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» Signal approximation using the bilinear transform
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ICASSP
2011
IEEE
12 years 11 months ago
Non-linear noise compensation for robust speech recognition using Gauss-Newton method
In this paper, we present the Gauss-Newton method as a unified approach to optimizing non-linear noise compensation models, such as vector Taylor series (VTS), data-driven parall...
Yong Zhao, Biing-Hwang Juang
ICASSP
2009
IEEE
14 years 2 months ago
Extended VTS for noise-robust speech recognition
Model compensation is a standard way of improving the robustness of speech recognition systems to noise. A number of popular schemes are based on vector Taylor series (vts) compen...
Rogier C. van Dalen, Mark J. F. Gales
ICASSP
2011
IEEE
12 years 11 months ago
Estimation of the frequency dependent reverberation time by means of warped filter-banks
An improved approach for the estimation of the frequency dependent reverberation time (RT) by means of allpass transformed filterbanks is presented. It is shown that by means of ...
Heinrich W. Löllmann, Peter Vary
CIMAGING
2009
145views Hardware» more  CIMAGING 2009»
13 years 8 months ago
Wavelet-based Poisson rate estimation using the Skellam distribution
Owing to the stochastic nature of discrete processes such as photon counts in imaging, real-world data measurements often exhibit heteroscedastic behavior. In particular, time ser...
Keigo Hirakawa, Farhan A. Baqai, Patrick J. Wolfe
ICPR
2002
IEEE
14 years 18 days ago
Feasibility of Hough-Transform-Based Iris Localisation for Real-Time-Application
We present a fast method for locating iris features in frontal face images based on the Hough transform. It consists of an initial iris detection step and a tracking step which us...
Klaus D. Tönnies, Frank Behrens, Melanie Aurn...