@inproceedings{dda71f02e0264ec59947440c4d91bb31,
title = "Language identification by using syllable-based duration classification on code-switching speech",
abstract = "Many approaches to automatic spoken language identification (LID) on monolingual speech are successfully, but LID on the code-switching speech identifying at least 2 languages from one acoustic utterance challenges these approaches. In [6], we have successfully used one-pass approach to recognize the Chinese character on the Mandarin-Taiwanese code-switching speech. In this paper, we introduce a classification method (named syllable-based duration classification) based on three clues: recognized common tonal syllable tonal syllable, the corresponding duration and speech signal to identify specific language from code-switching speech. Experimental results show that the performance of the proposed LID approach on code-switching speech exhibits closely to that of parallel tonal syllable recognition LID system on monolingual speech.",
keywords = "Code-switching speech, Language identification",
author = "Lyu, {Dau Cheng} and Lyu, {Ren Yuan} and Chiang, {Yuang Chin} and Hsu, {Chun Nan}",
year = "2006",
doi = "10.1007/11939993_50",
language = "英语",
isbn = "3540496653",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "475--484",
booktitle = "Chinese Spoken Language Processing - 5th International Symposium, ISCSLP 2006, Proceedings",
note = "5th International Symposium on Chinese Spoken Language Processing, ISCSLP 2006 ; Conference date: 13-12-2006 Through 16-12-2006",
}