  We describe a system for large-scale audiovisual translation and dubbing,
which translates videos from one language to another. The source language's
speech content is transcribed to text, translated, and automatically
synthesized into target language speech using the original speaker's voice. The
visual content is translated by synthesizing lip movements for the speaker to
match the translated audio, creating a seamless audiovisual experience in the
target language. The audio and visual translation subsystems each contain a
large-scale generic synthesis model trained on thousands of hours of data in
the corresponding domain. These generic models are fine-tuned to a specific
speaker before translation, either using an auxiliary corpus of data from the
target speaker, or using the video to be translated itself as the input to the
fine-tuning process. This report gives an architectural overview of the full
system, as well as an in-depth discussion of the video dubbing component. The
role of the audio and text components in relation to the full system is
outlined, but their design is not discussed in detail. Translated and dubbed
demo videos generated using our system can be viewed at
https://www.youtube.com/playlist?list=PLSi232j2ZA6_1Exhof5vndzyfbxAhhEs5
