Ulrik Kjems

According to our database, Ulrik Kjems authored at least 19 papers between 1995 and 2012.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2012

Maximum likelihood based noise covariance matrix estimation for multi-microphone speech enhancement.

Ulrik Kjems, Jesper Jensen

Proceedings of the 20th European Signal Processing Conference, 2012

2010

Error-correction of binary masks using hidden Markov models.

Jesper Bünsow Boldt, Michael Syskind Pedersen, Ulrik Kjems, Mads Græsbøll Christensen, Søren Holdt Jensen

Proceedings of the IEEE International Conference on Acoustics, 2010

Speech intelligibility of ideal binary masked mixtures.

Ulrik Kjems, Michael Syskind Pedersen, Jesper Bünsow Boldt, Thomas Lunner, DeLiang Wang

Proceedings of the 18th European Signal Processing Conference, 2010

2009

On Optimal Multichannel Mean-Squared Error Estimators for Speech Enhancement.

Richard C. Hendriks, Richard Heusdens, Ulrik Kjems, Jesper Jensen

IEEE Signal Process. Lett., 2009

Low Complexity DFT-Domain Noise PSD Tracking Using High-Resolution Periodograms.

Richard C. Hendriks, Richard Heusdens, Jesper Jensen, Ulrik Kjems

EURASIP J. Adv. Signal Process., 2009

An evaluation of objective quality measures for speech intelligibility prediction.

Cees H. Taal, Richard C. Hendriks, Richard Heusdens, Jesper Jensen, Ulrik Kjems

Proceedings of the INTERSPEECH 2009, 2009

Fast noise PSD estimation with low complexity.

Richard C. Hendriks, Richard Heusdens, Jesper Jensen, Ulrik Kjems

Proceedings of the IEEE International Conference on Acoustics, 2009

2008

Two-Microphone Separation of Speech Mixtures.

Michael Syskind Pedersen, DeLiang Wang, Jan Larsen, Ulrik Kjems

IEEE Trans. Neural Networks, 2008

2006

Pitch Based Sound Classification.

Andreas Brinch Nielsen, Lars Kai Hansen, Ulrik Kjems

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Separating Underdetermined Convolutive Speech Mixtures.

Michael Pedersen, DeLiang Wang, Jan Larsen, Ulrik Kjems

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

2005

On the difference between updating the mixing matrix and updating the separation matrix.

Michael Syskind Pedersen, Ulrik Kjems, Jan Larsen

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004

Semi-blind source separation using head-related transfer functions [speech signal separation].

Michael Syskind Pedersen, Ulrik Kjems, Karsten Boye Rasmussen, Lars Kai Hansen

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2002

The Quantitative Evaluation of Functional Neuroimaging Experiments: The NPAIRS Data Analysis Framework.

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

NeuroImage, 2002

The Quantitative Evaluation of Functional Neuroimaging Experiments: Mutual Information Learning Curves.

Ulrik Kjems, Lars Kai Hansen, Jon R. Anderson, Sally Frutiger, Suraj Muley, John J. Sidtis, David A. Rottenberg, Stephen C. Strother

NeuroImage, 2002

2000

Generalizable Singular Value Decomposition for Ill-posed Datasets.

Ulrik Kjems, Lars Kai Hansen, Stephen C. Strother

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Modeling text with generalizable Gaussian mixtures.

Lars Kai Hansen, Sigurdur Sigurdsson, Thomas Kolenda, Finn Årup Nielsen, Ulrik Kjems, Jan Larsen

Proceedings of the IEEE International Conference on Acoustics, 2000

1999

Enhancing the Multivariate Signal of [15O] water PET Studies with a New Non-Linear Neuroanatomical Registration Algorithm.

Ulrik Kjems, Stephen C. Strother, Jon R. Anderson, Ian Law, Lars Kai Hansen

IEEE Trans. Medical Imaging, 1999

1996

Revisiting Boltzmann learning: parameter estimation in Markov random fields.

Lars Kai Hansen, Lars Nonboe Andersen, Ulrik Kjems, Jan Larsen

Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

1995

Visualization of neural networks using saliency maps.

Niels J. S. Mørch, Ulrik Kjems, Lars Kai Hansen, Claus Svarer, Ian Law, Benny Lautrup, Stephen C. Strother, Kelly Rehm

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995