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indspeech_news_lvcsr
This is the first Indonesian speech dataset for large vocabulary continuous speech recognition (LVCSR) with more than 40 hours of speech and 400 speakers [Sakti et al., 2008]. R&D Division of PT Telekomunikasi Indonesia (TELKOMRisTI) developed the data in 2005-2006, in collaboration with Advanced Telecommunication Research Institute International (ATR) Japan, as the continuation of the Asia-Pacific Telecommunity (APT) project [Sakti et al., 2004]. It has also been successfully used for developing Indonesian LVCSR in the Asian speech translation advanced research (A-STAR) project [Sakti et al., 2013].
Dataset Usage
Run pip install nusacrowd
before loading the dataset through HuggingFace's load_dataset
.
Citation
@inproceedings{sakti-tcast-2008,
title = "Development of {I}ndonesian Large Vocabulary Continuous Speech Recognition System within {A-STAR} Project",
author = "Sakti, Sakriani and Kelana, Eka and Riza, Hammam and Sakai, Shinsuke and Markov, Konstantin and Nakamura, Satoshi",
booktitle = "Proc. IJCNLP Workshop on Technologies and Corpora for Asia-Pacific Speech Translation (TCAST)",
year = "2008",
pages = "19--24"
address = "Hyderabad, India"
}
@inproceedings{sakti-icslp-2004,
title = "Indonesian Speech Recognition for Hearing and Speaking Impaired People",
author = "Sakti, Sakriani and Hutagaol, Paulus and Arman, Arry Akhmad and Nakamura, Satoshi",
booktitle = "Proc. International Conference on Spoken Language Processing (INTERSPEECH - ICSLP)",
year = "2004",
pages = "1037--1040"
address = "Jeju Island, Korea"
}
@article{sakti-s2st-csl-2013,
title = "{A-STAR}: Toward Translating Asian Spoken Languages",
author = "Sakti, Sakriani and Paul, Michael and Finch, Andrew and Sakai, Shinsuke and Thang, Tat Vu, and Kimura, Noriyuki and Hori, Chiori and Sumita, Eiichiro and Nakamura, Satoshi and Park, Jun and Wutiwiwatchai, Chai and Xu, Bo and Riza, Hammam and Arora, Karunesh and Luong, Chi Mai and Li, Haizhou",
journal = "Special issue on Speech-to-Speech Translation, Computer Speech and Language Journal",
volume = "27",
number ="2",
pages = "509--527",
year = "2013",
publisher = "Elsevier"
}
License
CC BY-NC-SA 4.0
Homepage
https://github.com/s-sakti/data_indsp_news_lvcsr
NusaCatalogue
For easy indexing and metadata: https://indonlp.github.io/nusa-catalogue
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