Audio-Visual Unit Selection for the Synthesis of Photo-Realistic Talking-Heads

This paper investigates audio-visual unit selection for the synthesis of photo-realistic, speech-synchronized talking-head animations. These animations are synthesized from recorded video samples of a subject speaking in front of a camera, resulting in a photo-realistic appearance. The lip-synchronization is obtained by optimally selecting and concatenating variable-length video units of the mouth area. Synthesizing a new speech animation from these recorded units starts with audio speech and its phonetic annotation from a text-to-speech synthesizer. Then, optimal image units are selected from the recorded set using a Viterbi search through a graph of candidate image units. Costs are attached to the nodes and arcs of the graph that are computed from similarities in both the acoustic and visual domain. While acoustic similarities are computed by simple phonetic matching, visual similarities are estimated using a hierarchical metric that uses high-level features (position and sizes of facial parts) and low-level features (projection of the image pixels on principal components of the database). This method preserves coarticulation and temporal coherence, producing smooth, lipsynched animations. Once the database has been prepared, this system can produce animations from ascii text fully automatically.