Ulrik Kjems

Publication Activity (10 Years)

Years Active: 1995-2012
Publications (10 Years): 0

Top Topics

Covariance Matrices

Speech Enhancement

Maximum Likelihood

Hyperparameters

Top Venues

Publications

Ulrik Kjems, Jesper Jensen
Maximum likelihood based noise covariance matrix estimation for multi-microphone speech enhancement. EUSIPCO (2012)
Jesper Bünsow Boldt, Michael Syskind Pedersen, Ulrik Kjems, Mads Græsbøll Christensen, Søren Holdt Jensen
Error-correction of binary masks using hidden Markov models. ICASSP (2010)
Ulrik Kjems, Michael Syskind Pedersen, Jesper Bünsow Boldt, Thomas Lunner, DeLiang Wang
Speech intelligibility of ideal binary masked mixtures. EUSIPCO (2010)
Richard C. Hendriks, Richard Heusdens, Ulrik Kjems, Jesper Jensen
On Optimal Multichannel Mean-Squared Error Estimators for Speech Enhancement. IEEE Signal Process. Lett. 16 (10) (2009)
Cees H. Taal, Richard C. Hendriks, Richard Heusdens, Jesper Jensen, Ulrik Kjems
An evaluation of objective quality measures for speech intelligibility prediction. INTERSPEECH (2009)
Richard C. Hendriks, Richard Heusdens, Jesper Jensen, Ulrik Kjems
Low Complexity DFT-Domain Noise PSD Tracking Using High-Resolution Periodograms. EURASIP J. Adv. Signal Process. 2009 (2009)
Richard C. Hendriks, Richard Heusdens, Jesper Jensen, Ulrik Kjems
Fast noise PSD estimation with low complexity. ICASSP (2009)
Michael Syskind Pedersen, DeLiang Wang, Jan Larsen, Ulrik Kjems
Two-Microphone Separation of Speech Mixtures. IEEE Trans. Neural Networks 19 (3) (2008)
Michael Pedersen, DeLiang Wang, Jan Larsen, Ulrik Kjems
Separating Underdetermined Convolutive Speech Mixtures. ICA (2006)
Andreas Brinch Nielsen, Lars Kai Hansen, Ulrik Kjems
Pitch Based Sound Classification. ICASSP (3) (2006)
Michael Syskind Pedersen, Ulrik Kjems, Jan Larsen
On the difference between updating the mixing matrix and updating the separation matrix. ICASSP (5) (2005)
Michael Syskind Pedersen, Ulrik Kjems, Karsten Boye Rasmussen, Lars Kai Hansen
Semi-blind source separation using head-related transfer functions [speech signal separation]. ICASSP (5) (2004)
Ulrik Kjems, Lars Kai Hansen, Jon R. Anderson, Sally Frutiger, Suraj Muley, John J. Sidtis, David A. Rottenberg, Stephen C. Strother
The Quantitative Evaluation of Functional Neuroimaging Experiments: Mutual Information Learning Curves. NeuroImage 15 (4) (2002)
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
The Quantitative Evaluation of Functional Neuroimaging Experiments: The NPAIRS Data Analysis Framework. NeuroImage 15 (4) (2002)
Ulrik Kjems, Lars Kai Hansen, Stephen C. Strother
Generalizable Singular Value Decomposition for Ill-posed Datasets. NIPS (2000)
Lars Kai Hansen, Sigurdur Sigurdsson, Thomas Kolenda, Finn Årup Nielsen, Ulrik Kjems, Jan Larsen
Modeling text with generalizable Gaussian mixtures. ICASSP (2000)
Ulrik Kjems, Stephen C. Strother, Jon R. Anderson, Ian Law, Lars Kai Hansen
Enhancing the Multivariate Signal of [15O] water PET Studies with a New Non-Linear Neuroanatomical Registration Algorithm. IEEE Trans. Medical Imaging 18 (4) (1999)
Lars Kai Hansen, Lars Nonboe Andersen, Ulrik Kjems, Jan Larsen
Revisiting Boltzmann learning: parameter estimation in Markov random fields. ICASSP (1996)
Niels J. S. Mørch, Ulrik Kjems, Lars Kai Hansen, Claus Svarer, Ian Law, Benny Lautrup, Stephen C. Strother, Kelly Rehm
Visualization of neural networks using saliency maps. ICNN (1995)