Ulrik Kjems

19 papers A 1Misc 4Journal 6Unranked 8
YearRankTypeTitle / Venue / Authors
2012 — conf
Maximum likelihood based noise covariance matrix estimation for multi-microphone speech enhancement.
EUSIPCO
Ulrik Kjems, Jesper Jensen
2010 Misc conf
Error-correction of binary masks using hidden Markov models.
ICASSP
Jesper Bünsow Boldt, Michael Syskind Pedersen, Ulrik Kjems, Mads Græsbøll Christensen, Søren Holdt Jensen
2010 — conf
Speech intelligibility of ideal binary masked mixtures.
EUSIPCO
Ulrik Kjems, Michael Syskind Pedersen, Jesper Bünsow Boldt, Thomas Lunner, DeLiang Wang
2009 A conf
An evaluation of objective quality measures for speech intelligibility prediction.
INTERSPEECH
Cees H. Taal, Richard C. Hendriks, Richard Heusdens, Jesper Jensen, Ulrik Kjems
2009 Misc conf
Fast noise PSD estimation with low complexity.
ICASSP
Richard C. Hendriks, Richard Heusdens, Jesper Jensen, Ulrik Kjems
2009 J jnl
Low Complexity DFT-Domain Noise PSD Tracking Using High-Resolution Periodograms.
EURASIP J. Adv. Signal Process.
Richard C. Hendriks, Richard Heusdens, Jesper Jensen, Ulrik Kjems
2009 J jnl
On Optimal Multichannel Mean-Squared Error Estimators for Speech Enhancement.
IEEE Signal Process. Lett.
Richard C. Hendriks, Richard Heusdens, Ulrik Kjems, Jesper Jensen
2008 J jnl
Two-Microphone Separation of Speech Mixtures.
IEEE Trans. Neural Networks
Michael Syskind Pedersen, DeLiang Wang, Jan Larsen, Ulrik Kjems
2006 — conf
Pitch Based Sound Classification.
ICASSP (3)
Andreas Brinch Nielsen, Lars Kai Hansen, Ulrik Kjems
2006 — conf
Separating Underdetermined Convolutive Speech Mixtures.
ICA
Michael Pedersen, DeLiang Wang, Jan Larsen, Ulrik Kjems
2005 — conf
On the difference between updating the mixing matrix and updating the separation matrix.
ICASSP (5)
Michael Syskind Pedersen, Ulrik Kjems, Jan Larsen
2004 — conf
Semi-blind source separation using head-related transfer functions [speech signal separation].
ICASSP (5)
Michael Syskind Pedersen, Ulrik Kjems, Karsten Boye Rasmussen, Lars Kai Hansen
2002 J jnl
The Quantitative Evaluation of Functional Neuroimaging Experiments: Mutual Information Learning Curves.
NeuroImage
Ulrik Kjems, Lars Kai Hansen, Jon R. Anderson, Sally Frutiger, Suraj Muley, John J. Sidtis, David A. Rottenberg, Stephen C. Strother
2002 J jnl
The Quantitative Evaluation of Functional Neuroimaging Experiments: The NPAIRS Data Analysis Framework.
NeuroImage
Stephen C. Strother, Jon R. Anderson, Lars Kai Hansen, Ulrik Kjems, Rafal Kustra, John J. Sidtis, Sally Frutiger, Suraj Muley, Stephen LaConte, David A. Rottenberg
2000 — conf
Generalizable Singular Value Decomposition for Ill-posed Datasets.
NIPS
Ulrik Kjems, Lars Kai Hansen, Stephen C. Strother
2000 Misc conf
Modeling text with generalizable Gaussian mixtures.
ICASSP
Lars Kai Hansen, Sigurdur Sigurdsson, Thomas Kolenda, Finn Årup Nielsen, Ulrik Kjems, Jan Larsen
1999 J jnl
Enhancing the Multivariate Signal of [15O] water PET Studies with a New Non-Linear Neuroanatomical Registration Algorithm.
IEEE Trans. Medical Imaging
Ulrik Kjems, Stephen C. Strother, Jon R. Anderson, Ian Law, Lars Kai Hansen
1996 Misc conf
Revisiting Boltzmann learning: parameter estimation in Markov random fields.
ICASSP
Lars Kai Hansen, Lars Nonboe Andersen, Ulrik Kjems, Jan Larsen
1995 — conf
Visualization of neural networks using saliency maps.
ICNN
Niels J. S. Mørch, Ulrik Kjems, Lars Kai Hansen, Claus Svarer, Ian Law, Benny Lautrup, Stephen C. Strother, Kelly Rehm