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INTERSPEECH
2010
13 years 3 months ago
HMM adaptation using linear spline interpolation with integrated spline parameter training for robust speech recognition
We recently proposed a method for HMM adaptation to noisy environments called Linear Spline Interpolation (LSI). LSI uses linear spline regression to model the relationship betwee...
Michael L. Seltzer, Alex Acero
TSP
2010
13 years 3 months ago
Noisy data and impulse response estimation
Abstract--This paper investigates the impulse response estimation of linear time-invariant (LTI) systems when only noisy finitelength input-output data of the system is available. ...
Soosan Beheshti, Munther A. Dahleh
ITIIS
2008
80views more  ITIIS 2008»
13 years 8 months ago
A Composite LMMSE Channel Estimator for Spectrum-Efficient OFDM Transmit Diversity
In this paper, we propose a subcarrier allocation method and a composite linear minimum mean square error (LMMSE) channel estimator to increase spectrum efficiency in orthogonal f...
Jeong-Wook Seo, Won-Gi Jeon, Jong-Ho Paik, Minho J...
EMNLP
2008
13 years 10 months ago
Lattice-based Minimum Error Rate Training for Statistical Machine Translation
Minimum Error Rate Training (MERT) is an effective means to estimate the feature function weights of a linear model such that an automated evaluation criterion for measuring syste...
Wolfgang Macherey, Franz Josef Och, Ignacio Thayer...
ICASSP
2011
IEEE
13 years 10 days ago
Convex relaxation approaches to maximum likelihood DOA estimation in ULA's and UCA's with unknown mutual coupling
Direction of arrival (DOA) estimation using sensor array superresolution techniques are known to suffer from array modeling errors including array element displacements, mutual co...
Kehu Yang, Shu Cai, Zhi-Quan Luo