Metadata-Version: 2.1
Name: vac_aligner
Version: 0.0.5
Summary: Aligning Very Long audio and text pairs through VAC pipeline
Home-page: https://github.com/Ara-Yeroyan/vac_aligner
Download-URL: https://github.com/Ara-Yeroyan/vac_aligner/archive/refs/tags/v0.0.2.tar.gz
Author: Ara Yeroyan
Author-email: ar23yeroyan@gmail.com
License: Apache Software License 2.0
Keywords: vac_aligner
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Python: >=3.10
License-File: LICENSE
License-File: AUTHORS.rst
Requires-Dist: pandas~=2.0.3
Requires-Dist: regex~=2024.5.15
Requires-Dist: tqdm~=4.66.4
Requires-Dist: loguru~=0.7.2
Requires-Dist: setuptools~=70.0.0
Provides-Extra: full
Requires-Dist: nemo_toolkit[asr]; extra == "full"

==================
vac_aligner
==================


.. image:: https://img.shields.io/pypi/v/vac_aligner.svg
        :target: https://pypi.python.org/pypi/vac_aligner

.. image:: https://img.shields.io/travis/Ara-Yeroyan/vac_aligner.svg
        :target: https://travis-ci.com/Ara-Yeroyan/vac_aligner

.. image:: https://readthedocs.org/projects/vac_aligner/badge/?version=latest
        :target: https://vac_aligner.readthedocs.io/en/latest/?version=latest
        :alt: Documentation Status




Automated Clustering and Annomally Detection


* Free software: Apache Software License 2.0
* Documentation: https://vac_aligner.readthedocs.io.


Features
--------

* TODO

Credits
-------

This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage


=======
History
=======

0.0.1 (2024-05-31)
------------------

* First release on PyPI.

1. Design library structure
2. Implement 2 main steps of the VAC
    - ASR
    - CER based Matching
