dr.ir. R.C. Hendriks

Associate Professor
Signal Processing Systems (SPS), Department of Microelectronics


Promotor:

Expertise: Audio signal processing, signal processing for hearing aids, biomedical signal processing

Themes: Audio and acoustic signal processing, Biomedical signal processing/wavefield imaging, Distributed autonomous sensing systems

Biography

Richard C. Hendriks was born in Schiedam, The Netherlands. He received the B.Sc., M.Sc. (cum laude) and Ph.D. (cum laude) degrees in electrical engineering from the Delft University of Technology, Delft, The Netherlands, in 2001, 2003 and 2008, respectively.

Currently, he is an associate professor in the Signal Processing Systems group at Delft University of Technology, and director of studies of the B.Sc. Electrical Engineering program. In March 2010 he received a VENI grant for his proposal "Intelligibility Enhancement for Speech Communication Systems". He obtained several best paper awards, among which the IEEE Signal Processing Society best paper award in 2016. He served as an Associate Editor for both the IEEE/ACM Trans. on Audio, Speech, and Language Processing from 2015  - 2019 and the EURASIP Journal on Advances in Signal Processing from 2015 - 2020. Currently  he is a Senior Associate Editor with the IEEE/ACM Trans. on Audio, Speech, and Language Processing.

He served the IEEE as  an elected member of the IEEE Signal Processing Society Technical Committee on Audio and Acoustic Signal Processing during two terms: a first term during the years 2019 - 2021 and a second term starting in 2024. In addition, he was one of the main organisers and financial chair of Eusipco 2020 in Amsterdam. 
 

Research interest

His main research interest is on biomedical signal processing, and, audio and speech processing, including speech enhancement, speech intelligibility improvement and intelligibility modelling.

 

 

EE4715 Array processing

Array processing techniques for signal separation and parameter estimation

ET4386 Estimation and detection

Basics of detection and estimation theory, as used in statistical signal processing, adaptive beamforming, speech enhancement, radar, telecommunication, localization, system identification, and elsewhere.

Education history

EE4182 Digital audio and speech processing

(not running) Audio, speech and acoustic signal processing, speech enhancement, microphone-array signal processing

Communication technology unlocking the ocean – UCOMMS at the edge

Development of underwater communication techniques to improve the communication efficiency.

Personalized Auditory Scene Modification to Assist Hearing Impaired People

Algorithms to personalize the presented auditory scene for improved speech intelligibility and sound localization hearing impaired users

Model Based Parameter Estimation to Assist Hearing Assistive Devices

To jointly estimate all acoustic scene parameters that are required to successfully improve the speech intelligibility and preserve the spatial cues.

Projects history

Earlier recognition of cardiovascular diseases

Atrial Fibrillation FIngerPrinting: Spotting Bio-Electrical Markers to Early Recognize Atrial Fibrillation by the Use of a Bottom-Up Approach

Signal processing over wireless acoustic sensor networks

Microphone subset selection for WASNs

Smart sensing for Aviation

Detecting damages in composite material manufacturing

Spatially Correct Multi-Microphone Noise Reduction Strategies suitable for Hearing Aids

multichannel signal processing algorithms to help hearing aid users

Speech enhancement in wireless acoustic sensor networks

Distributed speech enhancement algorithms using a large number of microphones distributed in the environment

Intelligibility enhancement for speech communication systems

Can we do "precoding" of speech signals to enhance their intelligibility at the receiver, taking channel distortions and environmental noise into account?

Intelligibility Enhancement of Noisy Speech

The objective of the project is to develop a speech enhancement system which specifically aims at improving the intelligibility of the speech signal.

General signal processing

Robust joint multi-microphone parameter based on simultaneous confirmatory factor analysis

This software package is meant to estimate jointly all parameters in the multi-microphone setup using confirmatory factor analysis.

Software, Dec 2019

rate-distributed relative acoustic transfer function estimation

Software, Oct 2019

Calculation of the Mean Strain of Smooth Non-uniform Strain Fields Using Conventional FBG Sensors

Matlab code for Calculation of the Mean Strain of Smooth Non-uniform Strain Fields Using Conventional FBG Sensors

Software, May 2018

Generalized discrete Fourier transform (gDFT)

A generalized Fourier transform is introduced that enables linear convolutions without the need of zero-padding. This results in faster, more resource- efficient computations

Software, Jan 2011

Multi-Microphone

Joint Maximum Likelihood Estimation of Microphone Array Parameters for a Reverberant Single Source Scenario

Matlab software for estimating the ATF, source PSD, and late reverberation PSD for a single source scenario.

Software, Dec 2022

Robust joint multi-microphone parameter based on simultaneous confirmatory factor analysis

This software package is meant to estimate jointly all parameters in the multi-microphone setup using confirmatory factor analysis.

Software, Dec 2019

Distributed Rate-Constrained LCMV Beamforming

Software, Oct 2019

rate-distributed relative acoustic transfer function estimation

Software, Oct 2019

Distributed block-diagonal linearly constrained beamformer

Software, Apr 2019

joint binaural linearly constrained minimum variance (JBLCMV) binaural beamformer

Software, Apr 2019

relaxed binaural linearly constrained minimum variance (RJBLCMV) binaural beamformer

Software, Apr 2019

relaxed binaural linearly constrained minimum variance (RJBLCMV) binaural beamformer using semi-definite convex relaxation (SDCR)

Software, Apr 2019

Rate-Distributed Spatial Filtering Based Noise Reduction in Wireless Acoustic Sensor Networks

Software, Jun 2018

Microphone Subset Selection for MVDR Beamformer Based Noise Reduction

Software, Jan 2018

Parameter estimation for speech enhancement applications

Joint Maximum Likelihood Estimation of Microphone Array Parameters for a Reverberant Single Source Scenario

Matlab software for estimating the ATF, source PSD, and late reverberation PSD for a single source scenario.

Software, Dec 2022

Robust joint multi-microphone parameter based on simultaneous confirmatory factor analysis

This software package is meant to estimate jointly all parameters in the multi-microphone setup using confirmatory factor analysis.

Software, Dec 2019

Unbiased MMSE-based Noise Power Estimator

Software, Oct 2011

MMSE-based noise PSD tracker

Software, Mar 2010

Speech enhancement and noise PSD estimation

Robust joint multi-microphone parameter based on simultaneous confirmatory factor analysis

This software package is meant to estimate jointly all parameters in the multi-microphone setup using confirmatory factor analysis.

Software, Dec 2019

Distributed block-diagonal linearly constrained beamformer

Software, Apr 2019

joint binaural linearly constrained minimum variance (JBLCMV) binaural beamformer

Software, Apr 2019

relaxed binaural linearly constrained minimum variance (RJBLCMV) binaural beamformer

Software, Apr 2019

relaxed binaural linearly constrained minimum variance (RJBLCMV) binaural beamformer using semi-definite convex relaxation (SDCR)

Software, Apr 2019

Algorithm for Noise reduction for speech enhancement

DFT-based single channel noise reduction

Software, Jan 2013

Unbiased MMSE-based Noise Power Estimator

Software, Oct 2011

MMSE-based noise PSD tracker

Software, Mar 2010

GenGam Log MMSE

Toolbox for log-spectral magnitude MMSE estimators of DFT coefficients under super-Gaussian densities

Software, Jan 2009

GenGam

Toolbox for MMSE estimators of DFT coefficients under the generalized Gamma density

Software, Jan 2008

Speech intelligibility enhancement

Distributed Rate-Constrained LCMV Beamforming

Software, Oct 2019

Joint near-end and far-end intelligibility enhancement

Software, Jan 2017

Optimal energy redistribution for speech enhancement

Software, Feb 2015

STOI-Optimal N-of-M Channel Selection for Cochlear Implants

Software, Aug 2012

Near-End Speech Enhancement

Pre-processing algorithm to improve speech intelligibility in noise for the near-end listener.

Software, May 2012

Speech intelligibility prediction

STOI – Short-Time Objective Intelligibility

Software, Jan 2018

SIIB - Speech intelligibility in bits

Software, Jan 2018

Sensor Selection

Rate-Distributed Spatial Filtering Based Noise Reduction in Wireless Acoustic Sensor Networks

Software, Jun 2018

Microphone Subset Selection for MVDR Beamformer Based Noise Reduction

Software, Jan 2018

Biomedical Signal Processing

Simulation of transmembrane potentials and corresponding electrograms

Simulation of transmembrane potentials and corresponding electrograms, based on the monodomain and the Courtemanche models.

Software, Mar 2023

cardiac fibre direction estimator

Estimator of the cardiac fibre direction from local activation times of a piece of cardiac tissue,

Software, Mar 2023

Improved Local Activation Time Annotation in Fractionated Atrial Electrograms of Atrial Mappings

Matlab software for improved estimation Local Activation Time in Fractionated Atrial Electrograms

Software, Feb 2023

Beamforming based Atrial Activity estimation from Electrograms

Beamforming based Algorithms for Estimation of the Atrial Activity from Electrograms

Software, Aug 2022

Binaural speech enhancement

joint binaural linearly constrained minimum variance (JBLCMV) binaural beamformer

Software, Apr 2019

relaxed binaural linearly constrained minimum variance (RJBLCMV) binaural beamformer

Software, Apr 2019

relaxed binaural linearly constrained minimum variance (RJBLCMV) binaural beamformer using semi-definite convex relaxation (SDCR)

Software, Apr 2019

Distributed processing

Distributed Rate-Constrained LCMV Beamforming

Software, Oct 2019

rate-distributed relative acoustic transfer function estimation

Software, Oct 2019

  1. 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
    documentsoftware

  2. 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

  3. 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.

  4. 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.

  5. 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.

  6. 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: softwaresoftware

  7. 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.

  8. 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.

  9. 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.

  10. 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.

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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.

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

  17. 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

  18. 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

  19. 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.
    documentsoftware

  20. 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

  21. 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

  22. 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

  23. 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

  24. 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

  25. 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

  26. 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

  27. 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

  28. 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
    documentsoftware

  29. 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

  30. 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

  31. 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

  32. 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

  33. 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

  34. 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

  35. 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

  36. 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

  37. 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
    documentsoftware

  38. 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
    documentsoftware

  39. 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

  40. 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

  41. 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.
    documentsoftware

  42. 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
    documentsoftware

  43. 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

  44. 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.

  45. 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

  46. 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

  47. 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

  48. 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

  49. 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

  50. 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

  51. 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.
    documentsoftware

  52. 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.

  53. 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

  54. 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
    documentsoftware
    A Matlab implementation can be downloaded here

  55. 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

  56. 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
    documentsoftware

  57. 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.
    documentsoftware

  58. 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
    documentsoftware

  59. 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
    documentsoftware

  60. 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.

  61. 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

  62. 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
    documentsoftware

  63. 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

  64. 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.

  65. 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

  66. 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

  67. 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
    documentsoftwaresoftware

  68. 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
    documentsoftware

  69. 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

  70. 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

  71. 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

  72. 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

  73. 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

  74. 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

  75. 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

  76. 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.
    documentsoftware

  77. 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.
    documentsoftware

  78. 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

  79. 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

  80. 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

  81. 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

  82. 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
    documentsoftware

  83. 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

  84. 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

  85. 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

  86. 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

  87. 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

  88. 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

  89. 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

  90. 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

  91. 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

  92. 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

  93. 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

  94. 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.
    documentsoftware

  95. 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

  96. 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

  97. 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

  98. 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

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

  100. 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

  101. 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

  102. 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.
    documentsoftware

  103. 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

  104. 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

  105. 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

  106. 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

  107. 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

  108. 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

  109. 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

  110. 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.
    documentsoftware

  111. 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

  112. 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

  113. 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

  114. 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.

  115. 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.

  116. 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

  117. 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.
    documentsoftware

  118. 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
    documentsoftware

  119. 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

  120. 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

  121. 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.
    documentsoftware

  122. 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.

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

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

  125. 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.
    documentsoftware

  126. 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

  127. 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.
    documentsoftware

  128. 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

  129. 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

  130. 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.

  131. 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

  132. 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

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

  134. 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

  135. 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

  136. 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

  137. 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.
    documentsoftware

  138. 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.

  139. 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.
    documentsoftwaresoftware

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

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

  142. 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.
    documentsoftwaresoftware

  143. 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

  144. 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

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

  146. 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

  147. 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

  148. 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

  149. 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.
    documentsoftwaresoftware

  150. 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

  151. 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

  152. 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

  153. 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

  154. 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

  155. 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

  156. 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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