Code-switching Speech Detection Method by Combination of Language and Acoustic Information
- 10.2991/iccia.2012.90How to use a DOI?
- code-switching speech, acoustic model, language identification, support vector machine
In this paper, we propose a new speech detection method to English-Mandarin code-switching speech. Unlike previous methods, in this method we first train a support vector machine (SVM) model based on feature parameters and Gaussian Mixture Model (GMM) , then integrate the language identification (LID) information based on SVM model and acoustic information into the decoding process. Lastly, we develop a prototype system to present the method. Experiments proved that our method we can improve the accurancy of code-switching speech recognition at a certain degree compared with previous methods.
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Hongji Zhang PY - 2014/05 DA - 2014/05 TI - Code-switching Speech Detection Method by Combination of Language and Acoustic Information BT - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012) PB - Atlantis Press SP - 372 EP - 375 SN - 1951-6851 UR - https://doi.org/10.2991/iccia.2012.90 DO - 10.2991/iccia.2012.90 ID - Zhang2014/05 ER -