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» Articulatory features for robust visual speech recognition
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ICMI
2004
Springer
263views Biometrics» more  ICMI 2004»
14 years 26 days ago
Analysis of emotion recognition using facial expressions, speech and multimodal information
The interaction between human beings and computers will be more natural if computers are able to perceive and respond to human non-verbal communication such as emotions. Although ...
Carlos Busso, Zhigang Deng, Serdar Yildirim, Murta...
SGAI
2004
Springer
14 years 25 days ago
Interactive Selection of Visual Features through Reinforcement Learning
We introduce a new class of Reinforcement Learning algorithms designed to operate in perceptual spaces containing images. They work by classifying the percepts using a computer vi...
Sébastien Jodogne, Justus H. Piater
ICANN
2005
Springer
14 years 1 months ago
Learning Features of Intermediate Complexity for the Recognition of Biological Motion
Humans can recognize biological motion from strongly impoverished stimuli, like point-light displays. Although the neural mechanism underlying this robust perceptual process have n...
Rodrigo Sigala, Thomas Serre, Tomaso Poggio, Marti...
ICMI
2007
Springer
161views Biometrics» more  ICMI 2007»
14 years 1 months ago
Detecting communication errors from visual cues during the system's conversational turn
Automatic detection of communication errors in conversational systems has been explored extensively in the speech community. However, most previous studies have used only acoustic...
Sy Bor Wang, David Demirdjian, Trevor Darrell
ICPR
2010
IEEE
13 years 10 months ago
Crossmodal Matching of Speakers Using Lip and Voice Features in Temporally Non-Overlapping Audio and Video Streams
Person identification using audio (speech) and visual (facial appearance, static or dynamic) modalities, either independently or jointly, is a thoroughly investigated problem in pa...
Anindya Roy, Sebastien Marcel