{
"info": {
"author": "Scott Seyfarth",
"author_email": "",
"bugtrack_url": null,
"classifiers": [
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Natural Language :: English",
"Programming Language :: Python :: 2",
"Programming Language :: Python :: 2.7",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.6",
"Topic :: Multimedia :: Sound/Audio :: Analysis",
"Topic :: Multimedia :: Sound/Audio :: Speech",
"Topic :: Scientific/Engineering"
],
"description": "This package is for iterating through the\n`Buckeye Corpus `__ annotations in Python. It\nuses the annotation timestamps to cross-reference the .words, .phones, and\n.log files, and can be used to extract sound clips from the .wav files. It is\ntested to work with Python 2.7 and 3.6.\n\nUsage\n-----\n\nThere is a short guide to using the package in the\n`Quickstart `__\nnotebook, and the docstrings in ``buckeye.py``, ``containers.py``, and\n``utterance.py`` have more detail.\n\nInstallation\n------------\n\nThe package can be installed from PyPI with pip with this command:\n\n::\n\n pip install buckeye\n\nThe latest version can also be installed from GitHub with pip with this\ncommand:\n\n::\n\n pip install git+http://github.com/scjs/buckeye.git\n\nYou can also copy the ``buckeye`` subdirectory into your working\ndirectory, or put it in your Python path.\n\nTests\n-----\n\nTo run the tests, run ``nosetests`` from the root directory, or\n``python setup.py test`` to install the test dependencies first.\n\nReferences\n----------\n\nPitt, M.A., Dilley, L., Johnson, K., Kiesling, S., Raymond, W., Hume, E.\nand Fosler-Lussier, E. (2007) Buckeye Corpus of Conversational Speech\n(2nd release) [www.buckeyecorpus.osu.edu] Columbus, OH: Department of\nPsychology, Ohio State University (Distributor).\n\n\n",
"description_content_type": "",
"docs_url": null,
"download_url": "",
"downloads": {
"last_day": -1,
"last_month": -1,
"last_week": -1
},
"home_page": "https://github.com/scjs/buckeye/",
"keywords": "speech linguistics language conversation corpus",
"license": "MIT",
"maintainer": "",
"maintainer_email": "",
"name": "buckeye",
"package_url": "https://pypi.org/project/buckeye/",
"platform": "",
"project_url": "https://pypi.org/project/buckeye/",
"project_urls": {
"Homepage": "https://github.com/scjs/buckeye/"
},
"release_url": "https://pypi.org/project/buckeye/1.3/",
"requires_dist": null,
"requires_python": "",
"summary": "Classes and iterators for the Buckeye Corpus",
"version": "1.3"
},
"last_serial": 3720432,
"releases": {
"1.2.1": [
{
"comment_text": "",
"digests": {
"md5": "6d3241add8197c8da6319fd0096a18fd",
"sha256": "6bcf434184678ba7f92be67312031a8bf95d6870200f68680c9bfab5fe2c923f"
},
"downloads": -1,
"filename": "buckeye-1.2.1-py2.py3-none-any.whl",
"has_sig": false,
"md5_digest": "6d3241add8197c8da6319fd0096a18fd",
"packagetype": "bdist_wheel",
"python_version": "py2.py3",
"requires_python": null,
"size": 13033,
"upload_time": "2018-03-30T14:52:29",
"url": "https://files.pythonhosted.org/packages/17/2a/8a09dbd9127dccb62fa6054f325775b1512ca098cd10a486fcfb9ef59881/buckeye-1.2.1-py2.py3-none-any.whl"
},
{
"comment_text": "",
"digests": {
"md5": "59c0a533c6b77bce6734bbcbaf682f2f",
"sha256": "a64a9901c35d8ca653f131f6f240fa12e5e403ee2d20b504f0122aefdb3454f9"
},
"downloads": -1,
"filename": "buckeye-1.2.1.tar.gz",
"has_sig": false,
"md5_digest": "59c0a533c6b77bce6734bbcbaf682f2f",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 43826,
"upload_time": "2018-03-30T14:52:30",
"url": "https://files.pythonhosted.org/packages/40/fa/6bb5781bad1aada8c6b7a318de8c2cfe0460d6cb7540a1e3fff59540e317/buckeye-1.2.1.tar.gz"
}
],
"1.3": [
{
"comment_text": "",
"digests": {
"md5": "b6befe8e5fa4178cde955a399b77006c",
"sha256": "c799d808fa606c5c60a5e3117c68814685115373aae396a9a3d15d6b256ef582"
},
"downloads": -1,
"filename": "buckeye-1.3-py2.py3-none-any.whl",
"has_sig": false,
"md5_digest": "b6befe8e5fa4178cde955a399b77006c",
"packagetype": "bdist_wheel",
"python_version": "py2.py3",
"requires_python": null,
"size": 12499,
"upload_time": "2018-03-30T19:05:52",
"url": "https://files.pythonhosted.org/packages/5f/ab/0997332dedf24618e4f00a78fd5953c282bfbfd34a3b43d083ea7f7ffed8/buckeye-1.3-py2.py3-none-any.whl"
},
{
"comment_text": "",
"digests": {
"md5": "d71919a690087d2b919a660c1de22afe",
"sha256": "967adda875fb71bb006507110139668147f2fd137dc2012891c038d1cc579510"
},
"downloads": -1,
"filename": "buckeye-1.3.tar.gz",
"has_sig": false,
"md5_digest": "d71919a690087d2b919a660c1de22afe",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 43346,
"upload_time": "2018-03-30T19:05:53",
"url": "https://files.pythonhosted.org/packages/7c/97/53495852893d3c491338637ef0d93735991359a5c1c8f13f722a339fc7bb/buckeye-1.3.tar.gz"
}
]
},
"urls": [
{
"comment_text": "",
"digests": {
"md5": "b6befe8e5fa4178cde955a399b77006c",
"sha256": "c799d808fa606c5c60a5e3117c68814685115373aae396a9a3d15d6b256ef582"
},
"downloads": -1,
"filename": "buckeye-1.3-py2.py3-none-any.whl",
"has_sig": false,
"md5_digest": "b6befe8e5fa4178cde955a399b77006c",
"packagetype": "bdist_wheel",
"python_version": "py2.py3",
"requires_python": null,
"size": 12499,
"upload_time": "2018-03-30T19:05:52",
"url": "https://files.pythonhosted.org/packages/5f/ab/0997332dedf24618e4f00a78fd5953c282bfbfd34a3b43d083ea7f7ffed8/buckeye-1.3-py2.py3-none-any.whl"
},
{
"comment_text": "",
"digests": {
"md5": "d71919a690087d2b919a660c1de22afe",
"sha256": "967adda875fb71bb006507110139668147f2fd137dc2012891c038d1cc579510"
},
"downloads": -1,
"filename": "buckeye-1.3.tar.gz",
"has_sig": false,
"md5_digest": "d71919a690087d2b919a660c1de22afe",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 43346,
"upload_time": "2018-03-30T19:05:53",
"url": "https://files.pythonhosted.org/packages/7c/97/53495852893d3c491338637ef0d93735991359a5c1c8f13f722a339fc7bb/buckeye-1.3.tar.gz"
}
]
}