Prof. Sharon Gannot

I received my B.Sc. degree (summa cum laude) from the Technion-Israel Institute of Technology, Haifa, Israel in 1986 and the M.Sc. (cum laude) and Ph.D. degrees from Tel-Aviv University, Israel in 1995 and 2000, respectively, all in electrical engineering. In 2001 I held a post-doctoral position at the department of Electrical Engineering (ESAT-SISTA) at K.U.Leuven, Belgium.

From 2002 to 2SharonGannot003 I held a research and teaching position at the Faculty of Electrical Engineering, Technion-Israel Institute of Technology, Haifa, Israel. Currently, I am a Professor at the Faculty of Engineering, Bar-Ilan University, Israel. I am the recipient of Bar-Ilan University outstanding lecturer award for 2010 and 2014 and the Rector of Bar-Ilan University Research Innovation award for the year 2018.

From April 2018, I am appointed as a part-time Professor at the Technical Faculty of IT and Design, Aalborg University, Denmark.
I am heading the Speech and Signal Processing laboratories at the Faculty of Engineering at Bar-Ilan and the Signal Processing Track. The unique  Speech & Acoustics Lab, characterized by controllable reverberation time and equipped with state-of-the-art multi-channel transmission and acquisition and measurement capabilities, was inaugurated in 2009. Database of impulse responses recorded in the lab is available.

I have served as an Associate Editor of the EURASIP Journal of Advances in Signal Processing in 2003–2012, and as an Editor of several special issues on multi-microphone speech processing of the same journal. I have also served as a Guest Editor of the ELSEVIER Speech Communication and Signal Processing journals. I have served as an Associate Editor of the IEEE Transactions on Audio, Speech, and Language Processing in 2009–2013, and a Senior Area Chair for the same journal 2013-2017. Currently, I serve as a moderator for arXiv in the field of audio and speech processing. I am also the Lead Guest Editor of the IEEE Journal on Selected  Topics in Signal Processing, Special Issue on Acoustic Source Localization and Tracking in Dynamic Real-life Scenes.

I am a member of the Audio and Acoustic Signal Processing (AASP) Technical Committee of the IEEE since Jan., 2010, and serve as the Committee Chair since Jan., 2017. I am also a member of the Special Area Team on Acoustic, Speech and Music Signal Processing of the European Association on Signal Processing (EURASIP). I am also a member of the Technical and Steering committee of the International Workshop on Acoustic Signal Enhancement (IWAENC) since 2005 and was the general co-chair of  IWAENC 2010 held in Tel-Aviv, Israel in August 2010. I have also served as the general co-chair of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) held in October 2013, in New Paltz, NY, USA.

Currently, I serve as a Technical Co-Chair, the international conference on Latent Variable Analysis and Signal Separation, LVA/ICA, University of Surrey, Guildford, UK, July 2018.

I was selected to present tutorial sessions at the International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2012, European Signal Processing Conference (EUSIPCO) 2012, ICASSP 2013 and EUSIPCO 2013, and keynote addresses at IWAENC 2012 Aachen Germany, LVA/ICA 2017 Grenoble France, and the 13th ITG conference on Speech Communication, Oldenburg, Germany in October, 2018.

Sharon Gannot CV S Gannot 8-11-18

My research interests include statistical signal processing, statistical inference  and machine learning with applications to speech processing. In particular:

  1.  Single microphone speech enhancement and source separation.
  2. Array processing techniques for source localization and acquisition and noise reduction. Application to speech enhancement, echo cancellation, and dereveberation.
  3. Linear and nonlinear optimal filtering. Recursive Bayesian and non-Bayesian inference with application to speech processing.
  4. System identification techniques and adaptive filtering.
  5. Speech Processing for Hearing Aid Devices.
  6. Distributed algorithms for wireless and ad hoc microphone arrays.
  7. Data-driven methods (e.g. manifold learning, deep learning) in speech processing.