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Seeing voices and hearing faces: Cross-modal biometric matching

Abstract:

We introduce a seemingly impossible task: given only an audio clip of someone speaking, decide which of two face images is the speaker. In this paper we study this, and a number of related cross-modal tasks, aimed at answering the question: how much can we infer from the voice about the face and vice versa?


We study this task “in the wild”, employing the datasets that are now publicly available for face recognition from static images (VGGFace) and speaker identification from a...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/CVPR.2018.00879

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Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
Brasenose College
Role:
Author
Publisher:
Institute of Electrical and Electronics Engineers Publisher's website
Journal:
Conference on Computer Vision and Pattern Recognition (CVPR 2018) Journal website
Host title:
Conference on Computer Vision and Pattern Recognition (CVPR 2018)
Publication date:
2018-01-01
Acceptance date:
2018-02-28
DOI:
Source identifiers:
859553
Pubs id:
pubs:859553
UUID:
uuid:4bedaebc-10e0-45ac-909e-1e459d263265
Local pid:
pubs:859553
Deposit date:
2018-06-27

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