Open AccessReview Paper on “Real time Speech-Driven Facial Animation Using GANs”
Author(s) -
Manasi Kshirsagar,
Bhagyashree B Hoite,
Prashika Sonawane,
Pooja Malpure
Publication year - 2021
Publication title -
international journal of advanced research in science, communication and technology
Language(s) - English
Resource type - Journals
ISSN - 2581-9429
DOI - 10.48175/ijarsct-989
Subject(s) - computer science , computer facial animation , animation , speech recognition , artificial intelligence , synchronizing , face (sociological concept) , classifier (uml) , character (mathematics) , computer vision , computer animation , computer graphics (images) , telecommunications , social science , geometry , mathematics , transmission (telecommunications) , sociology
Speech driven facial animation can be regarded as a speech-to-face translation. Speech driven facial motion synthesis involves Speech analysis and face modeling. This method makes use of still image of a person and speech signals to produce an animation of a talking character. Our method makes use of GAN classifier to obtain better lip synchronizing with audio. GAN methodology also helps to obtain realistic facial expressions thereby making a talking character more effective. Factors such as lip-syncing accuracy, sharpness, and ability to create high -quality faces and natural blinks are taken into consideration by this system. GANs are mainly used in case of image generation as adversarial loss generates sharper and more depictive images. Along with images, GANs can also handle videos easily.