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» Articulatory features for robust visual speech recognition
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ICASSP
2009
IEEE
13 years 5 months ago
High improvement of speaker identification and verification by combining MFCC and phase information
In conventional speaker recognition methods based on MFCC, phase information has been ignored. We proposed a method that integrated the phase information with MFCC on a speaker id...
Longbiao Wang, Shinji Ohtsuka, Seiichi Nakagawa
PAA
2006
13 years 7 months ago
Audio-visual sports highlights extraction using Coupled Hidden Markov Models
We present our studies on the application of Coupled Hidden Markov Models(CHMMs) to sports highlights extraction from broadcast video using both audio and video information. First,...
Ziyou Xiong
ICASSP
2011
IEEE
12 years 11 months ago
An unconstrained method for lip detection in color images
The use of visual information derived from accurate lip extraction, can provide features invariant to noise perturbation for speech recognition systems and can be also used in a w...
Evangelos Skodras, Nikolaos D. Fakotakis
ICCV
2007
IEEE
14 years 9 months ago
Discriminant Embedding for Local Image Descriptors
Invariant feature descriptors such as SIFT and GLOH have been demonstrated to be very robust for image matching and visual recognition. However, such descriptors are generally par...
Gang Hua, Matthew Brown, Simon A. J. Winder
CIVR
2007
Springer
361views Image Analysis» more  CIVR 2007»
14 years 1 months ago
Interpretability based interest points detection
This paper deals with a new interest points detector. Unlike most standard detectors which concentrate on the local shape of the signal, the main objective of this new operator is...
Ahmed Rebai, Alexis Joly, Nozha Boujemaa