|
|
--- |
|
|
dataset_info: |
|
|
features: |
|
|
- name: audio |
|
|
dtype: audio |
|
|
- name: transcription |
|
|
dtype: string |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 5042141880.712 |
|
|
num_examples: 60677 |
|
|
- name: test |
|
|
num_bytes: 453476003.856 |
|
|
num_examples: 5164 |
|
|
download_size: 3269805000 |
|
|
dataset_size: 5495617884.568 |
|
|
configs: |
|
|
- config_name: default |
|
|
data_files: |
|
|
- split: train |
|
|
path: data/train-* |
|
|
- split: test |
|
|
path: data/test-* |
|
|
--- |
|
|
|
|
|
This repo contains the dataset presented by Almeman et al., 2013. If you use this dataset, please cite the authors. |
|
|
|
|
|
``` |
|
|
@INPROCEEDINGS{6487288, |
|
|
author={Almeman, Khalid and Lee, Mark and Almiman, Ali Abdulrahman}, |
|
|
booktitle={2013 1st International Conference on Communications, Signal Processing, and their Applications (ICCSPA)}, |
|
|
title={Multi dialect Arabic speech parallel corpora}, |
|
|
year={2013}, |
|
|
volume={}, |
|
|
number={}, |
|
|
pages={1-6}, |
|
|
keywords={Speech;Training;Microphones;Cities and towns;Speech recognition;Receivers;NIST;Multi-Dialect;Speech Corpora;Parallel;Arabic Dialects}, |
|
|
doi={10.1109/ICCSPA.2013.6487288}} |
|
|
``` |
