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» The limits of speech recognition
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ICPR
2006
IEEE
16 years 7 months ago
Detecting Coarticulation in Sign Language using Conditional Random Fields
Coarticulation is one of the important factors that makes automatic sign language recognition a hard problem. Unlike in speech recognition, coarticulation effects in sign language...
Ruiduo Yang, Sudeep Sarkar
ICPR
2010
IEEE
15 years 9 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
AMFG
2005
IEEE
183views Biometrics» more  AMFG 2005»
15 years 8 months ago
Robust Automatic Human Identification Using Face, Mouth, and Acoustic Information
Discriminatory information about person identity is multimodal. Yet, most person recognition systems are unimodal, e.g. the use of facial appearance. With a view to exploiting the ...
Niall A. Fox, Ralph Gross, Jeffrey F. Cohn, Richar...
ICASSP
2010
IEEE
15 years 6 months ago
Robust spectro-temporal features based on autoregressive models of Hilbert envelopes
In this paper, we present a robust spectro-temporal feature extraction technique using autoregressive models (AR) of sub-band Hilbert envelopes. AR models of Hilbert envelopes are...
Sriram Ganapathy, Samuel Thomas, Hynek Hermansky
UAIS
2008
185views more  UAIS 2008»
15 years 6 months ago
Facial movement analysis in ASL
In the age of speech and voice recognition technologies, sign language recognition is an essential part of ensuring equal access for deaf people. To date, sign language recognition...
Christian Vogler, Siome Goldenstein