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- W92142206 abstract "This master thesis investigates automatic lip synchronization. It is a method for generating an animation of 3D human face model where the animation is driven only by a speech signal. The whole process is completely automatic and starts from the speech signal. The automatic lip synchronization consists of two main parts: audio to visual mapping and a face synthesis. The thesis proposes and implements a system for the automatic lip synchronization of synthetic 3D avatars based only on the speech input. The speech signal is classified into viseme classes using neural networks. The topology of neural networks is automatically configured using genetic algorithms. Visual representation of phonemes, viseme, defined in MPEG-4 FA, is used for face synthesis. The system is adopted for specificity of the Croatian language. Detailed system validation based on three different evaluation methods is done and potential applications of these technologies are discussed in details. This method is suitable for real-time and offline applications. It is speaker independent and multilingual." @default.
- W92142206 created "2016-06-24" @default.
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- W92142206 date "2005-10-21" @default.
- W92142206 modified "2023-09-26" @default.
- W92142206 title "Automatic lip synchronization by speech signal analysis" @default.
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