https://github.com/microo8/hmmlab

HMMLab is a Hidden Markov Model editor oriented on HMMs for speach recognition. It can create, edit, train and visualize HMMs. HMMLab supports loading/saving HMMs from/to HTK files.
https://github.com/microo8/hmmlab

c-plus-plus gtk3 hidden-markov-model python

Last synced: about 2 months ago
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HMMLab is a Hidden Markov Model editor oriented on HMMs for speach recognition. It can create, edit, train and visualize HMMs. HMMLab supports loading/saving HMMs from/to HTK files.

• Host: GitHub
• URL: https://github.com/microo8/hmmlab
• Owner: microo8
• Created: 2012-06-13T12:23:45.000Z (over 12 years ago)
• Default Branch: master
• Last Pushed: 2016-05-10T05:35:18.000Z (over 8 years ago)
• Last Synced: 2023-03-24T10:51:26.188Z (almost 2 years ago)
• Topics: c-plus-plus, gtk3, hidden-markov-model, python
• Language: Python
• Size: 26.7 MB
• Stars: 4
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.rst

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README

        
HMMLab

======

HMMLab is a Hidden Markov Model editor oriented on HMMs for speach recognition. It can create, edit, train and visualize HMMs. HMMLab supports loading/saving HMMs from/to HTK files.

Compilation

```````````

Before compilation you must install:

 - `SWIG `_

 - `GSL `_

 - `Graphviz `_

 - `Libxml2 `_

 - `PyGObject `_ for **Python3**.

You must use **Python3**.

Go to ``hmmlab/`` directory:

::

  $ python3 setup.py build

  $ sudo python3 setup.py install

Now you have a script in ``/usr/bin`` named ``hmmlab``.

Or on a rpm distibution you can simply download the rpm package in the `dist `_ section. It will install all dependencies.

You must create a configuration file in ``~/.config/hmmlab.conf`` and it might look like:

::

  [mainwindow]

  width = 800

  height = 600

  [model]

  width = 80

  height = 40

Running ``$ hmmlab`` will start the **HMMLab** application. Have fun :)