annotations_creators:
- expert-generated
language_creators:
- crowdsourced
language:
- en
language_bcp47:
- en-US
license:
- other
multilinguality:
- monolingual
pretty_name: Buckeye Corpus
size_categories:
- unknown
source_datasets:
- original
task_categories:
- automatic-speech-recognition
task_ids:
- speech-recognition
Dataset Card for the Buckeye Corpus (buckeye_asr)
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: https://buckeyecorpus.osu.edu/
- Repository: [Needs More Information]
- Paper: [Needs More Information]
- Leaderboard: [Needs More Information]
- Point of Contact: [Needs More Information]
Dataset Summary
The Buckeye Corpus of conversational speech contains high-quality recordings from 40 speakers in Columbus OH conversing freely with an interviewer. The speech has been orthographically transcribed and phonetically labeled.
Supported Tasks and Leaderboards
[Needs More Information]
Languages
American English (en-US)
Dataset Structure
Data Instances
[Needs More Information]
Data Fields
file: filename of the audio file containing the utterance.audio: filename of the audio file containing the utterance.text: transcription of the utterance.phonetic_detail: list of phonetic annotations for the utterance (start, stop and label of each phone).word_detail: list of word annotations for the utterance (start, stop, label, broad and narrow transcriptions, syntactic class).speaker_id: string identifying the speaker.id: string identifying the utterance.
Data Splits
The data is split in training, validation and test sets with different speakers (32, 4, and 4 speakers respectively) in each set. The sets are all balanced for speaker's gender and age.
Dataset Creation
Curation Rationale
[Needs More Information]
Source Data
Initial Data Collection and Normalization
[Needs More Information]
Who are the source language producers?
[Needs More Information]
Annotations
Annotation process
[Needs More Information]
Who are the annotators?
[Needs More Information]
Personal and Sensitive Information
[Needs More Information]
Considerations for Using the Data
Social Impact of Dataset
[Needs More Information]
Discussion of Biases
[Needs More Information]
Other Known Limitations
[Needs More Information]
Additional Information
Dataset Curators
[Needs More Information]
Licensing Information
FREE for noncommercial uses.
Citation Information
@misc{pitt2007Buckeye,
title = {Buckeye {Corpus} of {Conversational} {Speech} (2nd release).},
url = {www.buckeyecorpus.osu.edu},
publisher = {Columbus, OH: Department of Psychology, Ohio State University (Distributor)},
author = {Pitt, M.A. and Dilley, L. and Johnson, K. and Kiesling, S. and Raymond, W. and Hume, E. and Fosler-Lussier, E.},
year = {2007},
}
Usage
The first step is to download a copy of the dataset from the official website. Once done, the dataset can be loaded directly through the datasets library by running:
from datasets import load_dataset
dataset = load_dataset("bhigy/buckeye_asr", data_dir=<path_to_the_dataset>)
where <path_to_the_dataset> points to the folder where the dataset is stored. An example of path to one of the audio files is then <path_to_the_dataset>/s01/s0101a.wav.