---
tags:
- speech-recognition
language:
- ind
---

# titml_idn

TITML-IDN (Tokyo Institute of Technology Multilingual - Indonesian) is collected to build a pioneering Indonesian Large Vocabulary Continuous Speech Recognition (LVCSR) System. In order to build an LVCSR system, high accurate acoustic models and large-scale language models are essential. Since Indonesian speech corpus was not available yet, we tried to collect speech data from 20 Indonesian native speakers (11 males and 9 females) to construct a speech corpus for training the acoustic model based on Hidden Markov Models (HMMs). A text corpus which was collected by ILPS, Informatics Institute, University of Amsterdam, was used to build a 40K-vocabulary dictionary and a n-gram language model.

## Dataset Usage

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

## Citation

```
@inproceedings{lestari2006titmlidn,
  title={A large vocabulary continuous speech recognition system for Indonesian language},
  author={Lestari, Dessi Puji and Iwano, Koji and Furui, Sadaoki},
  booktitle={15th Indonesian Scientific Conference in Japan Proceedings},
  pages={17--22},
  year={2006}
}
```

## License

For research purposes only. If you use this corpus, you have to cite (Lestari et al, 2006).

## Homepage

[http://research.nii.ac.jp/src/en/TITML-IDN.html](http://research.nii.ac.jp/src/en/TITML-IDN.html)

### NusaCatalogue

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