@inproceedings{f1ed4890cfb74509b8367b9c50957a10,
title = "Building MEDISCO: Indonesian Speech Corpus for Medical Domain",
abstract = "In this paper we report our work of building MEDISCO: Medical Indonesian Speech Corpus. The medical text corpus is collected from five Indonesian online medical consultation websites. From the text corpus, we created a speech corpus that consists of 360 sentences read by 13 speakers. In total, our speech corpus contains 731 medical terms and consists of 4,680 utterances with total duration 10 hours.",
keywords = "Indonesian Automatic Speech Recognition, Medical Speech Corpus, Text Corpus",
author = "Qorib, {Muhammad Reza} and Mirna Adriani",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 22nd International Conference on Asian Language Processing, IALP 2018 ; Conference date: 15-11-2018 Through 17-11-2018",
year = "2018",
month = jul,
day = "2",
doi = "10.1109/IALP.2018.8629259",
language = "English",
series = "Proceedings of the 2018 International Conference on Asian Language Processing, IALP 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "133--138",
editor = "Minghui Dong and Moch. Bijaksana and Herry Sujaini and Negara, {Arif Bijaksana Putra} and Ade Romadhony and Ruskanda, {Fariska Z.} and Elvira Nurfadhilah and Aini, {Lyla Ruslana}",
booktitle = "Proceedings of the 2018 International Conference on Asian Language Processing, IALP 2018",
address = "United States",
}