Dataset Viewer

The dataset viewer is not available because its heuristics could not detect any supported data files. You can try uploading some data files, or configuring the data files location manually.

Please visit to the GitHub repository 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 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 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},
}
Downloads last month
81