DocumentCode
2018444
Title
A study on Hakka and mixed Hakka-Mandarin speech recognition
Author
Tsai, Tsai-Lu ; Chiang, Chen-Yu ; Yu, Hsiu-Yu ; Lo, Lieh-Shih ; Wang, Yih-Ru ; Chen, Sin-Horng
Author_Institution
Inst. of Commun. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
fYear
2010
fDate
Nov. 29 2010-Dec. 3 2010
Firstpage
199
Lastpage
204
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.
Keywords
acoustics; language translation; natural language processing; speech processing; speech recognition; hakka Chinese word translation; hakka Mandarin acoustic model; hakka Mandarin speech recognition; language modeling; Hakka; Mandarin; acoustic model; language model; speech recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Chinese Spoken Language Processing (ISCSLP), 2010 7th International Symposium on
Conference_Location
Tainan
Print_ISBN
978-1-4244-6244-5
Type
conf
DOI
10.1109/ISCSLP.2010.5684913
Filename
5684913
Link To Document