Luísa Coheur,

Inesc-ID

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


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