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README.md

@@ -3,4 +3,32 @@ tags:
 - speech-recognition
 language:
 - ind
----
+---
+
+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
+
+### NusaCatalogue
+
+For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)