Spoken language translation using hidden Markov models
75 p.
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2011
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sg-ntu-dr.10356-468232023-07-04T16:02:54Z Spoken language translation using hidden Markov models Wang, Peng. Foo Say Wei School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering 75 p. In this project, a speaker independent Spoken Language Translation (SLT) system is designed. The main purpose of the system is to recognize a small database of isolated words in daily use. The whole system can be divided to two basic modules: training module and recognition module. Master of Science (Signal Processing) 2011-12-23T09:58:35Z 2011-12-23T09:58:35Z 2010 2010 Thesis http://hdl.handle.net/10356/46823 Nanyang Technological University application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering Wang, Peng. Spoken language translation using hidden Markov models |
description |
75 p. |
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Foo Say Wei |
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Foo Say Wei Wang, Peng. |
format |
Theses and Dissertations |
author |
Wang, Peng. |
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Wang, Peng. |
title |
Spoken language translation using hidden Markov models |
title_short |
Spoken language translation using hidden Markov models |
title_full |
Spoken language translation using hidden Markov models |
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Spoken language translation using hidden Markov models |
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Spoken language translation using hidden Markov models |
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spoken language translation using hidden markov models |
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2011 |
url |
http://hdl.handle.net/10356/46823 |
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1772826264884740096 |