dr.ir. R.C. Hendriks

Projects history

General signal processing

Multi-Microphone

Parameter estimation for speech enhancement applications

Speech enhancement and noise PSD estimation

Speech intelligibility enhancement

Speech intelligibility prediction

Sensor Selection

Biomedical Signal Processing

Binaural speech enhancement

Distributed processing

1. Block-Based Perceptually Adaptive Sound Zones with Reproduction Error Constraints
   N. de Koeijer; M Moller; J. Martinez; P. Martinez; R. C. Hendriks;
   Trans. Audio, Speech and Language Processing,
   2024.

2. Binaural Beamforming Taking into Account Spatial Release from Masking
   Johannes W. de Vries; Steven van de Par; Geert Leus; Richard Heusdens; Richard C. Hendriks;
   Trans. Audio, Speech and Language Processing, 2024.,
   2024. Additional material: software

3. A Singular-value-based Map to Highlight Abnormal Regions Associated with Atrial Fibrillation Using High-resolution Electrograms and Multi-lead ECG
   H. Moghaddasi; R.C. Hendriks; B. Hunyadi; P. Knops; M.S. van Schie; N.M.S. de Groot; A.J. van der Veen;
   IEEE Trans. Biomedical Eng.,
   2024. DOI: 10.1109/TBME.2024.3420412
   document

4. Tensor decomposition-based data fusion for biomarker extraction from multiple EEG experiments
   Kenneth Stunnenberg; Richard Hendriks; Jantien Vroegop; Marloes Adank; Borbala Hunyadi;
   In International Conference on Acoustics, Speech, and Signal Processing (ICASSP),
   2024.

5. Transmit and Receive Sensor Selection Using the Multiplicity in the Virtual Array
   I. van der Werf; C. Kokke; R. Heusdens; R. C. Hendriks; G. Leus; M. Coutino;
   In 32nd European Signal Processing Conference (EUSIPCO 2024),
   2024.

6. HARMONICS TO THE RESCUE: WHY VOICED SPEECH IS NOT A WSS PROCESS
   Giovanni Bologni; Richard Heusdens; Richard C. Hendriks;
   In International Workshop on Acoustic Signal Enhancement (IWAENC),
   2024.

7. A Comparison of Methods for Fiber Direction Estimation from Electrograms
   Elena van Breukelen; Johannes Willem de Vries; Mathijs van schie; Natasja de Groot; Richard C. Hendriks;
   In 2024 Computing in Cardiology (CinC),
   2024.

8. Optimized Pilot Design for OTFS Modulation in Underwater Acoustic Communications
   Ids van der Werf; Costas Pelekanakis; Richard Hendriks; Richard Heusdens; Geert Leus;
   In Seventh Underwater Communications and Networking Conference 2024,
   2024.

9. Joint Maximum Likelihood Estimation of Microphone Array Parameters for a Reverberant Single Source Scenario
   Changheng Li; J. A. Martinez.; R. C. Hendriks;
   Trans. Audio, Speech and Language Processing,
   Volume 31, pp. 695 - 705, 2023. DOI: 10.1109/TASLP.2022.3231706
   document • software

10. Exploring the Use of Granger Causality for the Identification of Chemical Exposure Based on Physiological Data
    S. Difrancesco ; J. U. Van Baardewijk; A. S. Cornelissen; C. Varon; R. C. Hendriks; A. M. Brouwer;
    Frontiers in Network Physiology,
    Volume 3, 2023. DOI: 10.3389/fnetp.2023.1106650

11. High Dominant Frequencies and Fractionated Potentials Do Not Indicate Focal or Rotational Activation During AF
    L. N. van Staveren; R. C. Hendriks; Y. J. H. J. Taverne; N. M. S. de Groot;
    Journal of the American College of Cardiology: Clinical Electrophysiology,
    2023.

12. Alternating Least-Squares-Based Microphone Array Parameter Estimation for A Single-Source Reverberant and Noisy Acoustic Scenario
    Changheng Li; Richard C. Hendriks;
    IEEE Trans. Audio, speech and Lang. Proc.,
    2023.

13. On the equivalence of OSDM and OTFS
    I. van der Werf; H. S. Dol; K. C. H. Blom; R. Heusdens; R. C. Hendriks; G. J. T. Leus;
    Elsevier Signal Processing,
    2023.

14. Estimation of Cardiac Fibre Direction Based on Activation Maps
    J. W. de Vries; M. Sun; N. M. S. de Groot; R. C. Hendriks;
    In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP),
    2023. Additional material: software • software

15. Noise PSD Insensitive RTF Estimation in a Reverberant and Noisy Environment
    C. Li; R. C. Hendriks;
    In International Conference on Acoustics, Speech, and Signal Processing (ICASSP),
    2023.

16. Channel Parameter Estimation Using a Wideband LFM Preamble: Comparison of the Fractional Fourier Transform and Matched Filtering
    I. van der Werf; R. C. Hendriks; R. Heusdens;
    In In 31st European Signal Processing Conference (EUSIPCO 2023),
    2023.

17. Adaptive time segmentation for improved signal model parameter estimation for a single-source scenario
    Changheng Li; Richard Hendriks;
    In In Proc. of Asilomar Conference on Signals, Systems, and Computers (Asilomar), Monterey, California, USA,
    2023.

18. Transmit Waveform Design Based on the Cramér-Rao Lower Bound
    Ids van der Werf; Richard C. Hendriks; Richard Heusdens; Geert Leus;
    In Proc. of IEEE Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP),
    2023.

19. An accurate and efficient method to train classifiers for atrial fibrillation detection in ECGs: Learning by asking better questions
    F. J. Wesselius; M. S.van Schie ; N. M. S. de Groot; Richard C. Hendriks;
    Computers in Biology and Medicine,
    Volume 143, April 2022. DOI: 10.1016/j.compbiomed.2022.105331
    document

20. Joint cardiac tissue conductivity and activation time estimation using confirmatory factor analysis
    Miao Sun; Natasja de Groot; Richard C. Hendriks;
    Computers in Biology and Medicine,
    Volume 144, May 2022. DOI: 10.1016/j.compbiomed.2022.105393
    document

21. Classification of De Novo Post-Operative and Persistent Atrial Fibrillation Using Multi-Channel ECG Recordings
    Hanie Moghaddasi; Richard C. Hendriks; Alle-Jan van der Veen; Natasja M.S. de Groot; Borbala Hunyadi;
    Computers in Biology and Medicine,
    Volume 143, April 2022. DOI: 10.1016/j.compbiomed.2022.105270
    document

22. Low complex accurate multi-source RTF estimation
    Changheng Li; Jorge Martinez; Richard C. Hendriks;
    In Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP),
    2022.
    document

23. Quantifying Interactions between Physiological Signals to Identify Exposure to Different Chemicals
    J. U. van Baardewijk; S. Agarwal; A.S. Cornelissen; C. Varon; R.C. Hendriks; J. Kentrop; M.J.A. Joosen; A.-M. Brouwer;
    In Proceedings of Measuring Behavior 2022,
    2022.

24. On Loudspeakers as Recording Devices
    Tobias Roest; Jorge Martinez; Han Oosterom; Richard C. Hendriks;
    In 152nd AES Convention,
    2022.

25. On the integration of acoustics and LIDAR: A multi-modal approach to acoustic reflector estimation
    Ellen Riemens; Pablo Martinez-Nuevo; Jorge Martinez; Martin Moller; Richard C. Hendriks;
    In 30th European Signal Processing Conference (EUSIPCO 2022),
    2022.
    document

26. Towards gridless sound field reconstruction
    Ids van der Werf; Pablo Martínez-Nuevo; Martin Møller; Richard C. Hendriks; Jorge Martinez;
    In 30th European Signal Processing Conference (EUSIPCO 2022),
    2022.
    document

27. Estimation of the Atrial Activity from Electrograms: A Beamforming Perspective
    Tijs Moree; Mathijs S. van Schie; Natasja M. S. de Groot; Richard C. Hendriks;
    In Computing in Cardiology,
    2022.
    document • software

28. Surface Electrocardiogram Reconstruction Using Intra-operative Electrograms
    H. Moghaddasi; B. Hunyadi; A.J. van der Veen; N.M.S. de Groot; R.C. Hendriks;
    In 42nd WIC Symposium on Information Theory and Signal Processing in the Benelux (SITB 2022),
    Louvain la Neuve, Belgium, pp. 136, 2022.
    document

29. Novel rank-based features of atrial potentials for the classification between paroxysmal and persistent atrial fibrillation
    H. Moghaddasi; R.C. Hendriks; A.J. van der Veen; N.M.S. de Groot; B. Hunyadi;
    In 2022 Computing in Cardiology (CinC),
    IEEE, September 2022.
    document

30. Localization based on enhanced low frequency interaural level difference
    Metin Calis; Steven van de Par; Richard Heusdens; Richard C. Hendriks;
    IEEE Trans. Audio, Speech and Language processing,
    Issue 29, pp. 3025 - 3039, Sep. 2021. DOI: https://doi.org/10.1109/TASLP.2021.3111583
    document

31. Analyzing the Effect of Electrode Size on Electrogram and Activation Map Properties
    Bahareh Abdi; Mathijs S. van Schie; N. M. S. de Groot; Richard C. Hendriks;
    Computers in Biology and Medicine,
    Volume 134, July 2021. DOI: https://doi.org/10.1016/j.compbiomed.2021.104467
    document

32. Cardiac Tissue Conductivity Estimation Using Confirmatory Factor Analysis
    Miao Sun; Natasja M.S. de Groot; Richard C. Hendriks;
    Computers in Biology and Medicine,
    Volume 135, Aug. 2021. DOI: https://doi.org/10.1016/j.compbiomed.2021.104604
    document

33. Assessing the signal quality of electrocardiograms from varied acquisition sources: A generic machine learning pipeline for model generation
    A. Albaba; Neide Simoes-Capela; Yuyang Wang; Richard C. Hendriks; Walter De Raedt; Chris Van Hoof;
    Computers in Biology and Medicine,
    Volume 130, March 2021. DOI: 10.1016/j.compbiomed.2020.104164
    document

34. Digital Biomarkers and Algorithms for Detection of Atrial Fibrillation using Surface Electrocardiograms: A Systematic Review
    Fons J.Wesselius; Mathijs S. van Schie; Natasja M. S. de Groot; Richard C. Hendriks;
    Computers in Biology and Medicine,
    2021. DOI: https://doi.org/10.1016/j.compbiomed.2021.104404
    document

35. Binaural beam-forming with dominant spatial cue preservation for hearing aids
    Vasudha Sathyapriyan; Metin Calis; Richard C. Hendriks;
    In 29th European Signal Processing Conference (EUSIPCO 2021),
    2021.
    document

36. Improved local activation time annotation of fractionated atrial electrograms for atrial mapping
    Bahareh Abdi; Richard C. Hendriks; Alle-Jan van der Veen; Natasja M.S. de Groot;
    Computers in Biology and Medicine,
    Volume 117, February 2020. ISSN: 0010-4825. DOI: 10.1016/j.compbiomed.2019.103590
    document • software

37. A Study on Reference Microphone Selection for Multi-Microphone Speech Enhancement
    Jie Zhang; Huawei Chen; Li-Rong Dai; Richard C. Hendriks;
    IEEE Trans. Audio, Speech and Language Processing,
    Volume 29, pp. 671 - 683, Nov. 2020. DOI: 10.1109/TASLP.2020.3039930
    document

38. Spatially Correct Rate-Constrained Noise Reduction For Binaural Hearing Aids in Wireless Acoustic Sensor Networks
    Jamal Amini; Richard C. Hendriks; Richard Heusdens; Meng Guo; Jesper Jensen;
    IEEE Trans. Audio, Speech and Language processing,
    Volume 28, pp. 2731-2742, Oct. 2020. DOI: 10.1109/TASLP.2020.3028264
    document

39. Graph-Time Spectral Analysis for Atrial Fibrillation
    Miao Sun; Elvin Isufi; Natasja M.S. de Groot; Richard C. Hendriks;
    Biomedical Signal Processing and Control,
    Volume 59, May 2020. DOI: https://doi.org/10.1016/j.bspc.2020.101915
    document

40. A Privacy-Preserving Asynchronous Averaging Algorithm based on State Decomposition
    M. Calis; R. Heusdens; R.C. Hendriks;
    In 29th European Signal Processing Conference (EUSIPCO 2020),
    Amsterdam (Netherlands), EURASIP, pp. 2115-2119, August 2020.
    document

41. Local Activation Time Estimation in Atrial Electrograms Using Cross-Correlation over Higher-Order Neighbors
    B. Kolling; B. Abdi; N.M.S. de Groot; R.C. Hendriks;
    In 29th European Signal Processing Conference (EUSIPCO 2020),
    Amsterdam (Netherlands), EURASIP, pp. 905-909, August 2020.
    document

42. Clock-Offset and Microphone Gain Mismatch Invariant Beamforming
    S.E. Kotti; R. Heusdens; R.C. Hendriks;
    In 29th European Signal Processing Conference (EUSIPCO 2020),
    Amsterdam (Netherlands), EURASIP, pp. 176-180, August 2020.
    document

43. A Method for Determining the Length of FBG Sensors Accurately
    Aydin Rajabzadeh; Richard Heusdens; Richard C. Hendriks; Roger M. Groves;
    IEEE Photonics Technology Letters,
    Volume 31, Issue 2, pp. 197-200, January 2019. DOI: 10.1109/LPT.2019.2891009
    document

44. A Compact Matrix Model for Atrial Electrograms for Tissue Conductivity Estimation
    Bahareh Abdi; Richard C. Hendriks; Alle-Jan van der Veen; Natasja M. S. de Groot;
    Computers in Biology and Medicine,
    Volume 107, pp. 284-291, April 2019. DOI: 10.1016/j.compbiomed.2019.02.012
    document

45. A Convex Approximation of the Relaxed Binaural Beamforming Optimization Problem
    Andreas I. Koutrouvelis; Richard C. Hendriks; Richard Heusdens; Jesper Jensen;
    IEEE/ACM Trans. on Audio, Speech and Language Processing,
    Volume 27, Issue 2, pp. 321-331, February 2019. DOI: 10.1109/TASLP.2018.2878618
    document • software

46. Distributed Rate-Constrained LCMV Beamforming
    Jie Zhang; Andreas Koutrouvelis; Richard Heusdens; Richard C. Hendriks;
    IEEE Signal Processing Letters,
    Volume 26, Issue 5, pp. 675-697, May 2019. DOI: 10.1109/LSP.2019.2905161
    document • software

47. Asymmetric Coding for Rate-Constrained Noise Reduction in Binaural Hearing Aids
    Jamal Amini; Richard C. Hendriks; Richard Heusdens; Meng Guo; Jesper Jensen;
    IEEE/ACM Trans. on Audio, Speech and Language Processing,
    Volume 27, Issue 1, pp. 154-167, 2019. DOI: 10.1109/TASLP.2018.2876172
    document

48. Characterisation of Transverse Matrix Cracks in Composite Materials Using Fibre Bragg Grating Sensors
    A. Rajabzadeh; R. Heusdens; R. C. Hendriks; R. M. Groves;
    IEEE/OSA Journal of Lightwave Technology,
    Volume 37, Issue 18, pp. 4720 - 4727, 2019. DOI: 10.1109/JLT.2019.2919339
    document

49. Robust Joint Estimation of MultiMicrophone Signal Model Parameters
    Andreas I. Koutrouvelis; Richard C. Hendriks; Richard Heusdens; Jesper Jensen;;
    Trans. Audio, Speech and Language Processing,
    Volume 27, Issue 7, pp. 1136 - 1150, July 2019.
    document • software

50. Relative Acoustic Transfer Function Estimation in Wireless Acoustic Sensor Networks
    Jie Zhang; Richard Heusdens; Richard C. Hendriks;
    IEEE/ACM Trans. on Audio, Speech and Language Processing,
    Volume 27, Issue 10, pp. 1507 - 1519, 2019. DOI: 10.1109/TASLP.2019.2923542
    document • software

51. Rate-Constrained Noise Reduction in Wireless Acoustic Sensor Networks
    Jamal Amini; Richard C. Hendriks; Richard Heusdens; Meng Guo; Jesper Jensen;
    IEEE/ACM Trans. on Audio, Speech and Language Processing,
    Volume 28, Issue 1-12, 2019. DOI: 10.1109/TASLP.2019.2947777
    document

52. A Simplified Atrial Electrogram Model for Tissue Conductivity Estimation
    Bahareh Abdi; Richard C. Hendriks; Alle-Jan van der Veen; Natasja M. S. de Groot;
    In 7th Dutch Bio-Medical Engineering Conference (Book of abstracts),
    Egmond aan Zee (Netherlands), January 2019.

53. Local Activation Time Estimation in Fractionated Electrograms of Cardiac Mappings
    Bahareh Abdi; Alle-Jan van der Veen; Natasja de Groot; Richard C. Hendriks;
    In 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC),
    pp. 285-288, 2019. ISBN: 978-1-5386-1312-2. DOI: 10.1109/EMBC.2019.8856683
    document

54. A novel binaural beamforming scheme with low complexity minimizing binaural-cue distortions
    Andreas Koutrouvelis; Richard Hendriks; Richard Heusdens; Jesper Jensen; Meng Guo;
    In IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP),
    Brighton, UK, pp. 8013-8017, May 2019. DOI: 10.1109/ICASSP.2019.8682886
    document

55. Binaural beamforming based on automatic interferer selection
    Costas Kokke; Richard Hendriks; Andreas Koutrouvelis;
    In IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP),
    Brighton, UK, pp. 6850-6854, May 2019. DOI: 10.1109/ICASSP.2019.8683417
    document

56. Ventricular Activity Signal Removal in Atrial Electrograms of Atrial Fibrillation
    Bahareh Abdi; Richard C. Hendriks; Alle-Jan van der Veen; Natasja M. S. de Groot;
    In Biosignals,
    Prague (Czech Republic), pp. 179-184, February 2019. DOI: 10.5220/0007388901790184
    document

57. Sensor Selection and Rate Distribution Based Beamforming in Wireless Acoustic Sensor Networks
    Jie Zhang; Richard Heusdens; Richard C. Hendriks;
    In 27th European Signal Processing Conference (EUSIPCO 2019),
    2019.
    document

58. A Graph Signal Processing Framework for Atrial Activity Extraction
    Miao Sun; Elvin Isufi; M.S de Groot; Richard C. Hendriks;
    In 27th European Signal Processing Conference (EUSIPCO 2019),
    2019.
    document

59. Estimation of Sensor Array Signal Model Parameters Using Factor Analysis
    Andreas I. Koutrouvelis ; Richard C. Hendriks; Richard Heusdens; Jesper Jensen;
    In 27th European Signal Processing Conference (EUSIPCO 2019),
    2019.
    document • software

60. A method for determining the position of FBG sensors accurately
    Aydin Rajabzadeh; Richard C. Hendriks; Richard Heusdens; Roger M. Groves;
    In Proceedings Seventh European Workshop on Optical Fibre Sensors,
    2019.

61. Local activation time annotation in atrial electrogram arrays using deconvolution
    B. Abdi; R.C. Hendriks; A.J. van der Veen; N.M.S. de Groot;
    In 2019 Computing in Cardiology (CinC),
    IEEE, 2019. DOI: 10.23919/CinC49843.2019.9005874
    document

62. An Instrumental Intelligibility Metric Based on Information Theory
    S. Van Kuyk; W. B. Kleijn; R. C. Hendriks;
    IEEE Signal Processing Letters,
    Volume 25, Issue 1, pp. 115-119, January 2018. ISSN: 1070-9908. DOI: 10.1109/LSP.2017.2774250
    document • software
    A Matlab implementation can be downloaded here

63. An Evaluation of Intrusive Instrumental Intelligibility Metrics
    Steven Van Kuyk; W. Bastiaan Kleijn; Richard C. Hendriks;
    IEEE Trans. on Audio, Speech and Language Processing,
    Volume 26, Issue 11, pp. 2153-2166, November 2018. ISSN: 2329-9290. DOI: 10.1109/TASLP.2018.2856374
    document

64. A Low-Cost Robust Distributed Linearly Constrained Beamformer for Wireless Acoustic Sensor Networks with Arbitrary Topology
    A.I. Koutrouvelis; T.W. Sherson; R. Heusdens; R.C. Hendriks;
    IEEE/ACM Transactions on Audio, Speech, and Language Processing,
    Volume 26, Issue 8, pp. 1434-1448, August 2018. ISSN: 2329-9290. DOI: 10.1109/TASLP.2018.2829405
    document • software

65. Calculation of the Mean Strain of Non-uniform Strain Fields Using Conventional FBG Sensors
    Aydin Rajabzadeh; Richard Heusdens; Richard C. Hendriks; Roger M. Groves;
    Journal of Lightwave Technology,
    Volume 36, Issue 17, pp. 3716-3725, September 2018.
    document • software

66. Rate-Distributed Spatial Filtering Based Noise Reduction in Wireless Acoustic Sensor Networks
    Jie Zhang; R. Heusdens; R. C. Hendriks;
    IEEE/ACM trans. Audio, Speech and Language Processing,
    Volume 26, Issue 11, pp. 2015-2026, November 2018. ISSN: 2329-9290. DOI: 10.1109/TASLP.2018.2851157
    document • software

67. Microphone Subset Selection for MVDR Beamformer Based Noise Reduction
    Jie Zhang; S. P. Chepuri; R. C. Hendriks; R. Heusdens;
    IEEE/ACM Transactions on Audio, Speech, and Language Processing,
    Volume 26, Issue 3, pp. 550-563, March 2018. ISSN: 2329-9290. DOI: 10.1109/TASLP.2017.2786544
    document • software

68. Operational Rate-Constrained Beamforming in Binaural Hearing Aids
    J. Amini; R.C. Hendriks; R. Heusdens; Meng Guo; J. Jensen;
    In 26th European Signal Processing Conference (EUSIPCO 2018),
    2018.

69. Evaluation of Binaural Noise Reduction Methods in Terms of Intelligibility and Perceived Localization
    A. I. Koutrouvelis; R. C. Hendriks; R. Heusdens; S. van de Par; J. Jensen; Meng Guo;
    In 26th European Signal Processing Conference (EUSIPCO 2018),
    2018.
    document

70. Analysis of FBG reflection spectra under anti-symmetrical strain distributions using the approximated transfer matrix model
    A. Rajabzadeh; R.C. Hendriks; R. Heusdens; R.M. Groves;
    In Proc. SPIE 10680, Optical Sensing and Detection V,
    May 2018. DOI: 10.1117/12.2306381
    document • software

71. Rate-Distributed Binaural LCMV Beamforming for Assistive Hearing in Wireless Acoustic Sensor Networks
    Jie Zhang; Richard Heusdens; Richard Hendriks;
    In IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM),
    pp. 460-464, July 2018. ISSN: 2151-870X. DOI: 10.1109/SAM.2018.8448449
    document

72. Operational Rate-Constrained Noise Reduction for Generalized Binaural Hearing Aid Setups
    J. Amini; R.C. Hendriks; R. Heusdens; Meng Guo; Jesper Jensen;
    In 2018 Symposium on Information Theory and Signal Processing in the Benelux,
    University of Twente, Enschede, The Netherlands, May 2018.

73. Analysis of the Side-lobes of FBG Reflection Spectra From Matrix Cracks in Composites
    A. Rajabzadeh; R. Heusdens; R.C. Hendriks; R.M. Groves;
    In Optical Fiber Sensors,
    Lausanne (Switzerland), Optical Society of America, pp. TuE97, September 2018. ISBN: 978-1-943580-50-7.
    document

74. Binaural beamformer filtering unit, a hearing system and a hearing device
    Jesper Jensen; Meng Guo; Richard Heusdens; Richard Hendriks; Jamal Amini;
    Patent, US, EP EP 3306956A1, US 20180098, 2018. Assignee: Oticon AS.
    document

75. Relaxed Binaural LCMV Beamforming
    A. I. Koutrouvelis; R. C. Hendriks; R. Heusdens; J. Jensen;
    IEEE/ACM Transactions on Audio, Speech, and Language Processing,
    Volume 25, Issue 1, pp. 137-152, Jan. 2017. DOI: 10.1109/TASLP.2016.2628642
    document • software • software

76. Intelligibility Enhancement Based on Mutual Information
    S. Khademi; R.C. Hendriks; W.B. Kleijn;
    IEEE/ACM Trans. Audio, Speech, Language Process.,
    Volume 25, Issue 8, pp. 1694-1708, August 2017. ISSN 2329-9290. DOI: 10.1109/TASLP.2017.2714424
    document • software

77. Classification of composite damage from fiber Bragg grating load monitoring signals
    Aydin Rajabzadeh; Richard C. Hendriks; Richard Heusdens; Roger M. Groves;
    In Proc. SPIE 10168: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems,
    Portland (OR), SPIE, 2017. DOI: 10.1117/12.2257660
    document

78. Modelling non-uniform strain distributions in aerospace composites using fibre Bragg gratings
    Aydin Rajabzadeh; Roger M. Groves; Richard C. Hendriks; Richard Heusdens;
    In Proc. SPIE 10323: 25th International Conference on Optical Fiber Sensors,
    S. Korea, SPIE, 2017. DOI: 10.1117/12.2265376
    document

79. On the information rate of speech communication
    S. Van Kuyk; W.B. Kleijn; R.C. Hendriks;
    In Int. Conf. Audio Speech Signal Proc. (ICASSP),
    New Orleans (USA), IEEE, pp. 5625-5629, March 2017. DOI: 10.1109/ICASSP.2017.7953233
    document

80. Binaural Beamforming Using Pre-Determined Relative Acoustic Transfer Functions
    A. Koutrouvelis; R.C. Hendriks; R. Heusdens; J. Jensen; Meng Guo;
    In 25th European Signal Processing Conference (EUSIPCO 2017),
    Kos (Greece), EURASIP, pp. 1-5, August 2017. ISBN 978-0-9928626-7-1, ISSN: ISSN: 2076-1465. DOI: 10.23919/EUSIPCO.2017.8081277
    document

81. Binaural Speech Enhancement with Spatial Cue Preservation Utilising Simultaneous Masking
    A. Koutrouvelis; J. Jensen; Meng Guo; R.C. Hendriks; R. Heusdens;
    In 25th European Signal Processing Conference (EUSIPCO 2017),
    Kos (Greece), EURASIP, pp. 628-632, August 2017. ISBN 978-0-9928626-7-1. DOI: 10.23919/EUSIPCO.2017.8081277
    document

82. Distributed beamforming based on message passing
    Heusdens, R.; Guoqiang Zhang; Hendriks, R.; Yang Zeng; Kleijn, W.B.;
    Patent, US US9584909 B2, February 2017. Assignee: Google Inc..
    document

83. System and method for emitting and especially controlling an audio signal in an environment using an objective intelligibility measure
    Van Der Schaar, H.; Han, O.; Heusdens, R.; Hendriks, R.;
    Patent, US US9659571 B2, May 2017. Assignee: Robert Bosch Gmbh.
    document

84. Jointly optimal near-end and far-end multi-microphone speech intelligibility enhancement based on mutual information
    S. Khademi; R. C. Hendriks; W. B. Kleijn;
    In Proc. IEEE Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP),
    Shanghai, China, March 2016.
    document • software

85. Improved multi-microphone noise reduction preserving binaural cues
    A. Koutrouvelis; R. C. Hendriks; J. Jensen; R. Heusdens;
    In Proc. IEEE Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP),
    Shanghai, China, March 2016.
    document • software

86. Greedy Gossip Algorithm with Synchronous Communication for Wireless Sensor Networks
    Jie Zhang; R. C. Hendriks; R. Heusdens;
    In The 6th Joint WIC/IEEE Symposium on Information Theory and Signal Processing in the Benelux,
    pp. 228-235, 2016.
    document

87. STRUCTURED TOTAL LEAST SQUARES BASED INTERNAL DELAY ESTIMATION FOR DISTRIBUTED MICROPHONE AUTO-LOCALIZATION
    Jie Zhang; R. C. Hendriks; R. Heusdens;
    In International Workshop on Acoustic Signal Enhancement (IWAENC),
    2016.
    document

88. An intelligibility metric based on a simple model of speech communication
    S. van Kuyk; W. B. Kleijn; R. C. Hendriks;
    In International Workshop on Acoustic Signal Enhancement (IWAENC),
    2016. (Best student paper award).
    document

89. On the Impact of Quantization on Binaural MVDR Beamforming
    J. Amini; R. C. Hendriks; R. Heusdens; Meng Guo; Jesper Jensen;
    In Proc. 12th ITG Symposium on Speech Communication,
    2016.
    document

90. A Simple Model of Speech Communication and its Application to Intelligibility Enhancement
    W.B. Kleijn; R.C. Hendriks;
    IEEE Signal Processing Letters,
    Volume 22, Issue 3, pp. 303-307, February 2015. DOI: 10.1109/LSP.2014.2351784
    document • software

91. Optimizing Speech Intelligibility in a Noisy Environment: A unified view
    W.B. Kleijn; J.B. Crespo; R.C. Hendriks; P. Petkov; B. Sauert; P. Vary;
    IEEE Signal Processing Magazine,
    Volume 32, Issue 2, pp. 43-54, March 2015. DOI: 10.1109/MSP.2014.2365594 Additional material: software

92. Optimal Near-End Speech Intelligibility Improvement Incorporating Additive Noise and Late Reverberation under an Approximation of the Short-Time SII
    R. C. Hendriks; J. B. Crespo; J. Jensen; C. H. Taal;
    IEEE/ACM Trans. Audio, Speech, and Language Processing,
    2015.
    document

93. Distributed Estimation of the Inverse of the Correlation Matrix for Privacy Preserving Beamforming Signal Processing
    Yuan Zeng; R.C. Hendriks;
    Signal Processing,
    Volume 107, pp. 109-122, 2015.
    document

94. On clock synchronization for multi-microphone speech processing in wireless acoustic sensor networks
    Y. Zeng; R. C. Hendriks; N. D. Gaubitch;
    In Proc. IEEE Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP),
    Brisbane (Australia)} project = {audio,sewasn, 2015.
    document

95. Speech reinforcement in noisy reverberant conditions under an approximation of the short-time SII
    R. C. Hendriks; J. B. Crespo; J. Jensen; C. H. Taal;
    In Proc. IEEE Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP),
    Brisbane (Australia)} project = {audio,iescs, 2015.
    document

96. An Audio Game for Training Navigation Skills of Blind Children
    Bas Dado; Mick van Gelderen; Olivier Hokke; Kevin Allain; Miguel Oliveira; Ben Kybartas; Rafael Bidarra; Nikolay Gaubitch; Richard Hendriks;
    In Second International Workshop on Sonic Interactions in Virtual Environments,
    2015.
    document

97. Multizone Speech Reinforcement
    J.B. Crespo; R.C. Hendriks;
    IEEE/ACM Trans. Audio, Speech, and Language Processing,
    Volume 22, Issue 1, pp. 54-66, January 2014. DOI: 10.1109/TASL.2013.2283100
    document

98. Distributed Delay and Sum Beamformer for Speech Enhancement via Randomized Gossip
    Yuan Zeng; R.C. Hendriks;
    IEEE/ACM Trans. Audio, Speech, and Language Processing,
    Volume 22, Issue 1, pp. 260-273, January 2014. DOI: 10.1109/TASLP.2013.2290861
    document

99. Speech Reinforcement in Noisy Reverberant Environments Using a Perceptual Distortion Measure
    J.B. Crespo; R.C. Hendriks;
    In Proc. Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP 2014),
    Florence (Italy), IEEE, pp. 910-914, May 2014. DOI: 10.1109/ICASSP.2014.6853729
    document

100. Speech Reinforcement with a Globally Optimized Perceptual Distortion Measure for Noisy Reverberant Channels
     Joao B. Crespo; Richard C. Hendriks;
     In International Workshop on Acoustic Signal Enhancement (IWAENC),
     2014.
     document

101. A generalized Fourier domain: Signal processing framework and applications
     Jorge Martinez Castaneda; Richard Heusdens; Richard C. Hendriks;
     Signal Processing,
     Volume 93, pp. 1259-1267, 2013.
     document

102. Speech Energy Redistribution for Intelligibility Improvement in Noise Based on a Perceptual Distortion Measure
     C. H. Taal; R. C. Hendriks; R. Heusdens;
     Computer Speech and Language,
     Volume 2013, 2013.
     document • software

103. DFT-Domain Based Single-Microphone Noise Reduction for Speech Enhancement-A Survey of the State of the Art
     Richard C. Hendriks; Timo Gerkmann; Jesper Jensen;
     Morgan and Claypool Publishers, Volume 9 in Synthesis Lectures on Speech and Audio Processing, pp. 1-80, January 2013. DOI: 10.2200/S00473ED1V01Y201301SAP011 Additional material: software

104. Clique-based Distributed Beamforming for Speech Enhancement in Wireless Sensor Networks
     Yuan Zeng; Richard C. Hendriks; Richard Heusdens;
     In European Signal Proc. Conf. (EUSIPCO),
     September 2013.
     document

105. Evaluation of Instrumental Measures for the Prediction of Musical Noise in Enhanced Noisy Speech
     M. R. J. Gerrits; Richard C. Hendriks; Nikolay D. Gaubitch; Jesper Jensen; M. S. Pedersen;
     In 34th WIC Symposium on Information Theory in the Benelux,
     2013.
     document

106. Privacy-Preserving Distributed Speech Enhancement For Wireless Sensor Networks By Processing In The Encrypted Domain
     Richard C. Hendriks; Zekeriya Erkin; Timo Gerkmann;
     In Proc. IEEE Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP),
     Vancouver, Canada, IEEE, pp. 7005-7009, May 2013.
     document

107. Privacy Preserving Distributed Beamforming Based on Homomorphic Encryption
     Richard C. Hendriks; Zekeriya Erkin; Timo Gerkmann;
     In European Signal Proc. Conf. (EUSIPCO),
     September 2013.
     document

108. Multizone Near-End Speech Enhancement Under Optimal Second-Order Magnitude Distortion
     Joao B. Crespo; Richard C. Hendriks;
     In IEEE Workshop on Applications of Signal Processing to Audio and Acoustics 2013 (WASPAA 2013),
     New Paltz, USA, October 2013.
     document

109. A Low-complexity Spectro-Temporal Distortion Measure for Audio Processing Applications
     Cees H. Taal; Richard C. Hendriks; Richard Heusdens;
     IEEE Trans. Audio, Speech language Proc.,
     Volume 20, pp. 1553-1564, May 2012.
     document

110. Unbiased MMSE-Based Noise Power Estimation with Low Complexity and Low Tracking Delay
     Timo Gerkmann; Richard C. Hendriks;
     IEEE Trans. Audio, Speech Language Proc.,
     Volume 20, pp. 1383-1393, 2012.
     document • software

111. Spectral Magnitude Minimum Mean-Square Error Estimation Using Binary and Continuous Gain Functions
     Jesper Jensen; Richard C. Hendriks;
     IEEE Trans. Audio, Speech Language Proc.,
     Volume 20, pp. 92-102, January 2012.
     document

112. Noise Correlation Matrix Estimation for Multi-Microphone Speech Enhancement
     Richard C. Hendriks; Timo Gerkmann;
     IEEE Trans. Audio, Speech Language Proc.,
     Volume 20, pp. 223-233, January 2012.
     document

113. Distributed MVDR Beamforming for (Wireless) Microphone Networks using Message Passing
     Richard Heusdens; Guoqiang Zhang; Richard C. Hendriks; Yuan Zeng; W. Bastiaan Kleijn;
     In Proc. IEEE Int. Workshop on Acoustic Echo and Noise Control (IWAENC),
     September 2012.
     document

114. Distributed Delay and Sum Beamformer in Regular Networks Based on Synchronous Randomized Gossip
     Yuan Zeng; Richard C. Hendriks;
     In Proc. IEEE Int. Workshop on Acoustic Echo and Noise Control (IWAENC),
     September 2012.
     document

115. Distributed Delay And Sum Beamformer For Speech Enhancement In Wireless Sensor Networks Via Randomized Gossip
     Yuan Zeng; Richard C. Hendriks;
     In Proc. IEEE Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP),
     pp. 4037-4040, May 2012.
     document

116. Matching Pursuit for Channel Selection in Cochlear Implants Based on an Intelligibility Metric
     Cees H. Taal; Richard C. Hendriks; Richard Heusdens;
     In European Signal Proc. Conf. (EUSIPCO),
     August 2012. Additional material: software

117. Noise Power Spectral Density estimation for public address systems in noisy reverberant environments
     Neda Faraji; Richard C. Hendriks;
     In Proc. IEEE Int. Workshop on Acoustic Echo and Noise Control (IWAENC),
     September 2012.
     document

118. A Speech Preprocessing Strategy For Intelligibility Improvement In Noise Based On A Perceptual Distortion Measure
     Cees H. Taal; Richard C. Hendriks; Richard Heusdens;
     In Proc. IEEE Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP),
     pp. 4061-4064, May 2012.
     document • software

119. A Spatio-Temporal Generalized Fourier Domain Framework To Acoustic Modeling In Enclosed Spaces
     Jorge Martinez Castaneda; Richard Heusdens; Richard C. Hendriks;
     In Proc. IEEE Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP),
     pp. 529-532, May 2012.
     document

120. On Mutual Information As A Measure Of Speech Intelligibility
     Jalal Taghia; Richard C. Hendriks; Rainer Martin;
     In Proc. IEEE Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP),
     pp. 65-68, May 2012.
     document

121. Improved MMSE-Based Noise PSD Tracking Using Temporal Cepstrum Smoothing
     Timo Gerkmann; Richard C. Hendriks;
     In Proc. IEEE Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP),
     pp. 105-108, May 2012.
     document

122. System and method for emitting and especially controlling an audio signal in an environment using an objective intelligibility measure
     H. van der Schaar; H. Oosterom; R. Heusdens; R. C. Hendriks;
     Patent Publ. Nr. WO/2012/152323, Nov. 2012.

123. System and method for emitting and especially controlling an audio signal in an environment using an objective intelligibility measure
     H. van der Schaar; H. Oosterom; R. Heusdens; R. C. Hendriks;
     Patent, WO/2012/152323, 2012.

124. An Evaluation of Objective Measures for Intelligibility Prediction of Time-Frequency Weighted Noisy Speech
     Cees H. Taal; Richard C. Hendriks; Richard Heusdens; Jesper Jensen;
     Journal of the Acoustical Society of America,
     Volume 130, pp. 3013-3027, 2011.
     document

125. An Algorithm for Intelligibility Prediction of Time-Frequency Weighted Noisy Speech
     Cees H. Taal; Richard C. Hendriks; Richard Heusdens; Jesper Jensen;
     IEEE Trans. Audio, Speech Language Proc.,
     Volume 19, pp. 2125-2136, 2011.
     document • software

126. A Generalized Poisson Summation Formula and its Application to Fast Linear Convolution
     J. Martinez; R. Heusdens; R.C. Hendriks;
     IEEE Signal Process. Lett.,
     Volume 18, Issue 9, pp. 501-504, 2011. DOI: 10.1109/LSP.2011.2161078
     document • software

127. Spectral Magnitude Minimum Mean-Square Error Binary Masks for DFT based Speech Enhancement
     Jesper Jensen; Richard C. Hendriks;
     In Proc. IEEE Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP),
     pp. 4736-4739, 2011.
     document

128. Estimation of the Noise Correlation Matrix
     Richard C. Hendriks; Timo Gerkmann;
     In Proc. IEEE Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP),
     pp. 4740-4743, 2011.
     document

129. Noise Power Estimation Based on the Probability of Speech Presence
     Timo Gerkmann; Richard C. Hendriks;
     In IEEE Workshop on Applications of Signal Processing to Audio and Acoustics,
     New Paltz, pp. 145-148, October 2011.
     document • software

130. Speech Intelligibility Predictor and Applications Thereof
     Cees H. Taal; Richard C. Hendriks; Richard Heusdens; Ulrik Kjems; Jesper Jensen;
     US Patent Application 13/045303, March 2011.

131. Speech Intelligibility Predictor and Applications Thereof
     C.H. Taal; R.C. Hendriks; R. Heusdens; U. Kjems; J. Jensen;
     Patent, US2011/0224976, 2011.

132. Noise spectrum tracking in noisy acoustical signals
     R.C. Hendriks; J. Jensen; U. Kjems; R. Heusdens;
     Patent, EP 2164066 A1, 2011.

133. A Short-Time Objective Intelligibility Measure for Time-Frequency Weighted Noisy Speech
     Cees H. Taal; Richard C. Hendriks; Richard Heusdens; Jesper Jensen;
     In Proc. IEEE Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP),
     Dallas, TX, pp. 4214-4217, 2010.
     document • software

134. On linear versus non-linear magnitude-DFT estimators and the influence of super-Gaussian speech priors
     Richard C. Hendriks; Richard Heusdens;
     In Proc. IEEE Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP),
     Dallas, TX, pp. 4750-4753, 2010.
     document

135. MMSE based noise PSD tracking with low complexity
     Richard C. Hendriks; Richard Heusdens; Jesper Jensen;
     In Proc. IEEE Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP),
     Dallas, TX, pp. 4266-4269, March 2010.
     document • software

136. On Predicting the Difference in Intelligibility Before and After Single-Channel Noise Reduction
     Cees H. Taal; Richard C. Hendriks; Richard Heusdens; Jesper Jensen;
     In Proc. IEEE Int. Workshop on Acoustic Echo and Noise Control (IWAENC),
     Tel Aviv, Israel, September 2010.
     document

137. Intelligibility Prediction of Single-Channel Noise-Reduced Speech
     Cees H. Taal; Richard C. Hendriks; Richard Heusdens; Jesper Jensen;
     In ITG-Fachtagung Sprachkommunikation,
     Bochum, Germany, October 2010.
     document

138. Noise spectrum tracking in noisy acoustical signals
     Richard C. Hendriks; Jesper Jensen; Ulrik Kjems; Richard Heusdens;
     European Patent Application, March 2010. Publication number EP 2164066 A1.

139. Low Complexity DFT-Domain Noise PSD Tracking Using High-Resolution Periodograms
     Richard C. Hendriks; Richard Heusdens; Jesper Jensen; Ulrik Kjems;
     Eurasip Journal on Advances in Signal Processing,
     Volume 2009, 2009.
     document

140. On Optimal Multichannel Mean-Squared Error Estimators for Speech Enhancement
     Richard C. Hendriks; Richard Heusdens; Ulrik Kjems; Jesper Jensen;
     IEEE Signal Processing Letters,
     Volume 16, Issue 10, pp. 885-888, October 2009.
     document

141. Log-Spectral Magnitude MMSE Estimators under Super-Gaussian Densities
     Richard C. Hendriks; Richard Heusdens; Jesper Jensen;
     In Interspeech,
     pp. 1319-1322, 2009.
     document • software

142. On Robustness of Multi-Channel Minimum Mean-Squared Error Estimators under Super-Gaussian Priors
     Richard C. Hendriks; Richard Heusdens; Jesper Jensen;
     In IEEE Workshop on Applications of Signal Processing to Audio and Acoustics,
     pp. 157-160, 2009.
     document

143. Fast noise PSD estimation with low complexity
     Richard C. Hendriks; Richard Heusdens; Jesper Jensen; Ulrik Kjems;
     In Proc. IEEE Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP),
     pp. 3881-3884, 2009.
     document

144. An Evaluation of Objective Quality Measures for Speech Intelligibility Prediction
     Cees H. Taal; Richard C. Hendriks; Richard Heusdens; Jesper Jensen; Ulrik Kjems;
     In Interspeech,
     pp. 1947-1950, 2009.
     document

145. On the Estimation of Complex Speech DFT Coefficients Without Assuming Independent Real and Imaginary Parts
     Jan S. Erkelens; Richard C. Hendriks; Richard Heusdens;
     IEEE Signal Processing Letters,
     Volume 15, pp. 213-216, 2008.
     document • software

146. Noise Tracking using DFT Domain Subspace Decompositions
     Richard C. Hendriks; Jesper Jensen; Richard Heusdens;
     IEEE Trans. Audio, Speech Language Proc.,
     Volume 16, Issue 3, pp. 541-553, March 2008.

147. Comparison of Complex-DFT estimators with and without the independence Assumption of Real and Imaginary Parts
     Richard C. Hendriks; Jan S. Erkelens; Richard Heusdens;
     In IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP),
     2008.
     document • software • software

148. Noise Tracking by Exploiting DFT-Domain Subspace Decompositions
     Richard C. Hendriks; Jesper Jensen; Richard Heusdens;
     In ITG-Fachtagung Sprachkommunikation (Aachen, Germany),
     October 2008.
     document

149. Advances in DFT-Based Single-Microphone Speech Enhancement
     Richard C. Hendriks;
     PhD thesis, TU Delft, February 2008.
     document

150. Minimum mean-square error estimation of discrete Fourier coefficients with generalized Gamma priors.
     Jan S. Erkelens; Richard C. Hendriks; Richard Heusdens; Jesper Jensen;
     IEEE Trans. Audio, Speech Language Proc.,
     Volume 15, Issue 6, pp. 1741-1752, August 2007.
     document • software • software

151. An MMSE Estimator for Speech Enhancement under a Combined Stochastic-Deterministic Speech Model
     Richard C. Hendriks; Richard Heusdens; Jesper Jensen;
     IEEE Trans. Audio, Speech Language Proc.,
     Volume 15, Issue 2, pp. 406-415, February 2007.
     document

152. MAP estimators for speech enhancement under normal and Rayleigh inverse Gaussian distributions
     Richard C. Hendriks; Rainer Martin;
     IEEE Trans. Audio, Speech Language Proc.,
     Volume 15, Issue 3, pp. 918-927, March 2007.
     document

153. DFT Domain Subspace Based Noise Tracking for Speech Enhancement
     Richard C. Hendriks; Jesper Jensen; Richard Heusdens;
     In Interspeech,
     pp. 830-833, August 2007.
     document

154. Adaptive Time Segmentation for Improved Speech Enhancement
     Richard C. Hendriks; Richard Heusdens; Jesper Jensen;
     IEEE Trans. Audio, Speech Language Proc.,
     Volume 14, Issue 6, pp. 2064-2074, November 2006.
     document

155. Speech Enhancement under a Combined Stochastic-Deterministic Model
     Richard C. Hendriks; Richard Heusdens; Jesper Jensen;
     In IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP),
     pp. 453-456, May 2006.
     document

156. MMSE estimation of complex-valued discrete Fourier coefficients with generalized gamma priors
     Jesper Jensen; Richard C. Hendriks; Jan S. Erkelens; Richard Heusdens;
     In Interspeech,
     pp. 257-260, September 2006.
     document

157. Minimum mean-square error amplitude estimators for speech enhancement under the generalized Gamma distribution
     Richard C. Hendriks; Jan S. Erkelens; Jesper Jensen; Richard Heusdens;
     In Proc. IEEE Int. Workshop on Acoustic Echo and Noise Control (IWAENC),
     September 2006.
     document • software • software

158. A Study of the Distribution of Time-Domain Speech Samples and Discrete Fourier Coefficients
     Jesper Jensen; Ivo Batina; Richard C. Hendriks; Richard Heusdens;
     In Proc. IEEE First Benelux/DSP Valley Signal Processing Symposium,
     pp. 155-158, April 2005.
     document

159. Improved Subspace Based Speech Enhancement Using an Adaptive Time Segmentation
     Richard C. Hendriks; Richard Heusdens; Jesper Jensen;
     In Proc. IEEE First Benelux/DSP Valley Signal Processing Symposium,
     pp. 163-166, April 2005.
     document

160. Adaptive Time Segmentation of Noisy Speech for Improved Speech Enhancement
     Richard C. Hendriks; Richard Heusdens; Jesper Jensen;
     In IEEE Int. Conf. Acoust., Speech,Signal Processing (ICASSP),
     pp. 153-156, March 2005.
     document

161. Smoothed Subspace Based Noise Suppression with Application to Speech Enhancement
     Jesper Jensen; Richard C. Hendriks; Richard Heusdens; S.H. Jensen;
     In European Signal Processing Conference (EUSIPCO),
     Antalya, Turkey, September 2005.
     document

162. Improved Decision Directed Approach for Speech Enhancement Using an Adaptive Time Segmentation
     Richard C. Hendriks; Richard Heusdens; Jesper Jensen;
     In Interspeech,
     pp. 2101-2104, September 2005.
     document

163. Forward-Backward Decision Directed Approach for Speech Enhancement
     Richard C. Hendriks; Richard Heusdens; Jesper Jensen;
     In Int. Workshop Acoustic Echo and Noise Control (IWAENC),
     pp. 109-112, September 2005.
     document

164. Perceptual linear predictive noise modelling for sinusoid-plus-noise audio coding
     Richard C. Hendriks; Richard Heusdens; Jesper Jensen;
     In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP),
     pp. 189-192, May 2004.
     document

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