Journal Papers

  1. D. Di Carlo, P. Tandeitnik, C. Foy, N. Bertin, A. Deleforge, and S. Gannot, "dEchorate: a calibrated room impulse response dataset for echo-aware signal processing," EURASIP Journal on Audio, Speech and Music, Nov. 2021. [Online]. Available: https://rdcu.be/cB60s

  2. O. Schwartz and S. Gannot, "A recursive expectation-maximization algorithm for speaker tracking and separation," EURASIP Journal on Audio, Speech and Music," Nov. 2021.

  3. N. Cohen, G. Hazan, B. Schwartz, and S. Gannot, "An online algorithm for echo cancellation, dereverberation and noise reduction based on a Kalman-EM method," EURASIP Journal on Audio, Speech and Music, Aug. 2021. [Online]. Available: https://rdcu.be/cx6HO

  4. M. J. Bianco, S. Gannot, E. Fernandez-Grande, and P. Gerstoft, “Semi-supervised source local-ization in reverberant environments with deep generative modeling,” IEEE Access, vol. 9, Jun.2021.

  5. H. Hammer, S. E. Chazan, J. Goldberger, and S. Gannot, "Dynamically localizing multiple speakers based on the time-frequency domain," EURASIP Journal on Audio, Speech and Music, Mar. 2021. [Online] Available: https://rdcu.be/cilAr

  6. D. Levin, S. Markovich-Golan, and S. Gannot, "Near-field Superdirectivity: An Analytical Perspective," IEEE/ACM Transactions on Audio, Speech, and Language Processing, Mar. 2021, accepted for publication.

  7. M. Veismman, Y. Noam, and S. Gannot, "The hybrid Cramer-Rao lower bound for simultaneous speaker tracking and room geometry estimation," EURASIP Journal on Advances in Signal Processing, vol. 2021, pp. 1-22, 2021. [Online]. Available: https://rdcu.be/ch26w

  8. B. Laufer Goldshtein, R. Talmon, and S. Gannot, "Audio source separation by activity probability detection with maximum correlation and simplex geometry," EURASIP Journal on Audio, Speech and Music, vol. 2021, Jan. 2021. [Online]. Available: https://rdcu.be/ch29B

  9. Y. Dorfan, B. Schwartz, and S. Gannot, "Forward-backward recursive expectation-maximization for concurrent speakers tracking," EURASIP Journal on Audio, Speech and Music, vol. 2020, 2021. [Online]. Available: https://rdcu.be/ch29Q

  10. A. Paz, E. Rafaeli, E. Bar-Kalifa, E. Gilboa-Schectman, S. Gannot, B. Laufer-Goldshtein, S. Narayanan, J. Keshet, and D. Atzil-Slonim, "Intrapersonal and interpersonal vocal emotional dynamics during Psychotherapy," Journal of Consulting and Clinical Psychology, Jan. 2021.

  11. Y. Hu, P. N. Samarasinghe, S. Gannot, and T. D. Abhayapala, "Semi-supervised multiple source localization using relative harmonic coefficients under noisy and reverberant environments," IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 28, pp. 3108-3123, 2020.

  12. K. Weisberg, B. Laufer-Goldshtein, and S. Gannot, "Simultaneous tracking and separation of multiple sources using factor graph model," IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 28, pp. 2848-2864, 2020.

  13. N. Gößling, E. Hadad, S. Gannot, and S. Doclo, "Binaural LCMV beamforming with partial noise estimation," IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 28, pp. 2942-2955, 2020.

  14. U. Saqib, S. Gannot, and J. R. Jensen, "Estimation of acoustic echoes using expectation-maximization methods," EURASIP Journal on Audio, Speech and Music, vol. 2020, Jun. 2020. [Online]. Available: https://rdcu.be/b6O0C

  15. Y. Dorfan, O. Schwartz, and S. Gannot, "Joint speaker localization and array calibration using expectation-maximization," EURASIP Journal on Audio, Speech and Music, vol. 2020, Jun. 2020. [Online]. Available: https://rdcu.be/b4R2u
  16. B. Laufer-Goldshtein, R. Talmon, and S. Gannot, "Global and local simplex representations for multichannel source separation," IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 28, pp. 914-928, 2020.
  17. Y. Laufer, B. Laufer-Goldshtein, and S. Gannot, "ML estimation and CRBs for reverberation, speech, and noise PSDs in rank-deficient noise field," IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 28, pp. 619-634, 2020.
  18. D. Cherkassky and S. Gannot, “Successive relative transfer function identification using blind oblique projection,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 28, pp. 474–486, 2019.
  19. Y. Laufer and S. Gannot, “Scoring-based ML estimation and CRBs for reverberation, speech, and noise PSDs in a spatially homogeneous noise field,” IEEE/ACM Transactions on Audio, Speech, and Language Processing , vol. 28, pp. 61–76, 2020.
  20. M. J. Bianco, P. Gerstoft, J. Traer, E. Ozanich, M. A. Roch, S. Gannot, and C.-A. Deledalle, “Machine learning in acoustics: Theory and applications,” The Journal of Acoustical Society of America, Vol. 146, No.5, Nov. 2019. https://doi.org/10.1121/1.5133944
    JASA, Technical AreaPick for Signal Processing, 2020.
    Copyright (2019) Acoustical Society of America. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the Acoustical Society of America.
  21. X. Li, L. Girin, S. Gannot, and R. Horaud, “Multichannel online dereverberation based on spectral magnitude inverse filtering,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 27, no. 9, pp. 1365–1377, Sep. 2019.
  22. X. Li, L. Girin, S. Gannot, and R. Horaud, “Multichannel source separation and speech enhancement using the convolutive transfer function” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 27, no. 3, pp. 645–659, Mar. 2019.
  23. B. Schwartz, S. Gannot, E. A. Habets, and Y. Noam, “Recursive maximum likelihood algorithm for dependent observations,” IEEE Transactions on Signal Processing, vol. 67, no. 5, pp. 1366–1381, 2019.
  24. S. Gannot and P. A. Naylor, “Highlights from the audio and acoustic signal processing technical committee [in the spotlight],” IEEE Signal Processing Magazine , vol. 36, no. 2, pp. 136–134, 2019.
  25. Y. Laufer and S. Gannot, “A Bayesian hierarchical model for speech enhancement with time-varying audio channel,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 27, no. 1, pp. 225–239, 2019.
  26. X. Li, S. Gannot, L. Girin, and R. Horaud, “Multichannel identification and nonnegative equalization for dereverberation and noise reduction based on convolutive transfer function,” IEEE/ACM Transactions on Audio, Speech, and Language Processing , vol. 26, no. 10, pp. 1755–1768, 2018.
  27. B. Laufer-Goldshtein, R. Talmon, and S. Gannot, “Source counting and separation based on simplex analysis,” IEEE Transactions on Signal Processing, vol. 66, no. 24, pp. 6458–6473, Sep. 2018.
  28. C. Evers, E. A. Habets, S. Gannot, and P. A. Naylor, “DoA Reliability for Distributed Acoustic Tracking,” IEEE Signal Processing Letters, vol. 25, no. 9, pp. 1320–1324, 2018.
  29. S. Braun, A. Kuklasinski, O. Schwartz, O. Thiergart, E. A. Habets, S. Gannot, S. Doclo, and J. Jensen, “Evaluation and Comparison of Late Reverberation Power Spectral Density Estimators,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 26, no. 6, pp. 1052–1067, Jun. 2018.
  30. Dorfan, A. Plinge, G. Hazan, and S. Gannot, “Distributed expectation-maximization algorithm for speaker localization in reverberant environments,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 26, no. 3, pp. 682–695, Mar. 2018.
  31. B. Laufer-Goldshtein, R. Talmon, and S. Gannot, “A hybrid approach for speaker tracking based on TDOA and data-driven models,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 26, no. 4, pp. 725–735, Apr. 2018.
  32. B. Schwarz, S. Gannot, and E. A. Habets, “An expectation-maximization algorithm for blind source separation in noisy environments,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 25, no. 11, pp. 2209 - 2222, Nov. 2017.
  33. X. Li, L. Girin, R. Horaud, and S. Gannot, “Multiple-speaker localization based on direct-path features and likelihood maximization with sparsity regularization,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 25, no. 10, pp. 1997-2012, Oct. 2017.
  34. O. Schwarz, S. Gannot, and E. A.P. Habets, “Cramér-Rao bound analysis of reverberation level estimators for dereverberation and noise reduction,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 25, no. 8, pp. 1680–1693, Aug. 2017.
  35. B. Laufer-Goldshtein, R. Talmon and S. Gannot, “Semi-Supervised Source Localization on Multiple-Manifolds with Distributed Microphones,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, 25, no. 7, pp. 1477–1491, Jul. 2017
  36. S. Gannot, E. Vincent, S. Markovich-Golan, and A. Ozerov, “A Consolidated Perspective on Multi-Microphone Speech Enhancement and Source Separation,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, (invited tutorial paper), IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 25, no. 4, pp. 692–730, Apr. 2017.
  37. A. Plinge, G. A. Fink, and S. Gannot, “Passive online geometry calibration of acoustic sensor networks,” IEEE Signal Processing Letters, vol. 24, no. 3, pp. 324–328, Mar. 2017.
  38. O. Schwarz, S. Gannot, and E. A. Habets, "Multi-speaker LCMV beamformer and postfilter for source separation and noise reduction," IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 25, no. 5, pp. 940–951, May 2017.
  39. D. Cherkassky and S. Gannot, “Blind synchronization in wireless acoustic sensor networks,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 25, no. 3, pp. 651–661, Mar. 2017.
  40. S. Markovich-Golan, S. Gannot, and W. Kellermann, “Combined LCMV-TRINICON beamforming for separating multiple speech sources in noisy and reverberant environments,”IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 25, No. 2, pp.  320-332, February 2017.
  41. Y. Yeminy, Y. Keller, and S. Gannot, “Single microphone speech separation by diffusion-based HMM estimation,” EURASIP Journal on Audio, Speech, and Music Processing, Dec., 2016.
  42. S. E. Chazan, J. Goldberger, and S. Gannot, “A Hybrid Approach for Speech Enhancement Using MoG Model and Neural Network Phoneme Classifier,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 24, No. 12, Dec. 2016.
  43. D. Y. Levin, E. A. P. Habets, and S. Gannot, “Near-field signal acquisition for smartglasses using two acoustic vector-sensors,” Speech Communication, vol 83, pp. 42–53, Oct. 2016.
  44. X. Li, L. Girin, R. Horaud, and S. Gannot, “Estimation of the Direct-Path Relative Transfer Function for Supervised Sound-Source Localization,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 24, no. 11, pp. 2171–2186, Nov. 2016.
  45. O. Schwartz, S. Gannot, and E.A.P. Habets, “An Expectation- Maximization Algorithm for Multi- microphone Speech Dereverberation and Noise Reduction with Coherence Matrix Estimation,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 24, no. 9, pp. 1495–1510, Sep. 2016.
  46. D. Kounades-Bastian, L. Girin, X. Alameda-Pineda, S. Gannot, and R. Horaud, “A Variational EM Algorithm for the Separation of Time-Varying Convolutive Audio Mixtures,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 24, no. 8, pp. 1408-1423, Aug. 2016.
  47. B. Laufer-Goldshtein, R. Talmon, and S. Gannot, “Semi-Supervised Sound Source Localization on Manifold Regularization,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 24, no. 8, pp. 1393–1407, Aug. 2016.
  48. E. Hadad, S. Doclo, and S. Gannot, “The binaural LCMV beamformer and its performance analysis,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 24, no. 3, pp. 543–558, Mar. 2016.
  49. D. Cherkassky and S. Gannot, “New insights into the Kalman filter beamformer Applications to speech and robustness,” IEEE Signal Processing Letters, vol. 23, no. 3, pp. 376–380, Mar. 2016.
  50. K. Kinoshita, M. Delcroix, S. Gannot, E. Habets, R. Haeb-Umbach, W. Kellermann, V. Leutnant, R. Maas, T. Nakatani, B. Raj, A. Sehr, and T. Yoshioka, “A summary of the REVERB challenge,” EURASIP Journal on Advances in Signal Processing, Special issue on: “Silencing the Echoes-Processing of Reverberant Speech”, vol. 2016, no. 1, pp. 1–19, Jan. 2016.
  51. E. Hadad, D. Marquardt, S. Doclo, and S. Gannot, "Theoretical Analysis of Binaural Transfer Function MVDR Beamformers with Interference Cue Preservation Constraints," IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 23, No. 12, pp. 2449-2464, Dec., 2015.
  52. D. Marquardt, E. Hadad, S. Gannot, and S. Doclo, "Theoretical Analysis of Linearly Constrained Multi-Channel Wiener Filtering Algorithms for Combined Noise Reduction and Binaural Cue Preservation in Binaural Hearing Aids," IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 23, No. 12, pp. 2384-2397, Dec., 2015.
  53. D. Y. Levin, E. A.P. Habets, and S. Gannot, "On the Average Directivity Factor Attainable With a Beamformer Incorporating Null Constraints," IEEE Signal Processing Letters, pp. 2122-2126, Nov. 2015.
  54. Y. Dorfan and S. Gannot, "Tree-based recursive expectation-maximization algorithm for localization of acoustic sources," IEEE/ACM Transactions on Audio, Speech, and Language Processing, pp. 1692-1703, Oct. 2015.
  55. Z. Koldovky, J. Malek, and S. Gannot, "Spatial source subtraction based on incomplete measurements of relative transfer function," IEEE/ACM Transactions on Audio, Speech, and Language Processing, pp. 1335-1347, Aug. 2015.
  56. O. Schwartz, S. Gannot, and E. A.P. Habets, "Multi-microphone speech dereverberation and noise reduction using relative early transfer functions," IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 23, no. 2, pp. 240-251, Feb. 2015.
  57. B. Schwartz, S. Gannot, and E. A.P. Habets, "Online speech dereverberation using Kalman filter and EM algorithm," IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 23, no. 2, pp. 394-406, Feb. 2015.
  58. S. Markovich-Golan, A. Bertrand, M. Moonen, and S. Gannot, "Optimal distributed minimum-variance beamforming approaches for speech enhancement in wireless acoustic sensor networks," Special issue on "acoustic sensor networks and ad hoc microphone arrays," Signal Processing, vol. 107, pp. 4–20, 2015.
  59. O. Schwartz and S. Gannot, “Speaker tracking using recursive EM algorithms,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 22, no. 2, pp. 392-402, Feb 2014. (Explanatory video, Ori Ernst and Zahi Elbaz)
  60. D. Levin, E. Habets, and S. Gannot, "A generalized theorem on the average array directivity factor," IEEE Signal Processing Letters, vol. 20, no. 9, pp. 877-880, Jul. 2013.
  61. S. Markovich-Golan, S. Gannot, and I. Cohen, "Performance of the SDW-MWF with randomly located microphones in a reverberant enclosure," IEEE Transactions on Audio, Speech, and Language Processing, vol. 21, no. 7, pp. 1513-1523, 2013.
  62. R. Talmon, I. Cohen, S. Gannot, and R. Coifman, "Diffusion maps for signal processing: A deeper look at manifold-learning techniques based on kernels and graphs," IEEE Signal Processing Magazine, vol. 30, no. 4, pp. 75-86, 2013, special Issue on Advances in Kernel-based Learning for Signal Processing.
  63. S. Markovich-Golan, S. Gannot, and I. Cohen, “Distributed  multiple  constraints generalized sidelobe canceler for fully connected wireless acoustic sensor networks,” IEEE Transactions on Audio, Speech, and Language Processing, vol. 21, no. 2, pp. 343–356, Feb. 2013.
  64. R. Talmon, I. Cohen, and S. Gannot, “Single-channel transient interference  suppression with diffusion maps,” IEEE Transactions on Audio, Speech, and Language Processing, vol. 21, no. 1, pp. 132–144, Jan. 2013.
  65. R. Talmon, I. Cohen,  S. Gannot, and R. Coifman, “Supervised graph-based processing for sequential transient interference suppression,” IEEE Transactions on Audio, Speech, and Language Processing, vol. 20, no. 9, pp. 2528–2538, Sep. 2012.
  66. S. Gannot, “Speech processing utilizing  the Kalman filter,”  Instrumentation & Measurement Magazine, IEEE, vol. 15, no. 3, pp. 10–14, Jun. 2012.
  67. S. Markovich-Golan, S. Gannot, and I. Cohen, “Low-complexity  addition or removal of sensors/constraints in LCMV  beamformers,” IEEE  Transactions on Signal Processing, vol. 60, no. 3, pp. 1205–1214, Mar. 2012.
  68. R. Talmon, D. Kushnir, R. Coifman, I. Cohen, and S. Gannot, “Parametrization of linear systems using diffusion kernels,” IEEE Transactions on Signal Processing, vol. 60, no. 3, pp. 1159–1173, Mar. 2012.
  69. D. Levin, E. Habets, and S. Gannot, “Maximum  likelihood estimation of direction of arrival using an acoustic vector-sensor,” The Journal of the Acoustical Society of America, vol. 131, no. 2, pp. 1240–1248, Feb. 2012.
  70. A. Levy, S. Gannot, and E. Habets, “Multiple-hypothesis extended particle filter for acoustic source localization in reverberant  environments,” IEEE  Transactions on Audio, Speech,  and Language Processing, vol. 19, no. 6, pp. 1540–1555, Aug. 2011.
  71. R. Talmon, I. Cohen, and S. Gannot, “Transient noise reduction using nonlocal diffusion filters,” IEEE Transactions on Audio, Speech, and Language Processing, vol. 19, no. 6, pp. 1584–1599, Aug. 2011.
  72. D. Levin, E. Habets, and S. Gannot, “On the angular error of intensity vector based direction of arrival estimation in reverberant sound fields,” The Journal of the Acoustical Society of America, vol. 128, pp. 1800–1811, Oct. 2010.
  73. L. Ehrenberg, S. Gannot, O. Shayevitz, A. Leshem, and E. Zehavi, “Bidirectional  MIMO  channel tracking based on PASTd and performance evaluation,” EURASIP Journal on Advances in Signal Processing, vol. 2010, Aug. 2010.
  74. Emanuël A.P. Habets, J. Benesty, I. Cohen, and S. Gannot, J. Dmochowski, “New Insights Into the MVDR Beamformer in Room Acoustics", IEEE Transactions on Audio, Speech and Language Processing, Volume 18, Issue 1, pp. 158 - 170, Jan. 2010.
  75. Shmulik Markovich, Sharon Gannot and Israel Cohen, “Multichannel Eigenspace Beamforming in a Reverberant Noisy Environment with Multiple Interfering Speech Signals," IEEE Transactions on Audio, Speech and Language Processing, Volume 17, Issue 6, pp. 1071-1086, Aug. 2009.
  76. Emanuël A. P. Habets, S. Gannot and I. Cohen, "Late Reverberant Spectral Variance Estimation based on a Statistical Model", IEEE Signal Processing Letters, Volume 16, Issue 9, pp. 770-773, Sept. 2009.The 2014 Signal Processing Society - Signal Processing Letters Best Paper Award.
  77. Ronen Talmon, Israel Cohen and Sharon Gannot, “Convolutive Transfer Function Generalized Sidelobe Canceler", IEEE Transactions on Audio, Speech and Language Processing, Volume 17, Issue 7, pp. 1420-1434, Sept. 2009.
  78. Ronen Talmon, Israel Cohen and Sharon Gannot, "Relative Transfer Function Identification Using Convolutive Transfer Function Approximation", IEEE Transactions on Audio, Speech and Language Processing, Vol. 17, No. 4, May, 2009.
  79. Emanuël A. P. Habets, Israel Cohen and Sharon Gannot, "Generating Non-Stationary Multi-Sensor Signals under a Spatial Coherence Constraint",  J. Acoustical Society of America, Vol. 124, No. 5, pp. 2911-2917, Nov. 2008.
  80. Emanuël A. P. Habets, Sharon Gannot, Israel Cohen, and Piet C.W. Sommen, "Joint Dereverberation and Residual Echo Suppression of Speech Signals in a Noisy Environment", IEEE Transactions on Audio, Speech and Language Processing, Vol. 16, No. 8, pp. 1433-1451, Nov., 2008.
  81. Gal Reuven, Sharon Gannot and Israel Cohen, "Dual Source Transfer-Function Generalized Sidelobe Canceller", IEEE Transactions on Speech and Audio Processing, May, 2008.
  82. Emanuël A. P. Habets, Sharon Gannot, "Generating sensor signals in isotropic noise fields", J. Acoustical Society of America, Vol. 122 No. 6, pp. 3464-3470 December 2007.
  83. Zeev Zalevsky, Shai Ben Yaish, Eliyahu Guetta, Yevgeny Beiderman, and Sharon Gannot, "Optical Realization of Viterbi Decoder for Communication Network", Optics Express, Vol. 15, Issue 7, pp. 3635-3649, April 2007.
  84. Gal Reuven, Sharon Gannot and Israel Cohen, "Performance Analysis of the Dual Source Transfer-Function Generalized Sidelobe Canceller". Speech Communication, special issue on Speech Enhancement, Volume 49, Issues 7-8, July-August 2007, Pages 602-622.
  85. Gal Reuven, Sharon Gannot and Israel Cohen, "Joint Noise Reduction and Acoustic Echo Cancellation using the Transfer-Function Generalized Sidelobe Canceller", Speech Communication, special issue on Speech Enhancement, Volume 49, Issues 7-8, July-August 2007, Pages 623-635.
  86. Tsvi G. Dvorkind and Sharon Gannot, "Time Difference of Arrival Estimation of Speech Source in a Noisy and Reverberant Environment", Signal Processing, vol. 85, No. 1, pp. 177-204, Jan. 2005.
  87. Sharon Gannot and Tsvi G. Dvorkind , "Microphone Array Speaker Localizers Using Spatial-Temporal Information", EURASIP Journal on Applied Signal Processing, special issue on microphone arrays, Volume 2006, Article ID 59625, Pages 1-17.
  88. Sharon Gannot, David Burshtein and Ehud Weinstein, "Analysis of the Power Spectral Deviation of the General Transfer Function GSC", IEEE Trans. on Signal Processing, Vol. 52, No. 4, pp. 1115-1121, Apr. 2004.
  89. Sharon Gannot and Israel Cohen, "Speech Enhancement Based on the General Transfer Function GSC and Postfiltering", IEEE Trans. on Speech and Audio Processing, vol. 12, No. 6, pp. 561-571, Nov. 2004.
  90. S. Gannot and M. Moonen,  "Subspace Methods for Multi-Microphone Speech Dereverberation," EURASIP Journal on Applied Signal Processing, special issue on signal processing for acoustic communication systems, Vol. 2003, No. 11, pp. 1074-1090, Oct. 2003.
  91. I. Cohen, S. Gannot and B. Berdugo,  "An Integrated Real-Time Beamforming and Postfiltering System for Non-Stationary Noise Environments,"  EURASIP Journal on Applied Signal Processing, special issue on signal processing for acoustic communication systems, Vol. 2003, No. 11, pp. 1064-1073, Oct. 2003.
  92. S. Gannot and A. Yeredor,  "Noise Cancellation with Static Mixtures of a Nonstationary Signal and Stationary Noise", EURASIP Journal on Applied Signal Processing, special issue on Multiuser Detection and Blind Estimation, Vol. 2002, No. 12, pp. 1460-1472, Dec. 2002.
  93. D. Burshtein and S. Gannot,  "Speech Enhancement Using a Mixture-Maximum Model," IEEE Trans. on Signal Processing, Vol. 49, No. 8, pp. 1614-1626, Aug. 2001.
  94. S. Gannot, D. Burshtein and E. Weinstein, "Signal enhancement using beamforming and nonstationarity with applications to speech", IEEE Trans. on Signal Processing, Vol. 49, No. 8, pp. 1614-1626, Aug. 2001.
  95. S. Gannot, D. Burshtein and E. Weinstein,  "Iterative and Sequential Kalman Filter-Based Speech Enhancement Algorithms,"  IEEE Trans. on Speech and Audio Proc., vol. 6, no. 4, pp. 373-385, Jul. 1998.

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