Jalil Taghia
Doctoral Student
Sound and Image Processing Lab
Room A:625
Royal Institute of Technology (KTH)
Stockholm, Sweden
mailto: Jalil.Taghia [AT] ee.kth.se

phone: +46-8-790 7237

Biography

Jalil Taghia is a PhD student since September 2009 for the EU AUDIS project at KTH-Electrical Engineering/Sound? and Image processing Lab. His current research includes underdetermined blind source separation and single channel speech enhancement.


Research Interests

  • Speech Enhancement
  • Blind Source Separation
  • Noise Reduction Algorithms
  • Psychoacoustics

Publications

  • Jalal Taghia, Jalil Taghia, Nasser Mohammadiha, Jinqiu Sang, Vaclav Bouse, and Rainer Martin, An evaluation of noise power spectral density estimation algorithms in adverse acoustic environments, Accepted in proc. IEEE Int. Conference on Acoustics, Speech and Signal Processing (ICASSP), Prague, 2011.
  • Jalil Taghia and Mohammad Ali Doostari, "Subband-based single-channel source separation of instantaneous audio mixtures," World Applied Sciences Journal, 2009.
  • Jalil Taghia, M. A. Doostari, and Jalal Taghia, "Digital image watermarking based on bidimensional empirical mode decomposition," 2008 Congress on Image and Signal Processing CISP2008, IEEE, China, 2008.
  • Jalil Taghia, M. A. Doostari, "A new algorithm in blind source separation for high dimensional data sets such as MEG data," 14th Iranian Conference on Biomedical Engineering, Shahed University, 2008.
  • Jalal Taghia, Jalil Taghia, "One channel audio source separation of convolutive mixtures", International Joint Conferences on Computer, Information, system Sciences, Engineering, Springer, Bridgeport USA, 2008.

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