  Speech generation for machine dubbing adds complexity to conventional
Text-To-Speech solutions as the generated output is required to match the
expressiveness, emotion and speaking rate of the source content. Capturing and
transferring details and variations in prosody is a challenge. We introduce
phrase-level cross-lingual prosody transfer for expressive multi-lingual
machine dubbing. The proposed phrase-level prosody transfer delivers a
significant 6.2% MUSHRA score increase over a baseline with utterance-level
global prosody transfer, thereby closing the gap between the baseline and
expressive human dubbing by 23.2%, while preserving intelligibility of the
synthesised speech.
