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» Bi-Spectral Acoustic Features for Robust Speech Recognition
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CVPR
2004
IEEE
14 years 9 months ago
Asymmetrically Boosted HMM for Speech Reading
Speech reading, also known as lip reading, is aimed at extracting visual cues of lip and facial movements to aid in recognition of speech. The main hurdle for speech reading is th...
Pei Yin, Irfan A. Essa, James M. Rehg
LREC
2010
256views Education» more  LREC 2010»
13 years 9 months ago
WAPUSK20 - A Database for Robust Audiovisual Speech Recognition
Audiovisual speech recognition (AVSR) systems have been proven superior over audio-only speech recognizers in noisy environments by incorporating features of the visual modality. ...
Alexander Vorwerk, Xiaohui Wang, Dorothea Kolossa,...
ICASSP
2008
IEEE
14 years 1 months ago
Analysis-by-synthesis features for speech recognition
We present a framework for speech recognition that accounts for hidden articulatory information. We model the articulatory space using a codebook of articulatory configurations g...
Ziad Al Bawab, Bhiksha Raj, Richard M. Stern
INTERSPEECH
2010
13 years 2 months ago
Discriminative adaptation for log-linear acoustic models
Log-linear models have recently been used in acoustic modeling for speech recognition systems. This has been motivated by competitive results compared to systems based on Gaussian...
Jonas Lööf, Ralf Schlüter, Hermann ...
NOLISP
2007
Springer
14 years 1 months ago
Some Experiments in Audio-Visual Speech Processing
Abstract. Natural speech is produced by the vocal organs of a particular talker. The acoustic features of the speech signal must therefore be correlated with the movements of the a...
Gérard Chollet, R. Landais, Thomas Hueber, ...