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        "author": "Aleksandr Sizov, Elie Khoury",
        "author_email": "sizov@cs.uef.fi, Elie.Khoury@idiap.ch",
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            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
            "Natural Language :: English",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Topic :: Scientific/Engineering :: Artificial Intelligence"
        ],
        "description": "Toolchain for fast and scalable PLDA\n====================================\n\nThis package contains scripts that run the fast and scalable PLDA [1] and two-stage PLDA [2]. The package uses the framework of Bob `Spear` for handling the protocol, the toolchain and doing the post-processing (whitening and length-normalization). \n\nIf you use this package and/or its results, please you must cite the following publications:\n\n[1] The original Fast PLDA paper published at S+SSPR 2014::\n\n    @inproceedings{Sizov2014,\n      author = {Sizov, A and Lee, K.A. and Kinnunen, T.},\n      title = {Unifying Probabilistic Linear Discriminant Analysis Variants in Biometric Authentication},\n      booktitle = {Proc. S+SSPR},\n      year = {2014},\n      url = {to appear},\n    }\n\n[2] Two-stage PLDA applied for anti-spoofing:\n\n    @article{Sizov2015,\n      title={Joint Speaker Verification and Anti-Spoofing in the i-Vector Space},\n      author={Sizov, A. and Khoury, E. and Kinnunen, T. and Wu, Z. and Marcel, S.},\n      journal={Information Forensics and Security, {IEEE} Transactions on},\n      volume={10},\n      number={4},\n      pages={821-832},\n      year={2015},\n      publisher={IEEE}\n    }\n\n[3] The Spear paper published at ICASSP 2014::\n\n    @inproceedings{Khoury2014,\n      author = {Khoury, E. and El Shafey, L. and Marcel, S.},\n      title = {Spear: An open source toolbox for speaker recognition based on {B}ob},\n      booktitle = {IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP)},\n      year = {2014},\n      url = {http://publications.idiap.ch/downloads/papers/2014/Khoury_ICASSP_2014.pdf},\n    }\n\n\nInstallation\n------------\n\nJust download this package and decompress it locally::\n\n  $ wget http://pypi.python.org/packages/source/x/xspear.fast_plda/xspear.fast_plda-1.1.1.zip\n  $ unzip xspear.fast_plda-1.1.1.zip\n  $ cd xspear.fast_plda-1.1.1\n\nUse buildout to bootstrap and have a working environment ready for\nexperiments::\n\n  $ python bootstrap.py\n  $ ./bin/buildout\n\nThis also requires that bob (== 1.2) is installed.\n\n\nExample of use\n--------------\n\nTo reproduce our spoofing experiments you need to download the data\n  $ wget http://www.idiap.ch/resource/biometric/data/TIFS2015.zip\n  $ unzip TIFS2015.zip\n  \nand modify necessary directories for the scripts/TIFS2015/reproduce_* shell scripts.\n  \nFor more details and options, please use --help option for the executable files in the bin/ directory:\n\n  $ bin/ivec_whitening_lnorm.py --help  \n\n.. _Spear: https://pypi.python.org/pypi/bob.spear/",
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