Virtual Immortality: Reanimating characters from TV shows
Proof of concept Computer Science research from the University of Leeds can re-caption audio and visual material; In this project, the system was trained on the full catalogue of TV show ‘Friends’:
The objective of this work is to build virtual talking avatars of characters fully automatically from TV shows. From this unconstrained data, we show how to capture a character’s style of speech, visual appearance and language in an effort to construct an interactive avatar of the person and effectively immortalize them in a computational model. We make three contributions (i) a complete framework for producing a generative model of the audiovisual and language of characters from TV shows; (ii) a novel method for aligning transcripts to video using the audio; and (iii) a fast audio segmentation system for silencing non-spoken audio from TV shows. Our framework is demonstrated using all 236 episodes from the TV series Friends (97hrs of video) and shown to generate novel sentences as well as character specific speech and video.
