Paper Info
Title
A study on Hakka and mixed Hakka-Mandarin speech recognition
Abstract
A first study on Hakka and mixed Hakka-Mandarin speech recognition (SR) is reported in this paper. The main focus of the study is on solving the problem of the lack of a large text corpus for training a reliable language model. In the Hakka SR, several methods to use the information of part of speech and Hakka-Chinese word translation to assist in language modeling are proposed. For mixed language SR, a method to train a mixed Hakka-Mandarin acoustic model is suggested. Experimental results show that the proposed language and acoustic modeling approaches are promising for Hakka and mixed Hakka-Mandarin SR.
Year
DOI
Venue
2010
10.1109/ISCSLP.2010.5684913
ISCSLP
Keywords
Field
DocType
speech processing,language modeling,speech recognition,acoustic model,language model,hakka mandarin speech recognition,language translation,hakka mandarin acoustic model,hakka,mandarin,natural language processing,hakka chinese word translation,acoustics,part of speech
Speech processing,Language translation,Computer science,Text corpus,Part of speech,Speech recognition,Natural language processing,Artificial intelligence,Language model,Mandarin Chinese,Acoustic model,Mixed language
Conference
ISBN
Citations 
PageRank 
978-1-4244-6244-5
2
0.42
References 
Authors
4
6
Name
Order
Citations
PageRank
Tsai-Lu Tsai120.42
Chen-Yu Chiang23111.55
Hsiu-Min Yu3112.80
Lieh-Shih Lo420.42
Yih-Ru Wang523734.68
Sin-Horng Chen627339.86