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---
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 HuggingFace 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},
}
```
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