| 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) |