semvec/pypi-packages huggingface dataset:
bob.paper.interspeech_2016 1.0.12
Cross-database evaluation of audio-based spoofing detection systems
License: BSD
Keywords: PAD experiments,paper package,cross-database testing

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=====================================================================
 Cross-database evaluation of audio-based spoofing detection systems
=====================================================================

This package is part of the Bob_ toolkit and it allows to reproduce the experimental results published in the following paper::

    @inproceedings{KorshunovInterspeech2016,
        author = {P. Korshunov AND S. Marcel},
        title = {Cross-database evaluation of audio-based spoofing detection systems},
        year = {2016},
        month = sep,
        booktitle = {Interspeech},
        pages={1705--1709},
        address = {San Francisco, CA, USA},
    }

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.  Then, you can create a conda environment with the following
command::

    $ cd bob.paper.interspeech_2016
    $ conda env create -f environment.yml
    $ source activate bob.paper.interspeech_2016  # activate the environment
    $ python -c "import bob.bio.base"  # test the installation
    $ buildout

This will install all the required software to reproduce this paper.


Documentation
-------------
For further documentation on this package, please read the `Documentation <https://www.idiap.ch/software/bob/docs/bob/bob.paper.interspeech_2016/v1.0.12/index.html>`_.
For a list of tutorials on this or the other packages of Bob_, or information on submitting issues, asking questions and starting discussions, please visit its website.

.. _bob: http://www.idiap.ch/software/bob
.. _conda: https://conda.io
.. _install conda: https://conda.io/docs/install/quick.html#linux-miniconda-install
.. _bob.bio: https://pypi.python.org/pypi/bob.bio.base