@inproceedings{6907c5599f964a11afb49746c3e9117f,
title = "Language identification in code-switching speech usingword-based lexical model",
abstract = "In this paper, a language identification (LID) task is described on Mandarin/Taiwanese code-switching utterances. The proposed word-based lexical model of this LID system integrates acoustic, phonetic and lexical cues. The first two cues are obtained from a large vocabulary continuous speech recognition (LVCSR) system, and the last one is trained for a word-based lexical model. The lexical model is used to identify languages according to the frequency and context of each word by given a sequence of words recognized by the LVCSR system. Because the switching unit in the code-switching speech is a word, the experiments showed that, by using a word-based lexical model, 16% relative reduction of classification errors was achieved compared with that in those LVCSR-basedLID systems.",
keywords = "Code-switching, Mandarin, Speech recognition, Taiwanese",
author = "Lyu, {Dau Cheng} and Zhu, {Cing Lei} and Lyu, {Ren Yuan} and Ko, {Ming Tat}",
year = "2010",
doi = "10.1109/ISCSLP.2010.5684483",
language = "英语",
isbn = "9781424462469",
series = "2010 7th International Symposium on Chinese Spoken Language Processing, ISCSLP 2010 - Proceedings",
pages = "460--464",
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",
}