Vertex Technologies LLC
Leading AI solutions provider transforming businesses through innovation.
Leading AI solutions provider transforming businesses through innovation.
The Audio-Driven 3D Talking Avatar Prototype System is a deep learning-powered framework designed to create high-quality, expressive face animations from static images and audio files. By leveraging the SadTalker architecture, the system models 3D facial motion coefficients and applies them to a 2D input image, enabling the generation of a lifelike talking avatar that accurately lip-syncs to any provided speech.
Key challenges involved preserving facial identity and expression accuracy across diverse face types, as well as achieving precise lip synchronization for varied speech tempos and accents. Rendering smooth head movements and expressions without uncanny artifacts also required model fine-tuning and optimized post-processing.
The system utilized the SadTalker framework to extract 3D motion coefficients from audio signals and apply them to facial landmarks on the input image. Deep learning-based expression control was implemented using PyTorch and fine-tuned audio preprocessing using Librosa and ffmpeg ensured clean input for the motion model. The final output was rendered using OpenCV and ffmpeg pipelines for high-quality video generation.
The project enabled the automated creation of visually appealing and accurate talking avatars, reducing the need for manual animation or video recording. It demonstrated robust performance across different voice inputs and face types, and opened up creative use cases in digital content creation, education, and virtual entertainment.
