The viewer is disabled because this dataset repo requires arbitrary Python code execution. Please consider removing the loading script and relying on automated data support (you can use convert_to_parquet from the datasets library). If this is not possible, please open a discussion for direct help.

INDspeech_NEWS_TTS

INDspeech_NEWS_TTS is a speech dataset for developing an Indonesian text-to-speech synthesis system. The data was developed by Advanced Telecommunication Research Institute International (ATR) Japan under the 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-tts-cocosda-2008,
    title = "Development of HMM-based Indonesian Speech Synthesis",
    author = "Sakti, Sakriani and Maia, Ranniery and Sakai, Shinsuke and Nakamura, Satoshi",
    booktitle = "Proc. Oriental COCOSDA",
    year = "2008",
    pages = "215--220"
    address = "Kyoto, Japan"
}

@inproceedings{sakti-tts-malindo-2010,
    title = "Quality and Intelligibility Assessment of Indonesian HMM-Based Speech Synthesis System",
    author = "Sakti, Sakriani and Sakai, Shinsuke and Isotani, Ryosuke and Kawai, Hisashi and Nakamura, Satoshi",
    booktitle = "Proc. MALINDO",
    year = "2010",
    pages = "51--57"
    address = "Jakarta, Indonesia"
}

@article{sakti-s2st-csl-2013,
    title = "{A-STAR}: Toward Tranlating 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_tts

NusaCatalogue

For easy indexing and metadata: https://indonlp.github.io/nusa-catalogue

Downloads last month
0
Edit dataset card