Paper Info
Title
Developing Client-Server Speech Translation Platform
Abstract
This paper describes a client-server speech translation platform designed for use at mobile terminals. Because terminals and servers are connected via a 3G public mobile phone networks, speech translation services are available at various places with thin client. This platform realizes hands-free communication and robustness for real use of speech translation in noisy environments. A microphone array and new noise suppression technique improves speech recognition performance, and a corpus-based approach enables wide coverage, robustness and portability to new languages and domains. The experimental result for evaluating the communicability of speakers of different languages shows that task completion rates using the speech translation system of 85% and 75% are achieved for Japanese- English and Japanese-Chinese, respectively. The system also has the ability to convey approximately one item of information per 2 utterances (one turn) on average for both Japanese-English and Japanese-Chinese in a task-oriented dialogue.
Year
DOI
Venue
2006
10.1109/MDM.2006.70
MDM
Keywords
Field
DocType
client-server speech translation,new noise suppression technique,speech recognition performance,public mobile phone network,mobile terminal,client-server speech translation platform,speech translation service,new language,speech translation,speech translation system,real use,engines,client server,hidden markov models,speech processing,speech synthesis,speech recognition,natural languages
Speech processing,Speech synthesis,Computer science,Voice activity detection,Server,Speech recognition,Natural language,Speech translation,Thin client,Client–server model
Conference
ISSN
ISBN
Citations 
1551-6245
0-7695-2526-1
0
PageRank 
References 
Authors
0.34
11
7
Name
Order
Citations
PageRank
Tohru Shimizu15712.85
Yutaka Ashikari222.08
Toshiyuki Takezawa349174.19
Masahide Mizushima460.96
Gen-ichiro Kikui530533.43
Yutaka Sasaki6241.63
Satoshi Nakamura7595.47