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Sharon Gannot

Sharon Gannot

D-Index & Metrics

Computer Science

D-Index
48
Citations
11300
World Ranking
6108
National Ranking
96

Overview

Sharon Gannot is affiliated with Bar-Ilan University in Israel, contributing extensively to the fields of computer science and engineering. Their research primarily focuses on signal processing, with a significant emphasis on speech and audio technologies.

The scientist's main fields of study include:

  • Computer Science
  • Engineering

Among the subfields of study, their work covers:

  • Signal Processing
  • Computational Mechanics
  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Biomedical Engineering

Gannot's research topics concentrate on:

  • Speech and Audio Processing
  • Music and Audio Processing
  • Advanced Adaptive Filtering Techniques
  • Speech Recognition and Synthesis
  • Blind Source Separation Techniques
  • Indoor and Outdoor Localization Technologies
  • Acoustic Wave Phenomena Research

They have published frequently in several academic venues, notably:

  • arXiv (Cornell University)
  • EURASIP Journal on Audio Speech and Music Processing
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • IEEE Signal Processing Magazine
  • 2021 29th European Signal Processing Conference (EUSIPCO)

Notable recent papers authored or co-authored by Gannot include:

  • Semi-Supervised Multiple Source Localization Using Relative Harmonic Coefficients Under Noisy and Reverberant Environments (2020, IEEE/ACM Transactions on Audio Speech and Language Processing)
  • Intrapersonal and interpersonal vocal affect dynamics during psychotherapy (2021, Journal of Consulting and Clinical Psychology)
  • Dynamically localizing multiple speakers based on the time-frequency domain (2021, EURASIP Journal on Audio Speech and Music Processing)
  • dEchorate: a calibrated room impulse response dataset for echo-aware signal processing (2021, EURASIP Journal on Audio Speech and Music Processing)
  • Audio Signal Processing in the 21st Century: The important outcomes of the past 25 years (2023, IEEE Signal Processing Magazine)

Gannot collaborates frequently with several co-authors, including:

  • Shlomo E. Chazan
  • Pinchas Tandeitnik
  • Diego Di Carlo
  • Cédric Foy
  • Nancy Bertin

Best Publications

  • Signal enhancement using beamforming and nonstationarity with applications to speech

    S. Gannot;D. Burshtein;E. Weinstein

  • A Consolidated Perspective on Multimicrophone Speech Enhancement and Source Separation

    Sharon Gannot;Emmanuel Vincent;Shmulik Markovich-Golan;Alexey Ozerov

  • Machine learning in acoustics: Theory and applications

    Michael J. Bianco;Peter Gerstoft;James Traer;Emma Ozanich

  • A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research

    Keisuke Kinoshita;Marc Delcroix;Sharon Gannot;Emanuël A. P. Habets

  • Iterative and sequential Kalman filter-based speech enhancement algorithms

    S. Gannot;D. Burshtein;E. Weinstein

  • Multichannel Eigenspace Beamforming in a Reverberant Noisy Environment With Multiple Interfering Speech Signals

    S. Markovich;S. Gannot;I. Cohen

  • Audio source separation and speech enhancement

    Emmanuel Vincent;Tuomas Virtanen;Sharon Gannot

  • Multichannel audio database in various acoustic environments

    Elior Hadad;Florian Heese;Peter Vary;Sharon Gannot

  • Acoustic Beamforming for Hearing Aid Applications

    Simon Doclo;Sharon Gannot;Marc Moonen;Ann Spriet

  • Speech enhancement based on the general transfer function GSC and postfiltering

    S. Gannot;I. Cohen

  • Generating sensor signals in isotropic noise fields.

    Emanuël A. P. Habets;Sharon Gannot

  • Subspace methods for multimicrophone speech dereverberation

    Sharon Gannot;Marc Moonen

  • Late Reverberant Spectral Variance Estimation Based on a Statistical Model

    E.A.P. Habets;S. Gannot;I. Cohen

  • New Insights Into the MVDR Beamformer in Room Acoustics

    E. Habets;J. Benesty;I. Cohen;S. Gannot

  • Generating nonstationary multisensor signals under a spatial coherence constraint.

    Emanuël A. P. Habets;Israel Cohen;Sharon Gannot

  • Relative Transfer Function Identification Using Convolutive Transfer Function Approximation

    R. Talmon;I. Cohen;S. Gannot

  • Time difference of arrival estimation of speech source in a noisy and reverberant environment

    Tsvi G. Dvorkind;Sharon Gannot

  • Adaptive Beamforming and Postfiltering

    Sharon Gannot;Israel Cohen

  • Speech enhancement using a mixture-maximum model

    D. Burshtein;S. Gannot

  • Performance analysis of the covariance subtraction method for relative transfer function estimation and comparison to the covariance whitening method

    Shmulik Markovich-Golan;Sharon Gannot

  • Optimal distributed minimum-variance beamforming approaches for speech enhancement in wireless acoustic sensor networks

    Shmulik Markovich-Golan;Alexander Bertrand;Marc Moonen;Sharon Gannot

Frequent Co-Authors

Israel Cohen
Israel Cohen Technion – Israel Institute of Technology
Emanuel A. P. Habets
Emanuel A. P. Habets University of Erlangen-Nuremberg
Laurent Girin
Laurent Girin Grenoble Institute of Technology
Radu Horaud
Radu Horaud French Institute for Research in Computer Science and Automation - INRIA
Jacob Goldberger
Jacob Goldberger Bar-Ilan University
Simon Doclo
Simon Doclo Carl von Ossietzky University of Oldenburg
Walter Kellermann
Walter Kellermann University of Erlangen-Nuremberg
Patrick A. Naylor
Patrick A. Naylor Imperial College London
Peter Gerstoft
Peter Gerstoft University of California, San Diego
Jacob Benesty
Jacob Benesty Institut National de la Recherche Scientifique

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