language:min language:bug language:ind language:ban language:ace language:sun language:jav speech-recognition region:us
The LibriVox Indonesia dataset consists of MP3 audio and a corresponding text file we generated from the public domain audiobooks LibriVox. 
We collected only languages in Indonesia for this dataset. 
The original LibriVox audiobooks or sound files' duration varies from a few minutes to a few hours. 
Each audio file in the speech dataset now lasts from a few seconds to a maximum of 20 seconds.
We converted the audiobooks to speech datasets using the forced alignment software we developed. 
It supports multilingual, including low-resource languages, such as Acehnese, Balinese, or Minangkabau. 
We can also use it for other languages without additional work to train the model.
The dataset currently consists of 8 hours in 7 languages from Indonesia. 
We will add more languages or audio files as we collect them.
@misc{
   research, 
   title={indonesian-nlp/librivox-indonesia · datasets at hugging face}, 
   url={https://huggingface.co/datasets/indonesian-nlp/librivox-indonesia},
   author={Indonesian-nlp}
}
---
tags:
- speech-recognition
language:
- min
- bug
- ind
- ban
- ace
- sun
- jav
---

# librivox_indonesia

The LibriVox Indonesia dataset consists of MP3 audio and a corresponding text file we generated from the public domain audiobooks LibriVox. 

We collected only languages in Indonesia for this dataset. 

The original LibriVox audiobooks or sound files' duration varies from a few minutes to a few hours. 

Each audio file in the speech dataset now lasts from a few seconds to a maximum of 20 seconds.

We converted the audiobooks to speech datasets using the forced alignment software we developed. 

It supports multilingual, including low-resource languages, such as Acehnese, Balinese, or Minangkabau. 

We can also use it for other languages without additional work to train the model.

The dataset currently consists of 8 hours in 7 languages from Indonesia. 

We will add more languages or audio files as we collect them.

## Dataset Usage

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

## Citation

```
@misc{
   research, 
   title={indonesian-nlp/librivox-indonesia · datasets at hugging face}, 
   url={https://huggingface.co/datasets/indonesian-nlp/librivox-indonesia},
   author={Indonesian-nlp}
}
```

## License

CC0

## Homepage

[https://huggingface.co/indonesian-nlp/librivox-indonesia](https://huggingface.co/indonesian-nlp/librivox-indonesia)

### NusaCatalogue

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