Lip‑Sync Generation

Another project focused on synchronizing mouth movements in video with arbitrary audio. Lip synchronization (lip‑sync) aligns the movement of a character’s mouth with the corresponding speech; traditionally this requires manual animation. AI‑based lip‑sync tools simplify the process by mapping audio features to mouth movements so that static images or pre‑recorded video frames can be turned into speaking avatars. As described in an overview of open‑source lip‑sync generators, the essence of lip sync is ensuring that mouth shapes correspond with the spoken sounds, transforming static images into believable speaking videos. State‑of‑the‑art models combine audio‑to‑mouth synthesis with generative adversarial training, producing realistic lip‑sync animations that closely match spoken words. We implemented and fine‑tuned similar architectures on our dataset, enabling high‑quality lip‑sync for multilingual audio. Outcome: Our lip‑sync system produces convincing facial animations that match the rhythm and articulation of the input audio. This capability is valuable for dubbing, virtual characters, and interactive media. The project highlighted the potential of combining audio processing with computer vision to automate labour‑intensive animation tasks.