Jalil Taghia
Jalil Taghia
Ericsson Research
Verified email at ericsson.com
Cited by
Cited by
Bayesian estimation of Dirichlet mixture model with variational inference
Z Ma, PK Rana, J Taghia, M Flierl, A Leijon
Pattern Recognition 47 (9), 3143-3157, 2014
Uncovering hidden brain state dynamics that regulate performance and decision-making during cognition
J Taghia, W Cai, S Ryali, J Kochalka, J Nicholas, T Chen, V Menon
Nature communications 9 (1), 1-19, 2018
An evaluation of noise power spectral density estimation algorithms in adverse acoustic environments
J Taghia, J Taghia, N Mohammadiha, J Sang, V Bouse, R Martin
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International†…, 2011
Bayesian estimation of the von-Mises Fisher mixture model with variational inference
J Taghia, Z Ma, A Leijon
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014
Single channel speech enhancement using Bayesian NMF with recursive temporal updates of prior distributions
N Mohammadiha, J Taghia, A Leijon
2012 IEEE International Conference on Acoustics, Speech and Signal†…, 2012
Bayesian switching factor analysis for estimating time-varying functional connectivity in fMRI
J Taghia, S Ryali, T Chen, K Supekar, W Cai, V Menon
Neuroimage 155, 271-290, 2017
Insights into multiple/single lower bound approximation for extended variational inference in non-Gaussian structured data modeling
Z Ma, J Xie, Y Lai, J Taghia, JH Xue, J Guo
IEEE transactions on neural networks and learning systems 31 (7), 2240-2254, 2019
An image watermarking method based on bidimensional empirical mode decomposition
J Taghia, MA Doostari, J Taghia
2008 Congress on Image and Signal Processing 5, 674-678, 2008
Variational inference for Watson mixture model
J Taghia, A Leijon
IEEE transactions on pattern analysis and machine intelligence 38 (9), 1886-1900, 2015
A variational Bayes approach to the underdetermined blind source separation with automatic determination of the number of sources
J Taghia, N Mohammadiha, A Leijon
2012 IEEE International Conference on Acoustics, Speech and Signal†…, 2012
Probabilistic multiview depth image enhancement using variational inference
PK Rana, J Taghia, Z Ma, M Flierl
IEEE Journal of Selected Topics in Signal Processing 9 (3), 435-448, 2014
The NIGENS general sound events database
I Trowitzsch, J Taghia, Y Kashef, K Obermayer
arXiv preprint arXiv:1902.08314, 2019
Line spectral frequencies modeling by a mixture of von Mises–Fisher distributions
Z Ma, J Taghia, WB Kleijn, A Leijon, J Guo
Signal Processing 114, 219-224, 2015
Multiview depth map enhancement by variational Bayes inference estimation of Dirichlet mixture models
PK Rana, Z Ma, J Taghia, M Flierl
2013 IEEE International Conference on Acoustics, Speech and Signal†…, 2013
On von-mises fisher mixture model in text-independent speaker identification.
J Taghia, Z Ma, A Leijon
INTERSPEECH, 2499-2503, 2013
Comparisons of non-gaussian statistical models in DNA methylation analysis
Z Ma, AE Teschendorff, H Yu, J Taghia, J Guo
International journal of molecular sciences 15 (6), 10835-10854, 2014
Sparsity level in a non-negative matrix factorization based speech strategy in cochlear implants
H Hu, N Mohammadiha, J Taghia, A Leijon, ME Lutman, S Wang
2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO†…, 2012
Subband-based single-channel source separation of instantaneous audio mixtures
J Taghia, MA Doostari
World Applied Sciences Journal 6 (6), 784-792, 2009
Dual-channel noise reduction based on a mixture of circular-symmetric complex Gaussians on unit hypersphere
J Taghia, R Martin, A Taghia, Jalil, Leijon
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International†…, 2013
A variational Bayesian inference framework for multiview depth image enhancement
PK Rana, J Taghia, M Flierl
2012 IEEE International Symposium on Multimedia, 183-190, 2012
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