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In this paper, we formulate a novel task to synthesize speech in sync with asilent pre-recorded video, denoted as automatic voice over (AVO). Unliketraditional speech synthesis, AVO seeks to generate not only human-soundingspeech, but also perfect lip-speech synchronization. A natural solution to AVOis to condition the speech rendering on the temporal progression of lipsequence in the video. We propose a novel text-to-speech model that isconditioned on visual input, named VisualTTS, for accurate lip-speechsynchronization. The proposed VisualTTS adopts two novel mechanisms that are 1)textual-visual attention, and 2) visual fusion strategy during acousticdecoding, which both contribute to forming accurate alignment between the inputtext content and lip motion in input lip sequence. Experimental results showthat VisualTTS achieves accurate lip-speech synchronization and outperforms allbaseline systems.

VisualTTS: TTS with Accurate Lip-Speech Synchronization for Automatic Voice Over