Objective
Audio-visual speech recognition refers to the problem of recognizing speech using both audio and video information. Speech is not a purely auditory process but the way that the listener perceives it is also through the recognition of the visual patterns associated with the mouth movement. This correlation of the audio-visual information has been occasionally explored in literature in order to develop more robust automatic speech recognition systems for cases in which the auditory environment is noisy (e.g. background noise, multiple speakers). However, the problem of audio-visual speech recognition has been mainly studied in controlled, laboratory conditions. TalkingHeads proposes, for the first time, the problem of audio-visual speech recognition in unconstrained (in-the-wild) videos collected from real-world multimedia databases and a set of methodologies that will work well under the assumed in-the-wild setting.
TalkingHeads brings together a talented but experienced researcher (ER) with expertise in speech analysis (diarization and recognition) and the Supervisor with large research experience in Computer Vision for face analysis in-the-wild (recognition, detection, alignment and tracking, and facial expression analysis). TalkingHeads will establish the ER as an independent and internationally recognized researcher in the area of audio-visual fusion and speech recognition. Through TalkingHeads’ achievable work plan, the ER will attain a high level of research maturity by (a) complementing his expertise on speech analysis through extensive training in Computer Vision, (b) conducting research on a challenging research problem (audio-visual speech recognition in-the-wild) with significant career opportunities in both the academia and the industry, (c) publishing at high impact factor conferences and journals, (d) establishing a network of research collaborators, and (e) enhancing personal skills (e.g. supervisory experience, leadership and management skills).
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 computer and information sciences databases
- social sciences law law enforcement
- natural sciences computer and information sciences artificial intelligence computer vision
- engineering and technology electrical engineering, electronic engineering, information engineering information engineering telecommunications mobile phones
- natural sciences computer and information sciences artificial intelligence machine learning deep learning
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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.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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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-IF-EF-ST - Standard EF
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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-IF-2015
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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.
NG7 2RD Nottingham
United Kingdom
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.