Mandarin-English Code-switching Speech Recognition

被引：0
|
作者：
Xu, Haihua [1 ]
Van Tung Pham [1 ,2 ]
Kyaw, Zin Tun [2 ]
Lim, Zhi Hao [1 ]
Chng, Eng Siong [1 ,2 ]
Li, Haizhou [3 ]
机构：
[1] Nanyang Technol Univ, Temasek Labs, Singapore, Singapore
[2] Nanyang Technol Univ, Sch Comp Sci & Engn, Singapore, Singapore
[3] Natl Univ Singapore, Dept Elect & Comp Engn, Singapore, Singapore
来源：
19TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2018), VOLS 1-6: SPEECH RESEARCH FOR EMERGING MARKETS IN MULTILINGUAL SOCIETIES | 2018年
关键词：
code-switch speech recognition; phone sets; context-aware language model; TDNN;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This work presents the development of a Mandarin-English code-switching speech recognition system. We demonstrate three key novelties in our system. First, we increase our lexicon coverage to 360K words, where phone sets of different languages are maintained separately. Secondly, we used over 1000 hours of training data combining both mono-lingual and code-switch corpus to develop the acoustic model. Finally, for language modelling, we applied context-aware text normalization and word-class language model. When testing on our internal code-switch close talk microphone recording, the system achieves recognition performance that can support real applications.
引用
收藏
页码：554 / 555
页数：2
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