Publication

Abstract : Generating audio from visual scene is an extremely challenging yet useful task as it finds application in remote surveillance, comprehending speech for hearing impaired people, or in silent speech interface (SSI). Due to the recent advancements of deep neural network techniques, there have been considerable research effort toward speech reconstruction from silent videos or visual speech. In this survey paper, we review several recent papers in this area and make a comparative study in terms of their architectural models and accuracy achieved.