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        "author": "Pavel Korshunov",
        "author_email": "pavel.korshunov@idiap.ch",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Framework :: Bob",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: BSD License",
            "Natural Language :: English",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Topic :: Database :: Front-Ends",
            "Topic :: Scientific/Engineering :: Artificial Intelligence"
        ],
        "description": ".. vim: set fileencoding=utf-8 :\n.. Tue 16 Aug 11:51:35 CEST 2016\n\n.. image:: http://img.shields.io/badge/docs-v1.2.2-yellow.svg\n   :target: https://www.idiap.ch/software/bob/docs/bob/bob.db.asvspoof/v1.2.2/index.html\n.. image:: http://img.shields.io/badge/docs-latest-orange.svg\n   :target: https://www.idiap.ch/software/bob/docs/bob/bob.db.asvspoof/master/index.html\n.. image:: https://gitlab.idiap.ch/bob/bob.db.asvspoof/badges/v1.2.2/build.svg\n   :target: https://gitlab.idiap.ch/bob/bob.db.asvspoof/commits/v1.2.2\n.. image:: https://gitlab.idiap.ch/bob/bob.db.asvspoof/badges/v1.2.2/coverage.svg\n   :target: https://gitlab.idiap.ch/bob/bob.db.asvspoof/commits/v1.2.2\n.. image:: https://img.shields.io/badge/gitlab-project-0000c0.svg\n   :target: https://gitlab.idiap.ch/bob/bob.db.asvspoof\n.. image:: http://img.shields.io/pypi/v/bob.db.asvspoof.svg\n   :target: https://pypi.python.org/pypi/bob.db.asvspoof\n\n\n===================================\nASVspoof Database Interface for Bob\n===================================\n\nThis package is part of the signal-processing and machine learning toolbox\nBob_. It contains a Bob-based access API for the ASVspoof_ Database. The\ndatabase has been used in the first Automatic Speaker Verification Spoofing and\nCountermeasures Challenge (ASVspoof 2015). Genuine speech is collected from 106\nspeakers (45 male, 61 female) and with no significant channel or background\nnoise effects. Spoofed speech is generated from the genuine data using a number\nof different spoofing algorithms. The full dataset is partitioned into three\nsubsets, the first for training, the second for development, and the third for\nevaluation. More details can be found in the evaluation plan in the summary\npaper::\n\n\t@inproceedings{WuASVspoof2015,\n\t  title={{ASVspoof} 2015: the First Automatic Speaker Verification Spoofing and Countermeasures Challenge},\n\t  author={Wu, Zhizheng and Kinnunen, Tomi and Evans, Nicholas and Yamagishi, Junichi and\n\t\tHanil{\\c{c}}i, Cemal and Sahidullah, Md and Sizov, Aleksandr},\n\t  booktitle={INTERSPEECH},\n\t  month=sep,\n\t  address={Dresden, Germany},\n\t  year={2015},\n\t  pages={2037-2041}\n\t}\n\n\nInstallation\n------------\n\nComplete Bob's `installation`_ instructions. Then, to install this package,\nrun::\n\n  $ conda install bob.db.asvspoof\n\n\nContact\n-------\n\nFor questions or reporting issues to this software package, contact our\ndevelopment `mailing list`_.\n\n\n.. Place your references here:\n.. _bob: https://www.idiap.ch/software/bob\n.. _installation: https://www.idiap.ch/software/bob/install\n.. _mailing list: https://www.idiap.ch/software/bob/discuss\n.. _asvspoof: http://datashare.is.ed.ac.uk/handle/10283/853",
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