Datasets:

deepdml
/

openslr80-burmese

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/

Dataset Description

Homepage: OpenSLR SLR80

This dataset contains transcribed high-quality audio of Burmese sentences recorded by female volunteers. It is part of the OpenSLR collection of free speech resources for low-resource languages.

The data was collected via the Appen (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.

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)

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