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Mocaplab makes motion capture.

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It's a complicated term.

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Simply put, we are movement engineers,

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as there are sound engineers,
we record, we edit,

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and we restore movement
as a sound engineer

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records sound,
edits and replays it.

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We record,

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we edit and restore movement.

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We do this for cinema,
video games, VR, sports, dancing.

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Now we are going to do it for LSF.

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Sign language is exciting to work with.

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It's a very fine, very rich matter.

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We use it to communicate, so it's one
of the most beautiful movement to study.

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First, you have to record it.
It's complicated.

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We need to record the finger movement

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that's very fine-motion.

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Hands are very complicated
to record. It's very subtle.

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So we had to record the quality

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of the hand movement,
but also the face,

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whose deaf people use
enormously, the eyes, the body,

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and record it in a very fine way,
and all in parallel,

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because the hands have shapes,
the body moves, the face too.

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It's kind of a multi-track record

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of what a deaf can produce
in sign language.

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And then we're going to create
a bunch of little samples

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of movements all over the place
to recombine them

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and make it an avatar
that signs pretty well.

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Recombining all these movements
is not easy.

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From this multitrack,

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you have to mix all the movements

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to be fluid, coherent.

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It's a big part of the job.

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We had to develop a tool
to record LSF very finely.

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It took 10 years, but now we have
a tool that records.

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We record corpora,

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a lot of little examples
of sign language,

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our partners mix them,
and we have to resynthesize them

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to make a sentence in sign language
that is fluid

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at all levels.

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And because it's full of different
tracks and timelines,

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we developed this tool
to mix them again.

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And then LSF experts give their feedback
to improve the tool.

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Then we'll evaluate
the quality of the result

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and ask the deaf what they think.

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It's kind of like voice synthesis
a long time ago.

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The first one was complicated,
hard, even unpleasant.

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But it was transmitting information.

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We wonder if the deaf

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will be happy with what we provide
or if they'll be disappointed

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if the result is not very fluid

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or not respecting their language well.

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It's this first feedback
that's the main expectation of the project

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that will allow us, hopefully,
to continue to improve the tool,

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even though having a fluid,
perfect sign language,

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is a long-term job.

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SYSTRAN