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[1905.09773] Speech2Face: Learning the Face Behind a Voice

From the free PDF:

"When we listen to a person speaking without seeing his/her
face, on the phone, or on the radio, we often build a mental
model for the way the person looks [25, 45]. There is a strong
connection between speech and appearance, part of which is
a direct result of the mechanics of speech production: age,
gender (which affects the pitch of our voice), the shape of the
mouth, facial bone structure, thin or full lips—all can affect
the sound we generate. In addition, other voice-appearance
correlations stem from the way in which we talk: language,
accent, speed, pronunciations—such properties of speech
are often shared among nationalities and cultures, which can
in turn translate to common physical features [12].
Our goal in this work is to study to what extent we can
infer how a person looks from the way they talk. Specifically,
from a short input audio segment of a person speaking, our
method directly reconstructs an image of the person’s face
in a canonical form (i.e., frontal-facing, neutral expression).
Fig. 1 shows sample results of our method. Obviously, there
is no one-to-one matching between faces and voices. Thus,
our goal is not to predict a recognizable image of the exact
face, but rather to capture dominant facial traits of the person
that are correlated with the input speech."
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3 days ago by dandv
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