{ "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" } ] }