Visemes are used as an method to the basic animation parameters in estimating visual similarities between different phonemes.

Performance of real-time lip sync animation is an approach to perform a virtual computer generated character, which synchronizes an accurate lip movement and sound in live. A research on performing lip synching animation in real time is conducted and a framework is designed for development of automated digital speech system. movement and sounds that are synchronized. Therefore, the creation of lip sync animation is particularly challenging in mapping the lip animation. Drawings, clay puppets and computer meshed avatar do not talk, so when the characters are required to say something, their dialogue has to be recorded and analysed first before keyframe and animate them speaking. Lip synchronization is a technical term for matching lip movements with sound. Variations from the former are explained in terms of the addition of minimal phonetic redundancy. The results tend to support previously published linguistic groupings of homophenous sounds rather than the classical listing from the developers of speechreading methodology. Resulting confusion matrices were analyzed for significant confusions among consonants these confusions were grouped into mutually exclusive classes termed visemes. Subjects were not aware of the deletion of correct responses even after the task was completed. Correct answers as possible responses were deleted to provide a usable number of confusions. The Multiple-choice Intelligibility Test provided stimulus items but special response sheets were provided to allow each subject a possible response of any consonant judged homotypical or homorganic to the stimulus item.

It contributes to live performances and valuable in open-ended field with tons of potential, such as animation production industry, entertainment, gaming, digital marketing and media education.Įighteen college students with normal hearing responded to the visual perception of initial and final consonants in an English-like phonetic environment in a test of the homopheny of consonant sounds of English. This paper provides useful knowledge for multilingual solution which accurately predicts mouth movement on real human face, when a person is speaking and directs to lip sync process. The findings revealed successful utilization of real time synchronization to drive the synthetic 3D avatars based on live speech input for multiple languages, with satisfied accurate lip motion result. The accuracy performance between human and avatar in real time were compared and evaluated. Consequently, a comprehensive analysis on viseme based multiple phonemes in English, Bahasa Melayu and Mandarin was carried out, to develop an accurate and potential platform for real time talking avatar in multiple languages. To note, spending hours in manually generating every single lip movement can be a long and challenging task. In lip sync animation, creation of realistic lip movement is arduous in getting the lip shape and position to synchronize with the speech sounds. With the fast growth in computing power nowadays, the qualities of animation enable an extra layer of visually convincing realism.

Automatic lip sync adobe animate