Speechreading by Humans and Machines

Speechreading by Humans.- Psychology of Human Speechreading.- Word Recognition in Speechreading.- Children with Hearing Loss: Speechreading Skills.- Differences in Visual Intelligibility Across Talkers.- The Use of Auditory and Visual Information in Phonetic Perception.- Bimodal Speech Perception: A Progress Report.- Auditory-Visual Speech Perception as a Direct Process: The McGurk Effect in Infants and Across Languages.- Seeing Brains Reading Speech: A Review and Speculations.- Perception of Conflicting Audio-Visual Speech: an Examination across Spanish and German.- Audio-Visual Speech Perception Without Speech Cues: A First Report.- Perception of Synthetic Visual Speech.- Homopheneity in speechreading: Effects of phonemic equivalence classes on the structure of the lexicon.- Aspects of Modality in Audio-Visual Processes.- Exploiting sensor fusion architectures and stimuli complementarity in AV speech recognition.- Does movement on the lips mean movement in the mind?.- The Dynamics of Audiovisual Behavior in Speech.- Where and When are the Heard and Seen Speech Integrated: Magnetoencephalographical (MEG) Studies.- Multiphasic Analysis of the Basic Nature of Speechreading.- How can coarticulation models account for speech sensitivity to audio-visual desynchronization?.- Working Memory and Speechreading.- Encoding of Visual Speaker Attributes and Recognition Memory for Spoken Words.- A Study of the Semantic Memory Access by Perceptual Modalities with a Semantic Priming Experiment.- Lips and Jaw Movements for Vowels and Consonants: Spatio-Temporal Characteristics and Bimodal Recognition Applications.- Which components of the face do humans and machines best speechread?.- Speechreading by Machines.- Visionary Speech: Looking Ahead to Practical Speechreading Systems.- Talking Heads and Speech Recognisers That Can See: The Computer Processing of Visual Speech Signals.- Automatic Speechreading using dynamic contours.- Active Shape Models for Visual Speech Feature

David G. Stork is Chief Scientist at Ricoh Innovations and Consulting Professor of Electrical Engineering at Stanford University. A graduate of MIT and the University of Maryland, he is the founder and leader of the Open Mind Initiative.