DocumentCode :
1506962
Title :
Research Opportunities In Automatic Speech-To-Speech Translation
Author :
Stuker, Sebastian ; Herrmann, Thomas ; Kolss, M. ; Niehues, J. ; Wolfel, Matthias
Author_Institution :
Fak. fur Inf., Univ. Karlsruhe, Karlsruhe, Germany
Volume :
31
Issue :
3
fYear :
2012
Firstpage :
26
Lastpage :
33
Abstract :
The field of speech-to-speech translation is a "well-established area of research that has a noteworthy tradition. It addresses a problem-the communication between people and the access to information across languages-that is of high relevance in today\´s globalized world. By contributing to the field, recent graduates in electrical engineering and computer science can make significant contributions to a challenging technical field. At the same time, their "work has a highly valuable impact on human interaction and is advancing society on its "way to becoming a multilingual worldwide community. The plentitude and diversity of current research projects depicted in this article demonstrates that this field of research is very active. Ongoing projects receive significant funding and attention by the public and are backed and initiated by governments worldwide. As shown, the activities in research communities happen at an international scale and projects can be found in many countries around the globe. The combination of these projects and the current and future research topics that we have outlined give graduates an ideal environment for performing challenging and interesting research. By pursuing a career in this field of research, young engineers and scientists are given the opportunity to make an impact on the future development of this area by advancing the state-of-the-art of automatic speech-to- speech translation systems.
Keywords :
human computer interaction; language translation; linguistics; speech processing; automatic speech-to-speech translation system; human interaction; multilingual worldwide community; Automatic speech recognition; Cultural differences; Globalization; Hidden Markov models; Human factors; Speech processing;
fLanguage :
English
Journal_Title :
Potentials, IEEE
Publisher :
ieee
ISSN :
0278-6648
Type :
jour
DOI :
10.1109/MPOT.2011.2178192
Filename :
6193308
Link To Document :
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