International Audio Laboratories Erlangen

Journals

  1. M. Elminshawi, W. Mack, S.R. Chetupalli, S. Chakrabarty and E.A.P. Habets
    New insights on the role of auxiliary information in target speaker extraction, Frontiers in Signal Processing, to appear.
  2. C. Anemüller, O. Thiergart and E.A.P. Habets
    Multi-channel neural audio decorrelation using generative adversarial networks, EURASIP Journal on Audio, Speech, and Music Processing, Vol. 2024, Article Number 58, 2024.
  3. A.G. Prinn, P. Panter, A. Walther and E.A.P. Habets
    Validation of an eigenvalue-based inverse method for estimating locally-reacting surface impedance, Applied Acoustics, to appear.
  4. M. Elminshawi, S.R. Chetupalli and E.A.P. Habets
    Dynamic slimmable network for speech separation, IEEE Signal Processing Letters, to appear.
  5. A.G. Prinn, C. Tuna, A. Walther and E.A.P. Habets
    A study of the spatial non-uniformity of reverberation time at low frequencies, Applied Acoustics, to appear.
  6. Z. Xu, A. Herzog, A. Lodermeyer, E.A.P. Habets and A.G. Prinn
    Simulating room transfer functions between transducers mounted on audio devices using a modified image source method, The Journal of the Acoustical Society of America, Vol. 155, 343–357, 2024.
  7. P. Götz, C. Tuna, A. Walther and E.A.P. Habets
    Online reverberation time and clarity estimation in dynamic acoustic conditions, The Journal of the Acoustical Society of America, Vol. 153, pp. 3532–3542, 2023.
  8. A. Herzog, S.R. Chetupalli and E.A.P. Habets
    AmbiSep: Joint Ambisonic-to-Ambisonic speech separation and noise reduction, IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 31, pp. 3081-3094, 2023.
  9. N.K. Sharma, Ü.E. Gaznepoglu and E.A.P. Habets
    Two congruent cues are better than one: Impact of ITD-ILD combinations on reaction time for sound lateralization, The Journal of the Acoustical Society of America Express Letters, Vol. 3, Issue 5, 054401, 2023.
  10. S.R. Chetupalli and E.A.P. Habets
    Speaker counting and separation from single-channel noisy mixtures, IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 31, pp. 1681-1692, 2023.
  11. S.J. Schlecht, V. Välimäki and E.A.P. Habets
    Bounded Magnitude DFT [Tips & Tricks], IEEE Signal Processing Magazine, Vol. 40, Issue 3, pp. 46-49, May 2023.
  12. W. Mack, J. Wechsler and E.A.P. Habets
    Signal-aware direction-of-arrival estimation using attention mechanisms, Computer Speech & Language Vol. 75, 101363, 2022.
  13. C. Tuna, A. Zevering, A.G. Prinn, P. Goetz, A. Walther and E.A.P. Habets
    Data-driven local average room transfer function estimation for multi-point equalization, The Journal of the Acoustical Society of America, Vol. 152, pp. 3635–3647, 2022.
  14. Z. Xu, A. Herzog, A. Lodermeyer, E.A.P. Habets and A.G. Prinn
    Acoustic reciprocity in the spherical harmonic domain: A formulation for directional sources and receivers, The Journal of the Acoustical Society of America Express Letters, Vol. 2, Issue 12, 124801, 2022.
  15. C. Anemüller, O. Thiergart and E.A.P. Habets
    A data-driven approach to audio decorrelation, IEEE Signal Processing Letters, Vol. 29, pp. 2477-2481, 2022.
  16. B. Rafaely, V. Tourbabin, E.A.P. Habets, Z. Ben-Hur, H. Lee, H. Gamper, L. Arbel, L. Birnie, T. Abhayapala and P. Samarasinghe
    Spatial audio signal processing for binaural reproduction of recorded acoustic scenes – review and challenges, Acta Acustica, Vol 6, Article No. 47, pp. 1-19, 2022.
  17. J. Skowronek, A. Raake, G. Berndtsson, O.S. Rummukainen, P. Usai, S.N.B. Gunkel, M. Johanson, E.A.P. Habets, L. Malfait, D. Lindero and A. Toet
    Quality of experience in telemeetings and videoconferencing: A comprehensive survey, IEEE Access, Vol. 10, pp. 63885-63931, 2022.
  18. M. Eckert, T. Robotham, E.A.P. Habets and O.S. Rummukainen
    Pupillary light reflex correction for robust pupillometry in virtual reality, Proc. of the ACM on Computer Graphics and Interactive Techniques, Vol. 5, Issue 2, Article No. 18, pp. 1–16, May 2022.
  19. A. Herzog and E.A.P. Habets
    Distance estimation in the spherical harmonic domain using the spherical wave model, Applied Acoustics, Vol. 193, 108733, 2022.
  20. X. Dang, W. Ma, E.A.P. Habets and H. Zhu
    TDOA-based robust sound source localization with sparse regularization in wireless acoustic sensor networks, IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 30, pp.1108-1123, 2022.
  21. T. Robotham, O.S. Rummukainen, M. Kurz, M. Eckert and E.A.P. Habets
    Comparing direct and indirect methods of audio quality evaluation in virtual reality scenes of varying complexity, IEEE Transactions on Visualization and Computer Graphics, Vol. 28, Issue 5, pp. 2091-2101, 2022.
  22. D. Mirabilii and E.A.P. Habets
    Wind speed and direction estimation based on the spatial coherence of closely spaced microphones, The Journal of the Acoustical Society of America, Vol. 151, Issue 1, pp. 346–357, 2022.
  23. A. Ilic Mezza, E.A.P. Habets, M. Mueller and A. Sarti
    Unsupervised domain adaptation via principal subspace projection for acoustic scene classification, Journal of Signal Processing Systems, Vol. 94, pp. 197–213, 2022.
  24. A.G. Prinn, A. Walther and E.A.P. Habets
    Estimation of locally reacting surface impedance at modal frequencies using an eigenvalue approximation technique, The Journal of the Acoustical Society of America, Vol. 150, Issue 4, pp. 2921–2935, 2021.
  25. Y. El Baba, A. Walther and E.A.P. Habets
    Schottky’s law of low-frequency reception for modern sensitivity conventions, Journal of the Audio Engineering Society, Vol 69, Issue 11, pp. 860-870, 2021.
  26. A.K. Jain, D.J. Schott, H. Scheithauer, I. Häring, F. Höflinger, Georg Fischer, E.A.P. Habets, P. Gelhausen, C. Schindelhauer and S.J. Rupitsch
    Simulation-based resilience quantification of an indoor ultrasound localization system in the presence of disruptions, Sensors, Vol. 21, Issue 19, 6332, 2021.
  27. O.S. Rummukainen, T. Robotham and E.A.P. Habets
    Head-related transfer functions for dynamic listeners in virtual reality, Applied Sciences, Vol. 11, Issue 14, 2021.
  28. A. Herzog and E.A.P. Habets
    Generalized intensity vector and energy density in the spherical harmonic domain: Theory and applications, The Journal of the Acoustical Society of America, Vol. 150, 294, 2021.
  29. D. Mirabilii, S.J. Schlecht and E.A.P. Habets
    Generating coherence-constrained multisensor signals using balanced mixing and spectrally smooth filters, The Journal of the Acoustical Society of America, Vol. 149, 1425, 2021.
  30. A. Herzog and E.A.P. Habets
    Direction and reverberation preserving noise reduction of Ambisonics signals, IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 28, pp. 2461-2475, Aug. 2020.
  31. O.S. Rummukainen, S.J. Schlecht and E.A.P. Habets
    No dynamic visual capture for self-translation minimum audible angle, The Journal of the Acoustical Society of America Express Letters, Vol. 148, EL-77, 2020.
  32. D. Mirabilii and E.A.P. Habets
    Spatial coherence-aware multi-channel wind noise reduction, IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 28, pp. 1974-1987, 2020.
  33. S.J. Schlecht and E.A.P. Habets
    Scattering in feedback delay networks, IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 28, pp. 1915-1924, 2020.
  34. C. Tuna, A. Canclini, F. Borra, P. Götz, F. Antonacci, A. Walther, A. Sarti and E.A.P. Habets
    3D room geometry inference using a linear loudspeaker array and a single microphone, IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 28, pp. 1729-1744, 2020.
  35. W. Mack and E.A.P. Habets
    Deep filtering: Signal extraction and reconstruction using complex time-frequency filters, IEEE Signal Processing Letters, Vol. 27, pp. 61-65, Dec. 2020.
  36. M. Taseska, T. van Waterschoot, E.A.P. Habets and R. Talmon
    Nonlinear filtering with variable-bandwidth exponential kernels, IEEE Transactions on Signal Processing, Vol. 68, pp. 314-326, Dec. 2019.
  37. M. Schneider and E.A.P. Habets
    Iterative DFT-domain inverse filter optimization using a weighted least-squares criterion, IEEE/ACM Transactions on Audio, Speech and Language Processing, Vol. 27, Issue 12, pp. 1957-1969, Dec. 2019.
  38. S.J. Schlecht and E.A.P. Habets
    Modal decomposition of feedback delay networks, IEEE Transactions on Signal Processing, Vol. 67, Issue 20, pp. 5340-5351, Oct. 2019.
  39. S. Chakrabarty and E.A.P. Habets
    Time-frequency masking based online multi-channel speech enhancement with convolutional recurrent neural networks, IEEE Journal of Selected Topics in Signal Processing, Vol. 13, Issue 4, pp. 787-799, Aug. 2019.
  40. A. Herzog and E.A.P. Habets
    Eigenbeam-ESPRIT for DOA-vector estimation, IEEE Signal Processing Letters, Vol. 26, Issue 4, pp. 572-576, Apr. 2019.
  41. S. Chakrabarty and E.A.P. Habets
    Multi-speaker DOA estimation using deep convolutional networks trained with noise signals, IEEE Journal of Selected Topics in Signal Processing, Vol. 13, Issue 1, pp. 8-21, Mar. 2019.
  42. B. Schwartz, S. Gannot, E.A.P. Habets and Y. Noam
    Recursive expectation-maximization algorithm for dependent observations, IEEE/ACM Transactions on Signal Processing, Vol. 67, Issue 5, pp. 1366-1381, Mar. 2019.
  43. M. Luis Valero and E.A.P. Habets
    Low-complexity multi-microphone acoustic echo control in the short-time Fourier transform domain, IEEE/ACM Transactions on Audio, Speech and Language Processing, Vol. 27, Issue 3, pp. 595-609, Mar. 2019.
  44. F.-R. Stöter, S. Chakrabarty, B. Edler and E.A.P. Habets
    CountNet: Estimating the number of concurrent speakers using supervised learning, IEEE/ACM Transactions on Audio, Speech and Language Processing, Vol. 27, Issue 2, pp. 268-282, Feb. 2019.
  45. O.S. Rummukainen, S.J. Schlecht and E.A.P. Habets
    Self-translation induced minimum audible angle, The Journal of the Acoustical Society of America Express Letters, Vol. 144, EL-340, 2018.
  46. C. Evers, E.A.P. Habets, S. Gannot and P.A. Naylor
    DoA reliability for distributed acoustic tracking, IEEE Signal Processing Letters, Vol. 25, Issue 9, pp. 1320-1324, Sep. 2018.
  47. S. Braun and E.A.P. Habets
    Linear prediction based online dereverberation and noise reduction using alternating Kalman filters, IEEE/ACM Transactions on Audio, Speech and Language Processing, Vol. 26, Issue 6, pp. 1115-1125, Jun. 2018.
  48. S. Braun, A. Kuklasiníski, O. Schwartz, O. Thiergart, E.A.P. 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, Issue 6, pp. 1052-1067, Jun. 2018.
  49. Y. El Baba, A. Walther and E.A.P. Habets
    3D room geometry inference based on room impulse response stacks, IEEE/ACM Transactions on Audio, Speech and Language Processing, Vol. 26, Issue 5, pp. 857-872, May 2018.
  50. M. Taseska and E.A.P. Habets
    Blind source separation of moving sources using sparsity-based source detection and tracking, IEEE/ACM Transactions on Audio, Speech and Language Processing, Vol. 26, Issue 3, pp. 657-670, Mar. 2018.
  51. S. Chakrabarty and E.A.P. Habets
    A Bayesian approach to informed spatial filtering with robustness against DOA estimation errors, IEEE/ACM Transactions on Audio, Speech and Language Processing, Vol. 26, Issue 1, pp. 145-160, Jan. 2018.
  52. M. Taseska and E.A.P. Habets
    Non-stationary noise PSD matrix estimation for multichannel blind speech extraction, IEEE/ACM Transactions on Audio, Speech and Language Processing, Vol. 25, Issue 11, pp. 2223 - 2236, Nov. 2017.
  53. B. Schwartz, S. Gannot and E.A.P. Habets
    Two model-based EM algorithms for blind source separation in noisy environment, IEEE/ACM Transactions on Audio, Speech and Language Processing, Vol. 25, Issue 11, pp. 2209 - 2222, Nov. 2017.
  54. M. Taseska and E.A.P. Habets
    DOA-informed source extraction in the presence of competing talkers and background noise, EURASIP Journal on Advances in Signal Processing, Vol. 2017:60, 2017.
  55. O. Schwartz, S. Gannot and E.A.P. Habets
    Cramér-Rao bound analysis of reverberation level estimators for dereverberation and noise reduction, IEEE/ACM Transactions on Signal Processing, Vol. 25, Issue 8, pp. 1680 - 1693, Aug. 2017.
  56. O. Schwartz, S. Gannot and E.A.P. Habets
    Multi-speaker LCMV beamformer and postfilter for source separation and noise reduction, IEEE/ACM Transactions on Audio, Speech and Language Processing, Vol. 25, Issue 5, pp. 940 - 951, May 2017.
  57. S.J. Schlecht and E.A.P. Habets
    On lossless feedback delay networks, IEEE Transactions on Signal Processing, Vol. 65, Issue 6, pp. 1554 - 1564, Mar. 2017.
  58. S.J. Schlecht and E.A.P. Habets
    Feedback delay networks: Echo density and mixing time, IEEE/ACM Transactions on Audio, Speech and Language Processing, Vol. 25, Issue 2, pp. 374 - 383, Feb. 2017.
  59. S. Braun and E.A.P. Habets
    Online dereverberation for dynamic scenarios using a Kalman filter with an autoregressive model, IEEE Signal Processing Letters, Vol. 23, Issue 1 2, pp. 1741 - 1745, Dec. 2016.
  60. 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.
  61. S.J. Schlecht and E.A.P. Habets
    The stability of multichannel sound systems with time-varying mixing matrices, The Journal of the Acoustical Society of America, Vol. 140, Issue 1, pp. 601-609, Jul. 2016.
  62. 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, Issue 9, pp. 1495-1510, Sep. 2016.
  63. M. Taseska and E.A.P. Habets
    Spotforming: Spatial filtering with distributed arrays for position-selective sound acquisition, IEEE/ACM Transactions on Audio, Speech and Language Processing, Vol. 24, Issue 7, pp. 1291-1304, Jul. 2016.
  64. M. Luis Valero, E. Mabande and E.A.P. Habets
    An alternative complexity reduction method for partitioned-block frequency-domain adaptive filters, IEEE Signal Processing Letters, Vol. 23, No. 5, pp. 668-672, May 2016.
  65. K. Kinoshita, M. Delcroix, S. Gannot, E.A.P. 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: state-of-the-art and remaining challenges in reverberant speech processing research, EURASIP Journal on Advances in Signal Processing, Vol. 2016:7, 2016.
  66. S. Chakrabarty and E.A.P. Habets
    On the numerical instability of an LCMV beamformer for a uniform linear array, IEEE Signal Processing Letters, Vol. 23, No. 2, pp. 272-276, Feb. 2016.
  67. S. Braun and E.A.P. Habets
    A multichannel diffuse power estimator for dereverberation in the presence of multiple sources, EURASIP Journal on Audio, Speech and Music Processing, Vol. 2015:34, 2015.
  68. 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, Vol. 22, No. 11, pp. 2122-2126, Nov. 2015.
  69. S.J. Schlecht and E.A.P. Habets
    Time-varying feedback matrices in feedback delay networks and their application in artificial reverberation, The Journal of the Acoustical Society of America, Vol. 138, pp. 1389-1398, Sep. 2015.
  70. P. Götz, K. Kowalczyk, A. Silzle and E.A.P. Habets
    Mixing time prediction using spherical microphone arrays, The Journal of the Acoustical Society of America Express Letters, Vol. 137, EL-206, 2015.
  71. K. Kowalczyk, O. Thiergart, M. Taseska, G. Del Galdo, V. Pulkki and E.A.P. Habets
    Parametric spatial sound processing: A flexible and efficient solution to sound scene acquisition, modification and reproduction, IEEE Signal Processing Magazine, Vol. 32, Issue 2, pp. 31-42, Mar. 2015.
  72. O. Schwartz, S. Gannot and E.A.P. Habets [Audio Examples]
    Multi-microphone speech dereverberation and noise reduction using relative early transfer functions, IEEE/ACM Transactions on Audio, Speech and Language Processing, Vol. 23, Issue 2, pp. 240-251, Jan. 2015.
  73. B. Schwartz, S. Gannot and E.A.P. Habets [Audio Examples]
    Online speech dereverberation using Kalman filter and EM algorithm, IEEE/ACM Transactions on Audio, Speech and Language Processing, Vol. 23, Issue 2, pp. 394-406, 2015.
  74. O. Thiergart, M. Taseska and E.A.P. Habets
    An informed parametric spatial filter based on instantaneous direction-of-arrival estimates, IEEE/ACM Transactions on Audio, Speech and Language Processing, Vol. 22, Issue 12, pp. 2182-2196, Dec. 2014.
  75. F. Lim, W. Zhang, E.A.P. Habets and P.A. Naylor
    Robust multichannel dereverberation using relaxed multichannel least squares, IEEE/ACM Transactions on Audio, Speech and Language Processing, Vol. 22, Issue 9, pp. 1379-1390, Sep. 2014.
  76. S. Goetze, E. Albertin, J. Rennies, E.A.P. Habets and K.-D. Kammeyer
    Speech quality assessment for listening-room compensation, Journal of the Audio Engineering Society, Vol. 62, Nr. 6, pp. 386-399, Jun. 2014.
  77. M. Taseska and E.A.P. Habets
    Informed spatial filtering for sound extraction using distributed microphone arrays, IEEE/ACM Transactions on Audio, Speech and Language Processing, Vol. 22, Issue 7, pp. 1195-1207, Jul. 2014.
  78. O. Thiergart and E.A.P. Habets
    Extracting reverberant sound using a linearly constrained minimum variance spatial filter, IEEE Signal Processing Letters, Vol. 21, No. 5, pp. 630-634, 2014.
  79. D.P. Jarrett, M. Taseska, E.A.P. Habets and P.A. Naylor
    Noise reduction in the spherical harmonic domain using a tradeoff beamformer and narrowband DOA estimates, IEEE/ACM Transactions on Audio, Speech and Language Processing, Vol. 22, Issue 5, pp. 967-978, 2014.
  80. Y. Lacouture-Parodi, E.A.P. Habets, J. Chen and J. Benesty
    Multichannel noise reduction in the Karhunen-Loève expansion domain, IEEE/ACM Transactions on Audio, Speech and Language Processing, Vol. 22, Issue 5, pp. 923-936, 2014.
  81. O. Thiergart, G. Del Galdo, M. Taseska and E.A.P. Habets
    Geometry-based spatial sound acquisition using distributed microphone arrays, IEEE Transactions on Audio, Speech and Language Processing, Vol. 21, Issue 12, pp. 2583-2594, Dec. 2013.
  82. D.Y. Levin, E.A.P. Habets and S. Gannot
    A generalized theorem on the average array directivity factor, IEEE Signal Processing Letters, Vol. 20, No. 9, pp. 877-880, 2013.
  83. K. Kowalczyk, E.A.P. Habets, W. Kellermann and P.A. Naylor
    Blind system identification using sparse learning for TDOA estimation of room reflections, IEEE Signal Processing Letters, Vol. 20, No. 7, pp. 653-656, 2013.
  84. E.A.P. Habets and J. Benesty
    Multi-microphone noise reduction based on orthogonal noise signal decompositions, IEEE Transactions on Audio, Speech and Language Processing, Vol. 21, Issue 6, pp. 1123-1133, 2013.
  85. E.A.P. Habets and J. Benesty
    A two-stage beamforming approach for noise reduction and dereverberation, IEEE Transactions on Audio, Speech and Language Processing, Vol. 21, Issue 5, pp. 945-958, 2013.
  86. D.P. Jarrett and E.A.P. Habets
    On the noise reduction performance of a spherical harmonic domain tradeoff beamformer, IEEE Signal Processing Letters, Vol. 19, No. 11, Nov. 2012.
  87. D.P. Jarrett, E.A.P. Habets, M.R.P. Thomas and P.A Naylor
    Rigid sphere room impulse response simulation: algorithm and applications, The Journal of the Acoustical Society of America, Vol. 132, Issue 3, pp. 1462-1472, 2012.
  88. F. Antonacci, J. Filos, M.R.P. Thomas, E.A.P. Habets, S. Tubaro, A. Sarti and P.A. Naylor
    Inference of Room Geometry from Acoustic Impulse Responses, IEEE Transactions on Audio, Speech and Language Processing, Vol. 20, Issue 10, pp. 2683-2695, Aug. 2012.
  89. O. Thiergart, G. Del Galdo and E.A.P. Habets
    On the spatial coherence in mixed sound fields and its application to signal-to-diffuse ratio estimation, The Journal of the Acoustical Society of America, Vol. 132, Issue 4, pp. 2337-2346, 2012.
  90. D.Y. Levin, E.A.P. Habets and S. Gannot
    Maximum likelihood estimation of direction of arrival using an acoustic vector-sensor, The Journal of the Acoustical Society of America, Volume 131, Issue 2, pp. 1240-1248, 2012.
  91. E.A.P. Habets and J. Benesty
    A perspective on frequency-domain beamformers in room acoustics, IEEE Transactions on Audio, Speech and Language Processing, Vol. 20, Issue 3, pp. 947-960, Mar. 2012.
  92. E.A.P. Habets, J. Benesty and P.A. Naylor
    A speech distortion and interference rejection constraint beamformer, IEEE Transactions on Audio, Speech and Language Processing, Vol. 20, Issue 3, pp. 854-867, Mar. 2012.
  93. A. Levy, S. Gannot and E.A.P. Habets
    Multiple-hypothesis extended particle filter for acoustic source localization in reverberant environments, IEEE Transactions on Audio, Speech and Language Processing, Vol. 19, Issue 6, pp. 1540-1555, Aug. 2011.
  94. D.Y. Levin, E.A.P. 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, Issue 4, pp. 1800-1811, Oct. 2010.
  95. P.A. Naylor, N.D. Gaubitch and E.A.P. Habets
    Signal-based performance evaluation of dereverberation algorithms, Journal of Electrical and Computer Engineering (formerly Hindawi Research Letters in Signal Processing), 2010.
  96. E.A.P. Habets, J. Benesty, I. Cohen, S. Gannot and J. Dmochowski
    New insights into the MVDR beamformer in room acoustics, IEEE Transactions on Audio, Speech and Language Processing, Vol. 18, Issue 1, pp. 158-170, Jan. 2010.
  97. E.A.P. Habets, S. Gannot and I. Cohen
    Late reverberant spectral variance estimation based on a statistical model, 2014 SPS Signal Processing Letters Best Paper Award, IEEE Signal Processing Letters, Vol. 16, No. 9, pp. 770-773, Sep. 2009.
  98. E.A.P. Habets, I. Cohen and S. Gannot
    Generating nonstationary multisensor signals under a spatial coherence constraint, The Journal of the Acoustical Society of America, Vol. 124, Issue 5, pp. 2911-2917, Nov. 2008.
  99. E.A.P. Habets, S. Gannot, I. Cohen and P.C.W. Sommen
    Joint dereverberation and residual echo suppression of speech signals in noisy environments, IEEE Transactions on Audio, Speech and Language Processing, Vol. 16, Issue 8, pp. 1433-1451, Nov. 2008.
  100. E.A.P. Habets and S. Gannot
    Generating sensor signals in isotropic noise fields, The Journal of the Acoustical Society of America, Vol. 122, Issue 6, pp. 3464-3470, Dec. 2007.