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Multi-channel biometrics combining acoustic and machine vision analysis of speech, lip movement and face

Objetivo

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.

Ámbito científico (EuroSciVoc)

Palabras clave

Programa(s)

Tema(s)

Régimen de financiación

IA - Innovation action

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Convocatoria de propuestas

(se abrirá en una nueva ventana) H2020-DS-2014-2015

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Coordinador

IDEMIA FRANCE
Aportación neta de la UEn
€ 831 791,73
Dirección
2 PLACE SAMUEL DE CHAMPLAIN
92400 Courbevoie
Francia
Región
Ile-de-France Ile-de-France Hauts-de-Seine
Tipo de actividad
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Enlaces
Coste total
€ 1 419 523,93

Participantes (12)