dr.ir. R.C. Hendriks
Signal Processing Systems (SPS), Department of Microelectronics
Expertise: Audio signal processing, signal processing for hearing aids, biomedical signal processing
Themes: Audio and acoustic signal processing, Biomedical signal processing, Distributed autonomous sensing systemsBiography
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 analysisThis 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 estimationSoftware, Oct 2019 |
Calculation of the Mean Strain of Smooth Non-uniform Strain Fields Using Conventional FBG SensorsMatlab code for Calculation of the Mean Strain of Smooth Non-uniform Strain Fields Using Conventional FBG SensorsSoftware, 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 computationsSoftware, Jan 2011 |
Multi-Microphone
Joint Maximum Likelihood Estimation of Microphone Array Parameters for a Reverberant Single Source ScenarioMatlab 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 analysisThis 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 BeamformingSoftware, Oct 2019 |
rate-distributed relative acoustic transfer function estimationSoftware, Oct 2019 |
Distributed block-diagonal linearly constrained beamformerSoftware, Apr 2019 |
joint binaural linearly constrained minimum variance (JBLCMV) binaural beamformerSoftware, Apr 2019 |
relaxed binaural linearly constrained minimum variance (RJBLCMV) binaural beamformerSoftware, 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 NetworksSoftware, Jun 2018 |
Microphone Subset Selection for MVDR Beamformer Based Noise ReductionSoftware, Jan 2018 |
Parameter estimation for speech enhancement applications
Joint Maximum Likelihood Estimation of Microphone Array Parameters for a Reverberant Single Source ScenarioMatlab 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 analysisThis 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 EstimatorSoftware, Oct 2011 |
MMSE-based noise PSD trackerSoftware, Mar 2010 |
Speech enhancement and noise PSD estimation
Robust joint multi-microphone parameter based on simultaneous confirmatory factor analysisThis 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 beamformerSoftware, Apr 2019 |
joint binaural linearly constrained minimum variance (JBLCMV) binaural beamformerSoftware, Apr 2019 |
relaxed binaural linearly constrained minimum variance (RJBLCMV) binaural beamformerSoftware, 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 enhancementDFT-based single channel noise reductionSoftware, Jan 2013 |
Unbiased MMSE-based Noise Power EstimatorSoftware, Oct 2011 |
MMSE-based noise PSD trackerSoftware, Mar 2010 |
GenGam Log MMSEToolbox for log-spectral magnitude MMSE estimators of DFT coefficients under super-Gaussian densitiesSoftware, Jan 2009 |
GenGamToolbox for MMSE estimators of DFT coefficients under the generalized Gamma densitySoftware, Jan 2008 |
Speech intelligibility enhancement
Distributed Rate-Constrained LCMV BeamformingSoftware, Oct 2019 |
Joint near-end and far-end intelligibility enhancementSoftware, Jan 2017 |
Optimal energy redistribution for speech enhancementSoftware, Feb 2015 |
STOI-Optimal N-of-M Channel Selection for Cochlear ImplantsSoftware, Aug 2012 |
Near-End Speech EnhancementPre-processing algorithm to improve speech intelligibility in noise for the near-end listener.Software, May 2012 |
Speech intelligibility prediction
STOI – Short-Time Objective IntelligibilitySoftware, Jan 2018 |
SIIB - Speech intelligibility in bitsSoftware, Jan 2018 |
Sensor Selection
Rate-Distributed Spatial Filtering Based Noise Reduction in Wireless Acoustic Sensor NetworksSoftware, Jun 2018 |
Microphone Subset Selection for MVDR Beamformer Based Noise ReductionSoftware, Jan 2018 |
Biomedical Signal Processing
Simulation of transmembrane potentials and corresponding electrogramsSimulation of transmembrane potentials and corresponding electrograms, based on the monodomain and the Courtemanche models.Software, Mar 2023 |
cardiac fibre direction estimatorEstimator 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 MappingsMatlab software for improved estimation Local Activation Time in Fractionated Atrial ElectrogramsSoftware, Feb 2023 |
Beamforming based Atrial Activity estimation from ElectrogramsBeamforming based Algorithms for Estimation of the Atrial Activity from ElectrogramsSoftware, Aug 2022 |
Binaural speech enhancement
Binaural Beamforming Taking into Account Spatial Release from MaskingSoftware, Aug 2024 |
joint binaural linearly constrained minimum variance (JBLCMV) binaural beamformerSoftware, Apr 2019 |
relaxed binaural linearly constrained minimum variance (RJBLCMV) binaural beamformerSoftware, 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 BeamformingSoftware, Oct 2019 |
rate-distributed relative acoustic transfer function estimationSoftware, Oct 2019 |
- Block-Based Perceptually Adaptive Sound Zones with Reproduction Error Constraints
N. de Koeijer; M Moller; J. Martinez; P. Martinez; R. C. Hendriks;
Trans. Audio, Speech and Language Processing,
2024. - Binaural Beamforming Taking into Account Spatial Release from Masking
Johannes W. de Vries; Steven van de Par; Geert Leus; Richard Heusdens; Richard C. Hendriks;
Trans. Audio, Speech and Language Processing, 2024.,
2024. Additional material: software - A Singular-value-based Map to Highlight Abnormal Regions Associated with Atrial Fibrillation Using High-resolution Electrograms and Multi-lead ECG
H. Moghaddasi; R.C. Hendriks; B. Hunyadi; P. Knops; M.S. van Schie; N.M.S. de Groot; A.J. van der Veen;
IEEE Trans. Biomedical Eng.,
2024. DOI: 10.1109/TBME.2024.3420412
document - Tensor decomposition-based data fusion for biomarker extraction from multiple EEG experiments
Kenneth Stunnenberg; Richard Hendriks; Jantien Vroegop; Marloes Adank; Borbala Hunyadi;
In International Conference on Acoustics, Speech, and Signal Processing (ICASSP),
2024. - Transmit and Receive Sensor Selection Using the Multiplicity in the Virtual Array
I. van der Werf; C. Kokke; R. Heusdens; R. C. Hendriks; G. Leus; M. Coutino;
In 32nd European Signal Processing Conference (EUSIPCO 2024),
2024. - HARMONICS TO THE RESCUE: WHY VOICED SPEECH IS NOT A WSS PROCESS
Giovanni Bologni; Richard Heusdens; Richard C. Hendriks;
In International Workshop on Acoustic Signal Enhancement (IWAENC),
2024. - A Comparison of Methods for Fiber Direction Estimation from Electrograms
Elena van Breukelen; Johannes Willem de Vries; Mathijs van schie; Natasja de Groot; Richard C. Hendriks;
In 2024 Computing in Cardiology (CinC),
2024. - Optimized Pilot Design for OTFS Modulation in Underwater Acoustic Communications
Ids van der Werf; Costas Pelekanakis; Richard Hendriks; Richard Heusdens; Geert Leus;
In Seventh Underwater Communications and Networking Conference 2024,
2024. - Joint Maximum Likelihood Estimation of Microphone Array Parameters for a Reverberant Single Source Scenario
Changheng Li; J. A. Martinez.; R. C. Hendriks;
Trans. Audio, Speech and Language Processing,
Volume 31, pp. 695 - 705, 2023. DOI: 10.1109/TASLP.2022.3231706
document • software - 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 - 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. - 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. - 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. - Estimation of Cardiac Fibre Direction Based on Activation Maps
J. W. de Vries; M. Sun; N. M. S. de Groot; R. C. Hendriks;
In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP),
2023. Additional material: software • software - 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. - 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. - 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. - 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. - 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 - 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 - 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 - 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 - 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. - On Loudspeakers as Recording Devices
Tobias Roest; Jorge Martinez; Han Oosterom; Richard C. Hendriks;
In 152nd AES Convention,
2022. - 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 - 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 - Estimation of the Atrial Activity from Electrograms: A Beamforming Perspective
Tijs Moree; Mathijs S. van Schie; Natasja M. S. de Groot; Richard C. Hendriks;
In Computing in Cardiology,
2022.
document • software - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - Improved local activation time annotation of fractionated atrial electrograms for atrial mapping
Bahareh Abdi; Richard C. Hendriks; Alle-Jan van der Veen; Natasja M.S. de Groot;
Computers in Biology and Medicine,
Volume 117, February 2020. ISSN: 0010-4825. DOI: 10.1016/j.compbiomed.2019.103590
document • software - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - A Convex Approximation of the Relaxed Binaural Beamforming Optimization Problem
Andreas I. Koutrouvelis; Richard C. Hendriks; Richard Heusdens; Jesper Jensen;
IEEE/ACM Trans. on Audio, Speech and Language Processing,
Volume 27, Issue 2, pp. 321-331, February 2019. DOI: 10.1109/TASLP.2018.2878618
document • software - Distributed Rate-Constrained LCMV Beamforming
Jie Zhang; Andreas Koutrouvelis; Richard Heusdens; Richard C. Hendriks;
IEEE Signal Processing Letters,
Volume 26, Issue 5, pp. 675-697, May 2019. DOI: 10.1109/LSP.2019.2905161
document • software - 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 - 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 - Robust Joint Estimation of MultiMicrophone Signal Model Parameters
Andreas I. Koutrouvelis; Richard C. Hendriks; Richard Heusdens; Jesper Jensen;;
Trans. Audio, Speech and Language Processing,
Volume 27, Issue 7, pp. 1136 - 1150, July 2019.
document • software - Relative Acoustic Transfer Function Estimation in Wireless Acoustic Sensor Networks
Jie Zhang; Richard Heusdens; Richard C. Hendriks;
IEEE/ACM Trans. on Audio, Speech and Language Processing,
Volume 27, Issue 10, pp. 1507 - 1519, 2019. DOI: 10.1109/TASLP.2019.2923542
document • software - 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 - 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. - 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 - 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 - 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 - 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 - 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 - 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 - Estimation of Sensor Array Signal Model Parameters Using Factor Analysis
Andreas I. Koutrouvelis ; Richard C. Hendriks; Richard Heusdens; Jesper Jensen;
In 27th European Signal Processing Conference (EUSIPCO 2019),
2019.
document • software - 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. - 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 - An Instrumental Intelligibility Metric Based on Information Theory
S. Van Kuyk; W. B. Kleijn; R. C. Hendriks;
IEEE Signal Processing Letters,
Volume 25, Issue 1, pp. 115-119, January 2018. ISSN: 1070-9908. DOI: 10.1109/LSP.2017.2774250
document • software
A Matlab implementation can be downloaded here - 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 - A Low-Cost Robust Distributed Linearly Constrained Beamformer for Wireless Acoustic Sensor Networks with Arbitrary Topology
A.I. Koutrouvelis; T.W. Sherson; R. Heusdens; R.C. Hendriks;
IEEE/ACM Transactions on Audio, Speech, and Language Processing,
Volume 26, Issue 8, pp. 1434-1448, August 2018. ISSN: 2329-9290. DOI: 10.1109/TASLP.2018.2829405
document • software - Calculation of the Mean Strain of Non-uniform Strain Fields Using Conventional FBG Sensors
Aydin Rajabzadeh; Richard Heusdens; Richard C. Hendriks; Roger M. Groves;
Journal of Lightwave Technology,
Volume 36, Issue 17, pp. 3716-3725, September 2018.
document • software - Rate-Distributed Spatial Filtering Based Noise Reduction in Wireless Acoustic Sensor Networks
Jie Zhang; R. Heusdens; R. C. Hendriks;
IEEE/ACM trans. Audio, Speech and Language Processing,
Volume 26, Issue 11, pp. 2015-2026, November 2018. ISSN: 2329-9290. DOI: 10.1109/TASLP.2018.2851157
document • software - Microphone Subset Selection for MVDR Beamformer Based Noise Reduction
Jie Zhang; S. P. Chepuri; R. C. Hendriks; R. Heusdens;
IEEE/ACM Transactions on Audio, Speech, and Language Processing,
Volume 26, Issue 3, pp. 550-563, March 2018. ISSN: 2329-9290. DOI: 10.1109/TASLP.2017.2786544
document • software - 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. - 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 - Analysis of FBG reflection spectra under anti-symmetrical strain distributions using the approximated transfer matrix model
A. Rajabzadeh; R.C. Hendriks; R. Heusdens; R.M. Groves;
In Proc. SPIE 10680, Optical Sensing and Detection V,
May 2018. DOI: 10.1117/12.2306381
document • software - 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 - 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. - 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 - 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 - Relaxed Binaural LCMV Beamforming
A. I. Koutrouvelis; R. C. Hendriks; R. Heusdens; J. Jensen;
IEEE/ACM Transactions on Audio, Speech, and Language Processing,
Volume 25, Issue 1, pp. 137-152, Jan. 2017. DOI: 10.1109/TASLP.2016.2628642
document • software • software - Intelligibility Enhancement Based on Mutual Information
S. Khademi; R.C. Hendriks; W.B. Kleijn;
IEEE/ACM Trans. Audio, Speech, Language Process.,
Volume 25, Issue 8, pp. 1694-1708, August 2017. ISSN 2329-9290. DOI: 10.1109/TASLP.2017.2714424
document • software - 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 - 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 - 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 - 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 - 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 - 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 - 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 - Jointly optimal near-end and far-end multi-microphone speech intelligibility enhancement based on mutual information
S. Khademi; R. C. Hendriks; W. B. Kleijn;
In Proc. IEEE Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP),
Shanghai, China, March 2016.
document • software - Improved multi-microphone noise reduction preserving binaural cues
A. Koutrouvelis; R. C. Hendriks; J. Jensen; R. Heusdens;
In Proc. IEEE Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP),
Shanghai, China, March 2016.
document • software - 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 - 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 - 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 - 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 - A Simple Model of Speech Communication and its Application to Intelligibility Enhancement
W.B. Kleijn; R.C. Hendriks;
IEEE Signal Processing Letters,
Volume 22, Issue 3, pp. 303-307, February 2015. DOI: 10.1109/LSP.2014.2351784
document • software - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - Speech Energy Redistribution for Intelligibility Improvement in Noise Based on a Perceptual Distortion Measure
C. H. Taal; R. C. Hendriks; R. Heusdens;
Computer Speech and Language,
Volume 2013, 2013.
document • software - 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 - 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 - 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 - 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 - Privacy Preserving Distributed Beamforming Based on Homomorphic Encryption
Richard C. Hendriks; Zekeriya Erkin; Timo Gerkmann;
In European Signal Proc. Conf. (EUSIPCO),
September 2013.
document - 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 - 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 - Unbiased MMSE-Based Noise Power Estimation with Low Complexity and Low Tracking Delay
Timo Gerkmann; Richard C. Hendriks;
IEEE Trans. Audio, Speech Language Proc.,
Volume 20, pp. 1383-1393, 2012.
document • software - 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 - 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 - 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 - 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 - 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 - 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 - 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 - A Speech Preprocessing Strategy For Intelligibility Improvement In Noise Based On A Perceptual Distortion Measure
Cees H. Taal; Richard C. Hendriks; Richard Heusdens;
In Proc. IEEE Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP),
pp. 4061-4064, May 2012.
document • software - 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 - 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 - 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 - 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. - 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. - 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 - An Algorithm for Intelligibility Prediction of Time-Frequency Weighted Noisy Speech
Cees H. Taal; Richard C. Hendriks; Richard Heusdens; Jesper Jensen;
IEEE Trans. Audio, Speech Language Proc.,
Volume 19, pp. 2125-2136, 2011.
document • software - A Generalized Poisson Summation Formula and its Application to Fast Linear Convolution
J. Martinez; R. Heusdens; R.C. Hendriks;
IEEE Signal Process. Lett.,
Volume 18, Issue 9, pp. 501-504, 2011. DOI: 10.1109/LSP.2011.2161078
document • software - 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 - 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 - Noise Power Estimation Based on the Probability of Speech Presence
Timo Gerkmann; Richard C. Hendriks;
In IEEE Workshop on Applications of Signal Processing to Audio and Acoustics,
New Paltz, pp. 145-148, October 2011.
document • software - 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. - Speech Intelligibility Predictor and Applications Thereof
C.H. Taal; R.C. Hendriks; R. Heusdens; U. Kjems; J. Jensen;
Patent, US2011/0224976, 2011. - Noise spectrum tracking in noisy acoustical signals
R.C. Hendriks; J. Jensen; U. Kjems; R. Heusdens;
Patent, EP 2164066 A1, 2011. - A Short-Time Objective Intelligibility Measure for Time-Frequency Weighted Noisy Speech
Cees H. Taal; Richard C. Hendriks; Richard Heusdens; Jesper Jensen;
In Proc. IEEE Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP),
Dallas, TX, pp. 4214-4217, 2010.
document • software - 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 - MMSE based noise PSD tracking with low complexity
Richard C. Hendriks; Richard Heusdens; Jesper Jensen;
In Proc. IEEE Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP),
Dallas, TX, pp. 4266-4269, March 2010.
document • software - 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 - 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 - 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. - 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 - 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 - Log-Spectral Magnitude MMSE Estimators under Super-Gaussian Densities
Richard C. Hendriks; Richard Heusdens; Jesper Jensen;
In Interspeech,
pp. 1319-1322, 2009.
document • software - 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 - 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 - 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 - On the Estimation of Complex Speech DFT Coefficients Without Assuming Independent Real and Imaginary Parts
Jan S. Erkelens; Richard C. Hendriks; Richard Heusdens;
IEEE Signal Processing Letters,
Volume 15, pp. 213-216, 2008.
document • software - 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. - Comparison of Complex-DFT estimators with and without the independence Assumption of Real and Imaginary Parts
Richard C. Hendriks; Jan S. Erkelens; Richard Heusdens;
In IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP),
2008.
document • software • software - Noise Tracking by Exploiting DFT-Domain Subspace Decompositions
Richard C. Hendriks; Jesper Jensen; Richard Heusdens;
In ITG-Fachtagung Sprachkommunikation (Aachen, Germany),
October 2008.
document - Advances in DFT-Based Single-Microphone Speech Enhancement
Richard C. Hendriks;
PhD thesis, TU Delft, February 2008.
document - Minimum mean-square error estimation of discrete Fourier coefficients with generalized Gamma priors.
Jan S. Erkelens; Richard C. Hendriks; Richard Heusdens; Jesper Jensen;
IEEE Trans. Audio, Speech Language Proc.,
Volume 15, Issue 6, pp. 1741-1752, August 2007.
document • software • software - 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 - 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 - DFT Domain Subspace Based Noise Tracking for Speech Enhancement
Richard C. Hendriks; Jesper Jensen; Richard Heusdens;
In Interspeech,
pp. 830-833, August 2007.
document - 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 - 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 - 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 - Minimum mean-square error amplitude estimators for speech enhancement under the generalized Gamma distribution
Richard C. Hendriks; Jan S. Erkelens; Jesper Jensen; Richard Heusdens;
In Proc. IEEE Int. Workshop on Acoustic Echo and Noise Control (IWAENC),
September 2006.
document • software • software - 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 - 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 - 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 - 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 - 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 - 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 - 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.
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Richard Hendriks
PhD students
MSc students
- Maryam Hussain
- Long Xin
Alumni
- Cecília Molnár (BE) (2024)
- Cecília Molnár (2024)
- Joos Vrijdag (2024)
- Michael Kraaijeveld (2024)
- Elena van Breukelen (2023)
- Chengyan Wang (2023)
- Kenneth Stunnenberg (2023)
- Anjali Suresan (2023)
- Teodor Licurici (2023)
- Koen Rodewijk (2023)
- Ilja Venema (2022)
- Stephy Annie Curie Rakesh Araya (2022)
- William Hunter (2022)
- Cees Kos (2022)
- Jordi de Vries (2022)
- Tijs Moree (2022)
- Ids van der Werf (2022)
- Tobias Roest (2022)
- Arthur Kordes (2021)
- Jeroen Roest (2021)
- Eris van Twist (2021)
- Niels de Koeijer (2021)
- Ellen Riemens (2021)
- Sarthak Agarwal (2021)
- Yuchen Yin (2020)
- Laurens Buijs (2020)
- Vasudha Sathyapriyan (2020)
- Bart Kölling (2019)
- Metin Calis (2019)
- Juriaan Van der Graaf (2019)
- Yuyang Wang (2018)
- Feng Ma (2018)
- Costas Kokke (2018)
- Makrina Sekeri (2018)
- Makrina Sekeri (BE) (2018)
- Sofia-Eirini Kotti (2018)
MSc project proposals
- Cell-to-sensor distance estimation for epicardiac measurements
- Cardiac Arrhythmia Data Analysis (several projects)
- Analysis of electrophysiologic data acquired on PhysioHeartTM platform (ex-vivo beating heart)
- Machine learning and speech enhancement
- Optimisation and Modelling of speech intelligibility
- Acoustic transfer function estimation for beamforming applications
- ACOUSTIC MODELING OF EARPLUGS
- Adaptive audio processing (with the company Axign)
- Decoding Emotions: Advanced Analysis of Vocal Expressions in Children With Hearing Impairment
- Spectral Noise Estimation for Hearing Aids
- Active Noise Reduction for MRIs
- In ear (with hearing aid) based Biomedical Signal Processing
- Audio processing in wireless earbuds (Several assignments with the company Dopple)
- Will High-Mobility Modulations Open Up the Ocean?