作者: Christoph Bregler , Stephen M. Omohundro , Jianbo Shi , Yochai Konig
DOI: 10.1007/978-3-662-13015-5_31
关键词: Nonlinear dimensionality reduction 、 Connectionism 、 Artificial neural network 、 Hidden Markov model 、 Hybrid system 、 Classifier (UML) 、 Speech recognition 、 Computer science 、 Dialog system 、 Speechreading
摘要: We describe a hybrid speechreading system that is based on Manifold Learning technique, Neural Networks, and Hidden Markov Models. technique for representing learning smooth nonlinear lowdimensional surfaces embedded in highdimensional abstract feature spaces. The capable of determining the structure surface finding closest manifold point to given query point. use this learn “space lips”. learned used tracking extracting lips, interpolating between frames an image sequence providing features recognition. lip manifold, connectionist phone classifier, Models significantly improves performance acoustic speech recognizers degraded environments. also present preliminary results purely visual reader work progress new face technique.