PT-STAR – Speech Translation Advanced Research to and from Portuguese
Luísa Coheur,
R – INESC-ID Lisboa –
Abstract:
Every year more than a billion Euros is spent translating documents and interpreting speeches by European institutions. Also, about half of the Europeans speak only its own language. Just these two facts per se are a strong motivation for the fostering of Speech-to-Speech Machine Translation (S2SMT) technologies, which aim at enabling natural language communication between people that do not share the same language.
S2SMT can be seen as a cascade of three major components: Automatic Speech Recognition, Machine Translation and Text-to-Speech Synthesis. One of the main problems of this multidisciplinary area, however, is the still weak integration between the three components. Hence the main goal of PT-STAR is to improve speech translation systems for Portuguese by strengthening this integration.
During this talk we will present the main achievements within PT-STAR project until now and we will show a real time demo.
Date: 2011-Nov-04 Time: 15:00:00 Room: 020
For more information:
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David Posada, University of Vigo (class)
João Alves, University of Vigo (hands-on)
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The 13th Lisbon Machine Learning School | LxMLS 2023
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