Project description
The language of our brains
Language sciences are moving away from individually-administered protocols towards the characterisation of how spoken language is jointly used by two or more talkers as a shared set of resources for interacting with each other. The EU-funded COBRA project will train the next generation of researchers to accurately characterise and model the linguistic and cognitive brain mechanisms that allow conversation to unfold in both human-human and human-machine interactions. The first challenge will be to determine how alignment and prediction may both rely on and contribute to setting up brain-to-brain coupling relationships. The second will relate to the development of computational models of alignment and prediction for more socially-acceptable text-to-speech synthesisers, human-machine dialogue systems, and social robots.
Objective
COBRA aims to train the next generation of researchers to accurately characterize and model the linguistic, cognitive and brain mechanisms deployed by human speakers in conversational interactions with human interlocutors as well as artificial dialog systems. It relies on a cross-sectoral international network of 11 world-level academic research centers and 4 non-academic partners with 3 fast-developing SMEs and 1 world-level company. The partners' unique combined expertise and high complementarity will allow COBRA to offer 15 ESRs an excellent training programme as well as strong exposure to the non-academic sector in the emerging field of conversational brains. Training will cover scientific and technical skills, from the joint monitoring of brain and physiological activities in two or more people talking to each other to making multi-language databases, resources and findings available in open access, as well as transferable skills. The ESRs will conduct experimental and corpus studies on the alignment and prediction processes that make conversation between people both easy and fluent, across a large variety of communicational settings and in different languages, to better understand how these processes contribute to setting up brain-to-brain coupling relationships. Collaborative work with non-academic partners will foster the development of more effective and socially acceptable text-to-speech synthesizers, artificial dialogue systems, and social humanoid robots with high-level conversational skills. The project will open new career perspectives for ESRs with interdisciplinary training in language sciences, neuroscience and dialog systems on a very fast-growing digital market. COBRA’s training programme will also have major societal implications as it will concern aspects of the European citizens’ everyday life, from spoken interactions with machines to conversing in a non-native language.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences biological sciences neurobiology
- humanities languages and literature linguistics
- natural sciences computer and information sciences databases
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
-
H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
See all projects funded under this programme -
H2020-EU.1.3.1. - Fostering new skills by means of excellent initial training of researchers
See all projects funded under this programme
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-ITN - Marie Skłodowska-Curie Innovative Training Networks (ITN)
See all projects funded under this funding scheme
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-ITN-2019
See all projects funded under this callCoordinator
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
13284 Marseille
France
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.