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127
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ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
In this paper, we propose a novel method for rapid feature space Maximum Likelihood Linear Regression (FMLLR) speaker adaptation based on bilinear models. When the amount of adapt...
104
Voted
ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
In this study, we propose increasing discriminative power on the maximum a posteriori (MAP)-based mapping function estimation for acoustic model adaptation. Based on the effective...
120
Voted
ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
This paper describes subspace constrained feature space maximum likelihood linear regression (FMLLR) for rapid adaptation. The test speaker’s FMLLR rotation matrix is decomposed...
176
Voted
SIGMOD
2006
ACM
16 years 1 months ago
2006
ACM
Adaptive query processing has been the subject of a great deal of recent work, particularly in emerging data management environments such as data integration and data streams. We ...
98
Voted
ICASSP
2009
IEEE
15 years 7 months ago
2009
IEEE
We provide a time domain analysis of the robustness and stability performance for coupled adaptive algorithms of gradient type. The considered coupling may occur inherently as wel...