Objective
The SpeechXRays project will develop and test in real-life environments a user recognition platform based on voice acoustics analysis and audio-visual identity verification. SpeechXRays will outperform state-of-the-art solutions in the following areas:
· Security: high accuracy solution (cross over accuracy of 1/100 i.e. twice the commercial voice/face solutions)
· Privacy: biometric data stored in the device (or in a private cloud under the responsibility of the data subject)
· Usability: text-independent speaker identification (no pass phrase), low sensitivity to surrounding noise
· Cost-efficiency: use of standard embedded microphone and cameras (smartphones, laptops).
The project will combine and pilot two proven techniques: acoustic driven voice recognition (using acoustic rather than statistical only models) and multi-channel biometrics incorporating dynamic face recognition (machine vision analysis of speech, lip movement and face). The vision of the SpeechXRays project is to provide a solution combining the convenience and cost-effectiveness of voice biometrics, achieving better accuracies by combining it with video, and bringing superior anti-spoofing capabilities. The technology will be deployed on 2000 users in 3 pilots: a workforce use case, an eHealth use case and a consumer use case. The project lasts 36 months and is coordinated by world leader in digital security solutions for the mobility space.
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- medical and health scienceshealth scienceshealth care serviceseHealth
- natural sciencescomputer and information sciencesartificial intelligencecomputer visionfacial recognition
- natural sciencescomputer and information sciencescomputer securityaccess control
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsmobile phones
- social scienceseconomics and businessbusiness and managementemployment
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Programme(s)
Topic(s)
Call for proposal
(opens in new window) H2020-DS-2014-2015
See other projects for this callSub call
H2020-DS-2014-1
Funding Scheme
IA - Innovation actionCoordinator
92400 Courbevoie
France