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» TRAP-Based Techniques for Recognition of Noisy Speech
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ICASSP
2011
IEEE
12 years 11 months ago
Maximum likelihood adaptation of histogram equalization with constraint for robust speech recognition
In this paper, we propose a novel feature space adaptation technique to improve the robustness of speech recognition in noisy environments. Histogram equalization (HEQ) is an effe...
Xiong Xiao, Jinyu Li, Engsiong Chng, Haizhou Li
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,...
TASLP
2008
154views more  TASLP 2008»
13 years 7 months ago
Capturing Local Variability for Speaker Normalization in Speech Recognition
The new model reduces the impact of local spectral and temporal variability by estimating a finite set of spectral and temporal warping factors which are applied to speech at the f...
Antonio Miguel, Eduardo Lleida, Richard Rose, Luis...
DAGM
2008
Springer
13 years 9 months ago
Switching Linear Dynamic Models for Noise Robust In-Car Speech Recognition
Performance of speech recognition systems strongly degrades in the presence of background noise, like the driving noise in the interior of a car. We compare two different Kalman fi...
Björn Schuller, Martin Wöllmer, Tobias M...
IEEEIAS
2009
IEEE
14 years 2 months ago
Privacy Protection for Speech Information
—Ubiquitous network society will be achieved soon. In the society, all electronic equipments including “sensors” are connected to the network and communicate each other to sh...
Kazumasa Yamamoto, Seiichi Nakagawa