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Spoken Language Processing Group (TLP)

TC-STAR: Technology and Corpora for Speech to Speech Translation

Project summary:

The objective of the TC-STAR project is to significantly reduce the gap between human and machine performance for speech to speech translation (SST). The focus is on the development of new, possibly revolutionary, algorithms and methods, integrating relevant human knowledge which is available at translation time into a data-driven framework. Examples of such new approaches are the integration of linguistic knowledge in the statistical approach of spoken language translation, the statistical modelling of pronunciation of unconstrained conversational speech in automatic speech recognition, and new acoustic and prosodic models for generating expressive speech in synthesis. TC-STAR is planned for a duration of six years, which is the time needed for exploring and evaluating new approaches to SST, and for creating the infrastructure needed for accelerating the rate of progress in the field. The project has been divided in two phases of three years length. The first three years of the project's work-plan has been granted and is targeting a selection of unconstrained conversational speech domains - i.e. broadcast news and speeches - and a few languages relevant for Europe's society and economy: native and non native European English, European Spanish and Chinese. The second three years, will target more complex unconstrained conversational speech domains - i.e. meetings and social conversations - adding to the previous languages other relevant European languages.

Consortium:

Istituto Trentino di Cultura ITC – IRST(Tech. coord) Italy
RWTH Aachen – ISL Germany
CNRS – LIMSI France
Universitat Politècnica de Catalunya Spain
Universität Karlsruhe (TH) – IPD Germany
IBM Germany
Nokia Finland
Siemens Germany
SRIT France
Sony Germany
ELDA France
RU-SPEX Netherlands

For more information: TC-STAR WEB site

TC-STAR ASR working area (WP2)


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Last modified: Tuesday,13-December-05 02:32:05 CET