holylovenia
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README.md
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- speech-recognition
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language:
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- ind
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- speech-recognition
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language:
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- ind
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---
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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.
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## Dataset Usage
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Run `pip install nusacrowd` before loading the dataset through HuggingFace's `load_dataset`.
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## Citation
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```@inproceedings{lestari2006titmlidn,
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title={A large vocabulary continuous speech recognition system for Indonesian language},
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author={Lestari, Dessi Puji and Iwano, Koji and Furui, Sadaoki},
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booktitle={15th Indonesian Scientific Conference in Japan Proceedings},
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pages={17--22},
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year={2006}
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}
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```
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## License
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For research purposes only. If you use this corpus, you have to cite (Lestari et al, 2006).
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## Homepage
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### NusaCatalogue
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For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)
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