htk_io 0.5

License

Please see the file License for details of the license and warranty for htk_io.

Installation

For most purposes the simplest way to install htk_io is to use pip. For example in Debian and Ubuntu:

sudo apt-get install python-numpy
sudo pip install htk_io

The first command installs numpy from the system repository, since installing numpy using pip is generally not recommended. The second command installs the latest released version of htk_io on PyPI, together with any currently uninstalled python packages required by htk_io.

htk_io can also be installed in a virtualenv:

sudo apt-get install python-numpy
virtualenv --system-site-packages env
env/bin/pip install htk_io

The latest development version of htk_io is available from a github repository (see below).

To check that htk_io is installed correctly you can run the test suite:

python -m unittest discover htk_io

Usage

Examples of usage of various functions and classes are included in their docstrings. A few examples of files in the formats this package can read and write are provided in the example directory.

Source

The source code is hosted in the htk_io github repository. To obtain the latest source code using git:

git clone git://github.com/MattShannon/htk_io.git

Development is in fact done using darcs, with the darcs repository converted to a git repository using darcs-to-git.

To install any currently uninstalled python packages required by htk_io:

sudo apt-get install cython python-numpy
sudo pip install -r requirements.txt

Bugs

Please use the issue tracker to submit bug reports.

Contact

The author of htk_io is Matt Shannon.