Dependencies

Install

pip install pocketsphinx

or

git clone --recursive https://github.com/cmusphinx/pocketsphinx-python/
cd pocketsphinx-python
python setup.py install

Install on Ubuntu

Dependencies

  • python
  • python-dev
  • python-pip
  • build-essential
  • swig
  • git
  • libpulse-dev

Install

sudo apt-get install -y python python-dev python-pip build-essential swig git libpulse-dev
sudo pip install pocketsphinx

or

sudo apt-get install -y python python-dev python-pip build-essential swig git
git clone --recursive https://github.com/cmusphinx/pocketsphinx-python/
cd pocketsphinx-python
sudo python setup.py install

Basic usage

#!/usr/bin/env python
from os import environ, path

from pocketsphinx.pocketsphinx import *
from sphinxbase.sphinxbase import *

MODELDIR = "pocketsphinx/model"
DATADIR = "pocketsphinx/test/data"

# Create a decoder with certain model
config = Decoder.default_config()
config.set_string('-hmm', path.join(MODELDIR, 'en-us/en-us'))
config.set_string('-lm', path.join(MODELDIR, 'en-us/en-us.lm.bin'))
config.set_string('-dict', path.join(MODELDIR, 'en-us/cmudict-en-us.dict'))
decoder = Decoder(config)

# Decode streaming data.
decoder = Decoder(config)
decoder.start_utt()
stream = open(path.join(DATADIR, 'goforward.raw'), 'rb')
while True:
  buf = stream.read(1024)
  if buf:
    decoder.process_raw(buf, False, False)
  else:
    break
decoder.end_utt()
print ('Best hypothesis segments: ', [seg.word for seg in decoder.seg()])