  We present a text-based tool for editing talking-head video that enables an
iterative editing workflow. On each iteration users can edit the wording of the
speech, further refine mouth motions if necessary to reduce artifacts and
manipulate non-verbal aspects of the performance by inserting mouth gestures
(e.g. a smile) or changing the overall performance style (e.g. energetic,
mumble). Our tool requires only 2-3 minutes of the target actor video and it
synthesizes the video for each iteration in about 40 seconds, allowing users to
quickly explore many editing possibilities as they iterate. Our approach is
based on two key ideas. (1) We develop a fast phoneme search algorithm that can
quickly identify phoneme-level subsequences of the source repository video that
best match a desired edit. This enables our fast iteration loop. (2) We
leverage a large repository of video of a source actor and develop a new
self-supervised neural retargeting technique for transferring the mouth motions
of the source actor to the target actor. This allows us to work with relatively
short target actor videos, making our approach applicable in many real-world
editing scenarios. Finally, our refinement and performance controls give users
the ability to further fine-tune the synthesized results.
