Project description
AI solutions for communicating needs of deaf people
Artificial intelligence opens new frontiers for knowledge on the needs of deaf people and for the creation of solutions to improve daily life. The EU-funded aiD project proposes an advanced innovation that aims to offer inclusive solutions to deaf people's communication necessities. The project will develop multi-modal, high-precision learning models and deep network compression techniques adaptable to mobile devices. It will test the innovation through pilot projects subjected to end-users' evaluations and will offer the participants a high level of scientific knowledge. The project aims at the development of advanced machine learning technologies applicable to commodity mobile devices to target the majority of potential end users.
Objective
aiD pursues cross-disciplinary breakthrough innovation that builds and extends upon the latest academic research advances. Its overarching goal is to offer a comprehensive suite of solutions catering to deaf people communication needs. aiD has the following objectives: 1) Create multi-modal, high-accuracy deep learning models for deaf/hearing people interactive communication. 2) Develop deep network compression techniques for scaling the developed models to mobile devices. 3) Implement application pilots of immense practical importance that will be evaluated by the end-users. 4) Promote global-scale excellence in science by supporting the Consortium partners to become leading experts in their field and transfer their acquired expertise to research institutions, companies and the public. Our considered pilots deal with realistic operating environments that allow for end-user engagement and a solid exploitation plan: (i) an AR news service; (ii) an Automated Relay Service for emergencies; and (iii) an Interactive Digital Tutor application. We pursue technological development on multiple technological frontiers: signal processing, signal perception and generation via advanced ML, creation of virtual SL signals in an AR environment, and scalability of the developed technologies on commodity mobile devices, accessible to the vast majority of potential users. To achieve these objectives, aiD implements an inter-sectorial secondment program for Experienced Researchers (ERs) and Early Stage Researchers (ESRs) that fosters knowledge exchange between academic experts and industrial leaders in bleeding-edge technological fields. The social significance and bleeding-edge nature of our endeavors has resulted in the aiD consortium having already attracted the strong interest and commitment of a number of important supporting institutions. These will provide: i) a large end-user base; ii) deep knowledge of deaf people needs; and iii) vast dissemination and exploitation avenues.
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.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering signal processing
- natural sciences computer and information sciences artificial intelligence machine learning deep learning
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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.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.3. - Stimulating innovation by means of cross-fertilisation of knowledge
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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-RISE - Marie Skłodowska-Curie Research and Innovation Staff Exchange (RISE)
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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-RISE-2019
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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.
3036 Lemesos
Cyprus
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.