Pre-Publication V2. A neural network-based process that is intended to synthesizes or modifies modify the facial movements of a human performer or synthetic character to match provided dialogue including audio, text, or phoneme sequences accounting for changes in language, wording, timing, and pace. Unlike earlier rule-based phoneme mapping approaches, modern implementations model the full orofacial region including jaw, cheek, chin, and neck dynamics, and may incorporate emotional expression and speech cadence for greater naturalism. Primary applications include localization and dubbing, automated dialogue replacement (ADR) assistance, and synthetic performance generation.
Deliberation Summary:
(1) Note that the entry read as weighted toward the technology and proposed removing the comparison with earlier rule-based approaches, both because it reads as too subjective and because it is an inaccurate description of the process. (2) Moved to intent-based phrasing for what the process does. (3) Proposed distinguishing an imitation of the conventional movements associated with emotional expression from an actual emotional expression. (4) Also proposed extending the reference beyond the face to overall body positioning.
Pre-Publication V1. A neural network-based process that synthesizes or modifies the facial movements of a human performer or synthetic character to match provided dialogue including audio, text, or phoneme sequences accounting for changes in language, wording, timing, and pace. Unlike earlier rule-based phoneme mapping approaches, modern implementations model the full orofacial region including jaw, cheek, chin, and neck dynamics, and may incorporate emotional expression and speech cadence for greater naturalism. Primary applications include localization and dubbing, automated dialogue replacement (ADR) assistance, and synthetic performance generation.