---
license: cc-by-4.0
language:
- my
task_categories:
- automatic-speech-recognition
tags:
- audio
- text
- speech
- burmese
- openslr
pretty_name: OpenSLR-80 Burmese Speech Dataset
size_categories:
- 1K<n<10K
dataset_info:
  features:
  - name: file_id
    dtype: string
  - name: audio
    dtype: audio
  - name: transcription
    dtype: string
  - name: duration
    dtype: float64
  splits:
  - name: train
    num_bytes: 1429174410.16
    num_examples: 2530
  download_size: 1191582625
  dataset_size: 1429174410.16
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

# OpenSLR-80 – Brumese Transcribed Speech

**Source:** [https://www.openslr.org/80/](https://www.openslr.org/80/)

## Dataset Description
- **Homepage:** [OpenSLR SLR80](https://www.openslr.org/80/)

This dataset contains transcribed high-quality audio of Burmese sentences recorded
by female volunteers. It is part of the [OpenSLR](https://www.openslr.org) collection of
free speech resources for low-resource languages.

The data was collected via the
[Appen](https://appen.com) (formerly Figure Eight / CrowdFlower) crowdsourcing
platform and is intended for use in training automatic speech recognition (ASR)
and text-to-speech (TTS) systems.

### Data Collection

Volunteers were asked to read Burmese sentences displayed on their screen and
record themselves. Quality control was performed to ensure accurate transcriptions
and clean audio.

### Contents

| Field | Description |
|-------|-------------|
| `file_id` | Anonymized identifier for the audio file |
| `audio` | WAV audio file (mono) |
| `transcription` | Burmese text transcription of the utterance |
| `duration` | Duration of the audio in seconds |


## License

[Creative Commons Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/)

## Citation

If you use this dataset, please cite:

```
@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},
  }
```

## Additional Information

- **Homepage:** https://www.openslr.org/65/
- **Repository:** https://openslr.org/resources/65/
- **Paper:** N/A
- **Point of Contact:** OpenSLR maintainers