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+ INDspeech_NEWSTRA_EthnicSR is a collection of graphemically balanced and parallel speech corpora of four major Indonesian ethnic languages: Javanese, Sundanese, Balinese, and Bataks. It was developed in 2013 by the Nara Institute of Science and Technology (NAIST, Japan) [Sakti et al., 2013]. The data has been used to develop Indonesian ethnic speech recognition in supervised learning [Sakti et al., 2014] and semi-supervised learning [Novitasari et al., 2020] based on Machine Speech Chain framework [Tjandra et al., 2020].
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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{sakti-cocosda-2013,
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+ title = "Towards Language Preservation: Design and Collection of Graphemically Balanced and Parallel Speech Corpora of {I}ndonesian Ethnic Languages",
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+ author = "Sakti, Sakriani and Nakamura, Satoshi",
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+ booktitle = "Proc. Oriental COCOSDA",
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+ year = "2013",
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+ address = "Gurgaon, India"
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+ }
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+
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+ @inproceedings{sakti-sltu-2014,
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+ title = "Recent progress in developing grapheme-based speech recognition for {I}ndonesian ethnic languages: {J}avanese, {S}undanese, {B}alinese and {B}ataks",
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+ author = "Sakti, Sakriani and Nakamura, Satoshi",
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+ booktitle = "Proc. 4th Workshop on Spoken Language Technologies for Under-Resourced Languages (SLTU 2014)",
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+ year = "2014",
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+ pages = "46--52",
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+ address = "St. Petersburg, Russia"
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+ }
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+
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+ @inproceedings{novitasari-sltu-2020,
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+ title = "Cross-Lingual Machine Speech Chain for {J}avanese, {S}undanese, {B}alinese, and {B}ataks Speech Recognition and Synthesis",
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+ author = "Novitasari, Sashi and Tjandra, Andros and Sakti, Sakriani and Nakamura, Satoshi",
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+ booktitle = "Proc. Joint Workshop on Spoken Language Technologies for Under-resourced languages (SLTU) and Collaboration and Computing for Under-Resourced Languages (CCURL)",
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+ year = "2020",
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+ pages = "131--138",
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+ address = "Marseille, France"
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+ }
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+ ```
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+
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+ ## License
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+
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+ CC-BY-NC-SA 4.0
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+
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+ ## Homepage
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+
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+ ### NusaCatalogue
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+
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+ For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)