language:jav text-to-speech region:us
This data set contains high-quality transcribed audio data for Javanese.
The data set consists of wave files, and a TSV file.
The file line_index.tsv contains a filename and the transcription of audio in the file.
Each filename is prepended with a speaker identification number.
The data set has been manually quality checked, but there might still be errors.
This dataset was collected by Google in collaboration with Gadjah Mada University in Indonesia.
@inproceedings{sodimana18_sltu,
  author={Keshan Sodimana and Pasindu {De Silva} and Supheakmungkol Sarin and Oddur Kjartansson and Martin Jansche and Knot Pipatsrisawat and Linne Ha},
  title={{A Step-by-Step Process for Building TTS Voices Using Open Source Data and Frameworks for Bangla, Javanese, Khmer, Nepali, Sinhala, and Sundanese}},
  year=2018,
  booktitle={Proc. 6th Workshop on Spoken Language Technologies for Under-Resourced Languages (SLTU 2018)},
  pages={66--70},
  doi={10.21437/SLTU.2018-14}
}
---
tags:
- text-to-speech
language:
- jav
---

# jv_id_tts

This data set contains high-quality transcribed audio data for Javanese.

The data set consists of wave files, and a TSV file.

The file line_index.tsv contains a filename and the transcription of audio in the file.

Each filename is prepended with a speaker identification number.

The data set has been manually quality checked, but there might still be errors.

This dataset was collected by Google in collaboration with Gadjah Mada University in Indonesia.

## Dataset Usage

Run `pip install nusacrowd` before loading the dataset through HuggingFace's `load_dataset`.

## Citation

```
@inproceedings{sodimana18_sltu,
  author={Keshan Sodimana and Pasindu {De Silva} and Supheakmungkol Sarin and Oddur Kjartansson and Martin Jansche and Knot Pipatsrisawat and Linne Ha},
  title={{A Step-by-Step Process for Building TTS Voices Using Open Source Data and Frameworks for Bangla, Javanese, Khmer, Nepali, Sinhala, and Sundanese}},
  year=2018,
  booktitle={Proc. 6th Workshop on Spoken Language Technologies for Under-Resourced Languages (SLTU 2018)},
  pages={66--70},
  doi={10.21437/SLTU.2018-14}
}
```

## License

See https://www.openslr.org/resources/41/LICENSE file for license information. Attribution-ShareAlike 4.0 (CC BY-SA 4.0).

## Homepage

[http://openslr.org/41/](http://openslr.org/41/)

### NusaCatalogue

For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)