Title
Bilingual acoustic modeling with state mapping and three-stage adaptation for transcribing unbalanced code-mixed lectures
Abstract
This paper presents a bilingual acoustic modeling approach for transcribing Mandarin-English code-mixed lectures with highly unbalanced language distribution. Special terminologies for the content were produced in the guest language of English (about 15%) and embedded in the utterances produced in the host language of Mandarin (about 85%). The code-mixing nature of the target corpus and the very small percentage of the English data made the task difficult. State mapping and merging approaches plus three stages of model adaptation handles the above problem. Significant improvements in recognition accuracy were obtained in the experiment with a real bilingual code-mixed lecture corpus recorded at National Taiwan University. The code-mixing situation considered is actually very natural in the spoken language of the daily lives of many people in the globalized world today.
Year
DOI
Venue
2011
10.1109/ICASSP.2011.5947484
ICASSP
Keywords
DocType
ISSN
three-stage adaptation,bilingual acoustic modeling,recognition accuracy,speech processing,acoustic modeling,speech recognition,mandarin-english code-mixed lectures,state mapping,adaptation,code-mixing,transcribing unbalanced code-mixed lectures,bilingual,lecture,silicon,switches
Conference
1520-6149 E-ISBN : 978-1-4577-0537-3
ISBN
Citations 
PageRank 
978-1-4577-0537-3
7
0.50
References 
Authors
6
4
Name
Order
Citations
PageRank
Ching-feng Yeh1716.88
Liang-Che Sun2363.43
Chao-Yu Huang3373.01
Lin-shan Lee41525182.03