A Comprehensive Review and Taxonomy of Audio-Visual Synchronization Techniques for Realistic Speech Animation
Abstract
In many applications, synchronizing audio with visuals is crucial, such as in creating graphic animations for films or games, translating movie audio into different languages, and developing metaverse applications. This review explores various methodologies for achieving realistic facial animations from audio inputs, highlighting generative and adaptive models. Addressing challenges like model training costs, dataset availability, and silent moment distributions in audio data, it presents innovative solutions to enhance performance and realism. The research also introduces a new taxonomy to categorize audio-visual synchronization methods based on logistical aspects, advancing the capabilities of virtual assistants, gaming, and interactive digital media.
Cite
@article{arxiv.2407.17430,
title = {A Comprehensive Review and Taxonomy of Audio-Visual Synchronization Techniques for Realistic Speech Animation},
author = {Jose Geraldo Fernandes and Sinval Nascimento and Daniel Dominguete and André Oliveira and Lucas Rotsen and Gabriel Souza and David Brochero and Luiz Facury and Mateus Vilela and Hebert Costa and Frederico Coelho and Antônio P. Braga},
journal= {arXiv preprint arXiv:2407.17430},
year = {2024}
}