HKUST Library Institutional Repository Banner

HKUST Institutional Repository >
Electronic and Computer Engineering  >
ECE Conference Papers >

Please use this identifier to cite or link to this item:
Title: Dealing with multilinguality in a spoken language query translator
Authors: Fung, Pascale N.
Shi, Bertram
Wu, Dekai
Lam, Wai Bun
Wong, Shuen Kong
Keywords: Spoken language tranalation
Hidden Markov models
Issue Date: 1997
Citation: Proceedings ACL/EACL '97 workshop on spoken language translation, Madrid, Spain, 7-12 July 1997, p. 40-47
Abstract: In this paper, we examine three issues concerning the robustness of multilingual speech interfaces for spoken language translation systems: accent differences, mixed language input, and the use of common feature sets for HMM-based speech recognizers for English and Cantonese. From the results of our preliminary experiments, we find that accent difference causes recognizers performance to degrade. For mixed language input, we found out that a straight forward implementation of a mixed language model-based speech recognizer performs less well than the concatenation of pure language recognizers due to the increase in recognition candidate numbers. Finally, our experimental results show that the Cantonese recognizer has a lower recognition rate on the average than the English recognizer despite a common feature set, parameter set, and common algorithm.
Appears in Collections:ECE Conference Papers

Files in This Item:

File Description SizeFormat
slt97camera1.pdf256KbAdobe PDFView/Open

All items in this Repository are protected by copyright, with all rights reserved.