This is PocketSphinx, one of Carnegie Mellon University's open source large vocabulary, speaker-independent continuous speech recognition engines.
Although this was at one point a research system, active development has largely ceased and it has become very, very far from the state of the art. I am making a release, because people are nonetheless using it, and there are a number of historical errors in the build system and API which needed to be corrected.
The version number is strangely large because there was a "release" that people are using called 5prealpha, and we will use proper semantic versioning from now on.
Please see the LICENSE file for terms of use.
We now use CMake for building, which should give reasonable results across Linux and Windows. Not certain about Mac OS X because I don't have one of those. In addition, the audio library, which never really built or worked correctly on any platform at all, has simply been removed.
There is no longer any dependency on SphinxBase, because there is no reason for SphinxBase to exist. You can just link against the PocketSphinx library, which now includes all of its functionality.
To install the Python module in a virtual environment (replace
~/ve_pocketsphinx with the virtual environment you wish to create),
from the top level directory:
python3 -m venv ~/ve_pocketsphinx
. ~/ve_pocketsphinx/bin/activate
pip install .
To install the C library and bindings (assuming you have access to
/usr/local - if not, use -DCMAKE_INSTALL_PREFIX to set a different
prefix when running cmake):
mkdir build
cd build
cmake .. # Add CMake options here
make all test
make install