|
--- |
|
dataset_info: |
|
features: |
|
- name: audio |
|
dtype: audio |
|
- name: transcription |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 1334103171.848 |
|
num_examples: 2277 |
|
- name: test |
|
num_bytes: 143487827.0 |
|
num_examples: 253 |
|
download_size: 1191591762 |
|
dataset_size: 1477590998.848 |
|
configs: |
|
- config_name: default |
|
data_files: |
|
- split: train |
|
path: data/train-* |
|
- split: test |
|
path: data/test-* |
|
license: cc-by-sa-4.0 |
|
task_categories: |
|
- text-to-speech |
|
- automatic-speech-recognition |
|
language: |
|
- my |
|
pretty_name: Myanmar Speech Dataset (openslr-80) |
|
--- |
|
## Dataset Description |
|
|
|
- **Homepage:** https://www.openslr.org/ |
|
|
|
*Please visit to the [GitHub repository](https://github.com/chuuhtetnaing/myanmar-language-dataset-collection) for other Myanmar Langauge datasets.* |
|
|
|
### Myanmar Speech Dataset (OpenSLR-80) |
|
This dataset consists exclusively of Myanmar speech recordings, extracted from the larger multilingual OpenSLR dataset. |
|
For the complete multilingual dataset and additional information, please visit the [original dataset repository](https://huggingface.co./datasets/openslr/openslr) |
|
of OpenSLR Hugging Face page. |
|
|
|
### Original Source |
|
OpenSLR is a site devoted to hosting speech and language resources, such as training corpora for speech recognition, |
|
and software related to speech recognition. |
|
|
|
#### SLR80: Crowdsourced high-quality Burmese speech data set |
|
This data set contains transcribed high-quality audio of Burmese sentences recorded by volunteers. |
|
|
|
The data set has been manually quality checked, but there might still be errors. |
|
|
|
Please report any issues in the following issue tracker on GitHub. https://github.com/googlei18n/language-resources/issues |
|
|
|
The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License. |
|
See [LICENSE](https://www.openslr.org/resources/80/LICENSE) file and |
|
https://github.com/google/language-resources#license for license information. |
|
|
|
Copyright 2018, 2019 Google, Inc. |
|
|
|
#### SLR80 |
|
``` |
|
@inproceedings{oo-etal-2020-burmese, |
|
title = {{Burmese Speech Corpus, Finite-State Text Normalization and Pronunciation Grammars with an Application to Text-to-Speech}}, |
|
author = {Oo, Yin May and Wattanavekin, Theeraphol and Li, Chenfang and De Silva, Pasindu and Sarin, Supheakmungkol and Pipatsrisawat, Knot and Jansche, Martin and Kjartansson, Oddur and Gutkin, Alexander}, |
|
booktitle = {Proceedings of The 12th Language Resources and Evaluation Conference (LREC)}, |
|
month = may, |
|
year = {2020}, |
|
pages = "6328--6339", |
|
address = {Marseille, France}, |
|
publisher = {European Language Resources Association (ELRA)}, |
|
url = {https://www.aclweb.org/anthology/2020.lrec-1.777}, |
|
ISBN = {979-10-95546-34-4}, |
|
} |
|
``` |
|
|
