Skip to main content

Classes and iterators for the Buckeye Corpus

Project description

This package is for iterating through the Buckeye Corpus annotations in Python. It uses the annotation timestamps to cross-reference the .words, .phones, and .log files, and can be used to extract sound clips from the .wav files. It is tested to work with Python 2.7 and 3.6.

Usage

There is a short guide to using the package in the Quickstart notebook, and the docstrings in buckeye.py, containers.py, and utterance.py have more detail.

Installation

The package can be installed from PyPI with pip with this command:

pip install buckeye

The latest version can also be installed from GitHub with pip with this command:

pip install git+http://github.com/scjs/buckeye.git

You can also copy the buckeye subdirectory into your working directory, or put it in your Python path.

Tests

To run the tests, run nosetests from the root directory, or python setup.py test to install the test dependencies first.

References

Pitt, M.A., Dilley, L., Johnson, K., Kiesling, S., Raymond, W., Hume, E. and Fosler-Lussier, E. (2007) Buckeye Corpus of Conversational Speech (2nd release) [www.buckeyecorpus.osu.edu] Columbus, OH: Department of Psychology, Ohio State University (Distributor).

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
buckeye-1.3-py2.py3-none-any.whl (12.5 kB) Copy SHA256 hash SHA256 Wheel py2.py3
buckeye-1.3.tar.gz (43.3 kB) Copy SHA256 hash SHA256 Source None

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page