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Content archived on 2024-05-29

Adaptive and Meaning Machines

Objective

The "Adaptive and Meaning Machines" project aims at advancing the science of human-machine spoken communication. In state-of-the-art systems, machines have been designed either with a-priori handcrafted knowledge or trained on "frozen" statistical models. This is a strong constraint, given the on-line nature of human-machine dialog, which requires on-time feedback and not predefined user-independent approach. In this project the team leader plans to build a highly skilled research team that will build from state-of-the-art research technology in Spoken Dialog Systems (SDS) and bring innovation to human-machine communication by defining and inventing algorithms for on-line decoding of acoustic and language models for speech recognition and understanding.

The project will include theoretical and experimental research work as well as an instantiation of a research SDS prototype that will be used as a vehicle for training, testing and evaluating the speech and language processing algorithms that will be investigated. The project will involve interdisciplinary work that will span from signal processing to computer science to machine learning.

Fields of science (EuroSciVoc)

Keywords

Topic(s)

Call for proposal

FP6-2004-MOBILITY-8
See other projects for this call

Funding Scheme

EXT - Marie Curie actions-Grants for Excellent Teams

Coordinator

UNIVERSITA' DEGLI STUDI DI TRENTO
EU contribution
No data
Total cost
No data