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» Normalized Training for HMM-Based Visual Speech Recognition
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ICASSP
2011
IEEE
13 years 4 days ago
Rapid joint speaker and noise compensation for robust speech recognition
For speech recognition, mismatches between training and testing for speaker and noise are normally handled separately. The work presented in this paper aims at jointly applying sp...
K. K. Chin, Haitian Xu, Mark J. F. Gales, Catherin...
TASLP
2002
124views more  TASLP 2002»
13 years 8 months ago
A robust compensation strategy for extraneous acoustic variations in spontaneous speech recognition
In this paper, we propose a robust compensation strategy to deal effectively with extraneous acoustic variations for spontaneous speech recognition. This strategy extends speaker a...
Hui Jiang, Li Deng
LREC
2010
256views Education» more  LREC 2010»
13 years 10 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,...
TSD
2007
Springer
14 years 2 months ago
Inter-speaker Synchronization in Audiovisual Database for Lip-Readable Speech to Animation Conversion
The present study proposes an inter-speaker audiovisual synchronization method to decrease the speaker dependency of our direct speech to animation conversion system. Our aim is to...
Gergely Feldhoffer, Balázs Oroszi, Gyö...
CVPR
2012
IEEE
11 years 11 months ago
Robust Boltzmann Machines for recognition and denoising
While Boltzmann Machines have been successful at unsupervised learning and density modeling of images and speech data, they can be very sensitive to noise in the data. In this pap...
Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hi...