dr.ir. R.C. Hendriks

Associate Professor
Circuits and Systems (CAS), Department of Microelectronics


Promotor:

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

Themes: Health and Wellbeing

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 Circuits and Systems (signal processing) group of the Faculty of Electrical Engineering, Mathematics and Computer Science at Delft University of Technology. 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 is an Associate Editor for the IEEE/ACM Trans. on Audio, Speech, and Language Processing and the EURASIP Journal on Advances in Signal Processing, and serves as an elected member of the IEEE Signal Processing Society Technical Committee on Audio and Acoustic Signal Processing. He is one of the main organisers and financial chair of Eusipco 2020 in Amsterdam.

Research visits

  1. September 2005 till December 2005: Visiting Researcher at the Institute of Communication Acoustics, Ruhr-University Bochum, Bochum, Germany.
  2. March 2008 till March 2009: Visiting researcher at Oticon A/S, Smørum, Denmark.

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.

Available implementations from various projects

Microphone Subset Selection
  1. Microphone Subset Selection for MVDR Beamformer Based Noise Reduction

    Related papers:

    • J. Zhang, S. P. Chepuri, R. C. Hendriks and R. Heusdens. Microphone Subset Selection for MVDR Beamformer Based Noise Reduction, IEEE/ACM Trans. Audio, Speech, Language Process., 2018.

    Code: SeSelMVDR.zip

Intelligibility prediction
  1. STOI – Short-Time Objective Intelligibility

    Related papers:

    • C. H. Taal, R. C. Hendriks, R. Heusdens and J. Jensen. A Short-Time Objective Intelligibility Measure for Time-Frequency Weighted Noisy Speech, IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP), pp. 4214 - 4217, 2010.
    • C. H. Taal, R. C. Hendriks, R. Heusdens and J. Jensen. An Algorithm for Intelligibility Prediction of Time-Frequency Weighted Noisy Speech, IEEE Trans. Audio, Speech, Language Process., vol. 19, no. 7 pp. 2125-2136, 2011.

    Code: stoi.m

  2. Speech intelligibility in bits - SIIB

    Related papers:

    Code: siib_demo1.zip (updated on 23/8/17)

Intelligibility enhancement
  1. Joint near-end and far-end intelligibility enhancement based on mutual information

    Related papers:

    • S. Khademi, R. C. Hendriks and W. B. Kleijn. Intelligibility Enhancement Based on Mutual Information, IEEE/ACM Trans. Audio, Speech, Language Process., vol. 25, issue 8, pp. 1694 - 1708, Aug. 2017.
    • S. Khademi, R. C. Hendriks and W. B. Kleijn. Jointly optimal near-end and far-end multimicrophone speech intelligibility enhancement based on mutual information, In Proc. IEEE Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP), 2016.

    Code: JOINT_INT_ENH_MI.zip

  2. Optimal energy redistribution for speech enhancement based on a simple model for communication.

    Related papers:

    • W.B. Kleijn and R.C. Hendriks. “A simple model of speech communication and its application to intelligibility enhancement”, IEEE Signal Processing Letters, 2015.
    • W.B. Kleijn, J.B. Crespo, R.C. Hendriks, P. Petkov, B. Sauert and P. Vary. "Optimizing Speech Intelligibility in a Noisy Environment: A unified view", IEEE Signal Processing Magazine, Volume 32, Issue 2, pp. 43-54, March 2015.

    Code: optmi.zip

  3. Near-End Speech Enhancement Based on a Perceptual Distortion Measure

    Related papers:

    • C. H. Taal, R. C. Hendriks and R. Heusdens. Speech Energy Redistribution for Intelligibility Improvement in Noise Based on a Perceptual Distortion Measure, Computer Speech & Language, 2013.
    • C. H. Taal, R. C. Hendriks and R. Heusdens. A Speech Preprocessing Strategy For Intelligibility Improvement In Noise Based On A Perceptual Distortion Measure, IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP), pp. 4061-4064, 2012.

    Code: nearend.zip

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

    Related papers:

    • C. H. Taal, R. C. Hendriks and R. Heusdens. Matching Pursuit for Channel Selection in Cochlear Implants Based on an Intelligibility Metric, EURASIP Europ. Signal Process. Conf. (EUSIPCO) , 2012.

    Code: stoi_mp.zip

Speech enhancement and noise PSD estimation
  1. Algorithm for Noise reduction for speech enhancement

    This is an implementation of alg. 3 described in the book DFT-Domain Based Single-Microphone Noise Reduction for Speech Enhancement-A Survey of the State of the Art, by Richard C. Hendriks, Timo Gerkmann and Jesper Jensen; Morgan and Claypool Publishers, 2013.

    Related publication:

    • Richard C. Hendriks, Timo Gerkmann and Jesper Jensen, 'DFT-Domain Based Single-Microphone Noise Reduction for Speech Enhancement-A Survey of the State of the Art', Morgan and Claypool Publishers, 2013.

    Code: code_nr_alg3_book.zip

  2. GenGam

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

    Related papers:

    • J.S. Erkelens, R.C. Hendriks, R. Heusdens, and J. Jensen, "Minimum mean-square error estimation of discrete Fourier coefficients with generalized gamma priors", IEEE Trans. on Audio, Speech and Language Proc., vol. 15, no. 6, pp. 1741 - 1752, August 2007.
    • J.S. Erkelens, R.C. Hendriks and R. Heusdens "On the Estimation of Complex Speech DFT Coefficients without Assuming Independent Real and Imaginary Parts", IEEE Signal Processing Letters, 2008. and
    • R.C. Hendriks, J.S. Erkelens and R. Heusdens "Comparison of complex-DFT estimators with and without the independence assumption of real and imaginary parts", ICASSP, 2008.
    • R.C.Hendriks, R.Heusdens and J.Jensen "Log-spectral magnitude MMSE estimators under super-Gaussian densities", Interspeech, 2009.

    Code:

  3. Unbiased MMSE-based Noise Power Estimator

    Related papers:

    • Timo Gerkmann and Richard C. Hendriks, 'Unbiased MMSE-based Noise Power Estimation with Low Complexity and Low Tracking Delay', IEEE Trans. Audio, Speech and Language Processing, 2012.
    • Timo Gerkmann and Richard C. Hendriks, 'Noise Power Estimation Based on the Probability of Speech Presence', IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, New Paltz, NY, USA, Oct. 2011.

    Code: noisepowproposed.m

  4. MMSE-based noise PSD tracker

    Related papers:

    • R. C. Hendriks, R. Heusdens and J. Jensen MMSE Based Noise PSD Tracking With Low Complexity, IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP), pp. 4266-4269, 2010.

    Code: noise_tracker_V2.zip

General Signal Processing
  1. generalized discrete Fourier transform (gDFT)

    Related papers:

    • J. Martinez Castaneda, R. Heusdens and R. C. Hendriks. A Generalized Poisson Summation Formula and its Application to Fast Linear Convolution, IEEE Signal Process. Lett. , vol. 18, no. 9, pp. 501 -504, 2011.

    Code: GDFT_functions.zip

Current and past projects

  1. 2003 - 2008: STW project DET.6042 "Single-Microphone Enhancement of Noisy Speech Signals". A collaboration between Delft University of Technology and Philips Research.
  2. 2008 - 2013: STW project DIT.08051 "Intelligibility Enhancement of Noisy Speech". A collaboration between Delft University of Technology and Oticon A/S.
  3. July 2010 - present: Veni/STW project "Intelligibility Enhancement for Speech Communication Systems". A collaboration between Delft University of Technology and Bosch Security Systems B.V.
  4. 2010 - 2015: CSC project speech enhancement in wireless sensor networks.
  5. April 2014 - present: STW project Spatially Correct Multi-Microphone Noise
  6. 2016 - present: Smart sensing for Aviation.
  7. 2015 - present: CSC project speech enhancement in wireless sensor networks.
  8. 2015 - present: STW/Heart foundation project Earlier recognition of cardiovascular diseases (AFFIP)
  9. 2017 - present: CSC project Signal processing for atrial fibrillation.

EE2S31 Signal processing

Digital signal processing; stochastic processes

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.

IN4182 Digital audio and speech processing

Audio, speech and acoustic signal processing, speech enhancement, microphone-array signal processing

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

Projects history

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

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

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

Speech enhancement and noise PSD estimation

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

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. 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

  2. A Compact Matrix Model for Atrial Electrograms for Tissue Conductivity Estimation
    Bahareh Abdikivanani; 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

  3. 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

  4. 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

  5. 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

  6. 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,
    2019.

  7. 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

  8. 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,
    2019. Additional material: software

  9. 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,
    2019.
    document

  10. A Simplified Atrial Electrogram Model for Tissue Conductivity Estimation
    Bahareh Abdikivanani; 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.

  11. 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

  12. 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

  13. 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

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

  15. 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

  16. 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.

  17. Ventricular Activity Signal Removal in Atrial Electrograms of Atrial Fibrillation
    Bahareh Abdikivanani; 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

  18. Local Activation Time Estimation in Fractionated Electrograms of Cardiac Mappings
    Bahareh Abdikivanani; 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

  19. 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

  20. 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

  21. 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

  22. 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

  23. 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

  24. 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

  25. 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.

  26. 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

  27. 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

  28. 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

  29. 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.

  30. 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

  31. 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

  32. 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

  33. 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

  34. 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

  35. 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

  36. 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

  37. 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

  38. 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

  39. 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

  40. 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

  41. 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

  42. 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

  43. 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

  44. 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

  45. 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

  46. 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

  47. 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

  48. 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

  49. 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

  50. 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

  51. 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

  52. 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

  53. 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

  54. Multizone Speech Reinforcement
    Joao B. Crespo; Richard C. Hendriks;
    IEEE Trans. Audio, Speech Languange Proc.,
    Volume 22, Issue 1, pp. 54-66, January 2014.
    document

  55. Distributed Delay and Sum Beamformer for Speech Enhancement via Randomized Gossip
    Yuan Zeng; Richard C. Hendriks;
    IEEE Trans. Audio, Speech Language Proc.,
    Volume 22, Issue 1, pp. 260-273, January 2014.
    document

  56. 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

  57. 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

  58. 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

  59. 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

  60. 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

  61. 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

  62. A generalized Fourier domain: Signal processing framework and applications
    Jorge Martinez; Richard Heusdens; Richard C. Hendriks;
    Signal Processing,
    Volume 93, Issue 5, pp. 1259 - 1267, 2013. DOI: http://dx.doi.org/10.1016/j.sigpro.2012.10.015
    document

  63. 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

  64. 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

  65. 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

  66. 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

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

  68. 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

  69. 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

  70. 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

  71. 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

  72. 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

  73. 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

  74. 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

  75. 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

  76. 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

  77. 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

  78. 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

  79. 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

  80. 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

  81. 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

  82. 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.

  83. 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.

  84. 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

  85. 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

  86. A Generalized Poisson Summation Formula and its Application to Fast Linear Convolution
    Jorge Martinez; Richard Heusdens; Richard C. Hendriks;
    {IEEE} Signal Process. Lett.,
    Volume 18, Issue 9, pp. 501 -504, September 2011. DOI: 10.1109/LSP.2011.2161078

  87. 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

  88. 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

  89. 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

  90. 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

  91. 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.

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

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

  94. 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

  95. 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

  96. 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

  97. 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

  98. 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

  99. 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.

  100. 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

  101. 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

  102. 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

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

  104. 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

  105. 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

  106. 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

  107. 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.

  108. 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

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

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

  111. 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

  112. 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

  113. 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

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

  115. 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

  116. 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

  117. 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

  118. 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

  119. 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

  120. 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

  121. 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

  122. 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

  123. 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

  124. 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

  125. 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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Last updated: 3 Dec 2019