@inproceedings{7f78ea790aec419aaff346d9313cd3c2,
title = "A study on Hakka and mixed Hakka-Mandarin speech recognition",
abstract = "A first study on Hakka and mixed Hakka-Mandarin speech recognition (SR) is reported in this paper. The main focus of the study is on solving the problem of the lack of a large text corpus for training a reliable language model. In the Hakka SR, several methods to use the information of part of speech and Hakka-Chinese word translation to assist in language modeling are proposed. For mixed language SR, a method to train a mixed Hakka-Mandarin acoustic model is suggested. Experimental results show that the proposed language and acoustic modeling approaches are promising for Hakka and mixed Hakka-Mandarin SR.",
keywords = "Acoustic model, Hakka, Language model, Mandarin, Speech recognition",
author = "Tsai, {Tsai Lu} and Chiang, {Chen Yu} and Yu, {Hsiu Min} and Lieh-Shih Lo and Yih-Ru Wang and Sin-Horng Chen",
year = "2010",
month = dec,
day = "1",
doi = "10.1109/ISCSLP.2010.5684913",
language = "English",
isbn = "9781424462469",
series = "2010 7th International Symposium on Chinese Spoken Language Processing, ISCSLP 2010 - Proceedings",
pages = "199--204",
booktitle = "2010 7th International Symposium on Chinese Spoken Language Processing, ISCSLP 2010 - Proceedings",
note = "2010 7th International Symposium on Chinese Spoken Language Processing, ISCSLP 2010 ; Conference date: 29-11-2010 Through 03-12-2010",
}