Metadata-Version: 1.1
Name: bob.paper.lipsync2019
Version: 1.0.0
Summary: Source code for EUSIPCO 2018 paper on audio-visual inconsistency detection
Home-page: https://gitlab.idiap.ch/bob/bob.paper.lipsync2019
Author: Pavel Korshunov
Author-email: pavel.korshunov@idiap.ch
License: BSD
Description: .. vim: set fileencoding=utf-8 :
        .. Thu 23 Jun 13:43:22 2016
        .. image:: http://img.shields.io/badge/docs-v1.0.0-yellow.svg
           :target: https://www.idiap.ch/software/bob/docs/bob/bob.paper.lipsync2019/v1.0.0/index.html
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           :target: https://gitlab.idiap.ch/bob/bob.paper.lipsync2019
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        ===================================================
         Speaker Inconsistency Detection in Tampered Video
        ===================================================
        
        This package is part of the Bob_ toolkit and it allows to reproduce the experimental results published in the following paper::
        
            @inproceedings{KorshunovICML2019,
                 author = {Korshunov, Pavel and Halstead, Michael and Castan, Diego and Graciarena, Martin and McLaren, Mitchell and Burns, Brian and Lawson, Aaron and Marcel, S{\'{e}}bastien},
               keywords = {inconsistencies detection, lip-syncing, Video tampering},
                  month = jul,
                  title = {Tampered Speaker Inconsistency Detection with Phonetically Aware Audio-visual Features},
              booktitle = {International Conference on Machine Learning},
                 series = {Synthetic Realities: Deep Learning for Detecting AudioVisual Fakes},
                   year = {2019},
            }
        
        If you use this package and/or its results, please cite the paper.
        
        
        Installation
        ------------
        
        The installation instructions are based on conda_ and works on **Linux** and **Mac OS** systems
        only. `Install conda`_ before continuing.
        
        Once you have installed conda_, download the source code of this paper and
        unpack it or checkout from Gitlab.  Then, you can create a conda environment with the following
        command::
        
            $ cd bob.paper.lipsync2019
            $ conda env create -f environment.yml
            $ source activate bob.paper.lipsync2019  # activate the environment
            $ python -c "import bob.io.base"  # test the installation
            $ buildout
        
        This will install all the required software to reproduce this paper.
        
        
        Documentation
        -------------
        
          * `Download databases and generate tampered videos <https://gitlab.idiap.ch/bob/bob.paper.lipsync2019/tree/v1.0.0/doc/databases.rst>`_
          * `Reproduce the experiments <https://gitlab.idiap.ch/bob/bob.paper.lipsync2019/tree/v1.0.0/doc/guide.rst>`_
        
        Contact
        -------
        
        For questions or reporting issues to this software package, contact Pavel Korshunov (pavel.korshunov@idiap.ch).
        
        
        .. Place your references here:
        .. _bob: https://www.idiap.ch/software/bob
        .. _installation: https://www.idiap.ch/software/bob/install
        .. _mailing list: https://www.idiap.ch/software/bob/discuss
        .. _idiap: https://www.idiap.ch
        .. _conda: https://conda.io
        .. _install conda: https://conda.io/docs/install/quick.html#linux-miniconda-install
        
        
Keywords: paper at ICML workshop 2019,audio-visual inconsistency
Platform: UNKNOWN
Classifier: Framework :: Bob
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
