Independent component analysis (ICA) for blind equalization of frequency selective channels. - Chiu Shun Wong; Dragan Obradovic; Nilesh Madhu (NNSP, 2003)

Independent component analysis for semi-blind signal separation in MIMO mobile frequency selective communication channels. - Dragan Obradovic; Nilesh Madhu; Andrei Szabo; Chiu Shun Wong (IJCNN, 2004)

Robust speaker localization through adaptive weighted pair TDOA (AWEPAT) estimation. - Nilesh Madhu; Rainer Martin 001 (INTERSPEECH, 2005)

Temporal smoothing of spectral masks in the cepstral domain for speech separation. - Nilesh Madhu; Colin Breithaupt; Rainer Martin 001 (ICASSP, 2008)

AN EM-based probabilistic approach for Acoustic Echo Suppression. - Nilesh Madhu; Ivan Tashev; Alex Acero (ICASSP, 2008)

A New Performance Criterion for Microphone Array Geometries and Filterand- Sum Beamforming. - Sebastian Gergen; Rainer Martin 001; Nilesh Madhu (Sprachkommunikation, 2010)

A Versatile Framework for Speaker Separation Using a Model-Based Speaker Localization Approach. - Nilesh Madhu; Rainer Martin 001 (IEEE Trans. Speech Audio Process., 2011)

A unified treatment of the reference estimation problem in depth EEG recordings. - Nilesh Madhu; Radu Ranta; Louis Maillard; Laurent Koessler (Medical Biol. Eng. Comput., 2012)

Reference Estimation in EEG: Analysis of Equivalent Approaches. - Radu Ranta; Nilesh Madhu (IEEE Signal Process. Lett., 2012)

Consistent iterative hard thresholding for signal declipping. - Srdan Kitic; Laurent Jacques; Nilesh Madhu; Michael Peter Hopwood; Ann Spriet; Christophe De Vleeschouwer (ICASSP, 2013)

The Potential for Speech Intelligibility Improvement Using the Ideal Binary Mask and the Ideal Wiener Filter in Single Channel Noise Reduction Systems: Application to Auditory Prostheses. - Nilesh Madhu; Ann Spriet; Sofie Jansen; Raphael Koning; Jan Wouters (IEEE Trans. Speech Audio Process., 2013)

A hierarchical approach for the online, on-board detection and localisation of brake squeal using microphone arrays. - Nilesh Madhu; Rainer Martin 001; Heinz-Werner Rehn; Sebastian Gergen; A. Fischer (HSCMA, 2014)

Speaker recognition performance under ideal-knowledge noise suppression: an investigation. - Nilesh Madhu; Sung-Kyo Jung (SLAM@INTERSPEECH, 2014)

An iterative speech model-based a priori SNR estimator. - Samy Elshamy; Nilesh Madhu; Wouter Tirry; Tim Fingscheidt (INTERSPEECH, 2015)

Ideal Time-Frequency Masking Algorithms Lead to Different Speech Intelligibility and Quality in Normal-Hearing and Cochlear Implant Listeners. - Raphael Koning; Nilesh Madhu; Jan Wouters (IEEE Trans. Biomed. Eng., 2015)

New insights into the role of the head radius in model-based binaural speaker localization. - Mehdi Zohourian; Rainer Martin 001; Nilesh Madhu (EUSIPCO, 2017)

Two-stage speech enhancement with manipulation of the cepstral excitation. - Samy Elshamy; Nilesh Madhu; Wouter Tirry; Tim Fingscheidt (HSCMA, 2017)

Instantaneous A Priori SNR Estimation by Cepstral Excitation Manipulation. - Samy Elshamy; Nilesh Madhu; Wouter Tirry; Tim Fingscheidt (IEEE ACM Trans. Audio Speech Lang. Process., 2017)

Source separation by fuzzy-membership value aware beamforming and masking in ad hoc arrays. - Sebastian Gergen; Rainer Martin 001; Nilesh Madhu (ITG Symposium on Speech Communication, 2018)

Steered Mixture-of-Experts Approximation of Spherical Image Data. - Ruben Verhack; Nilesh Madhu; Glenn Van Wallendael; Peter Lambert; Thomas Sikora (EUSIPCO, 2018)

A Priori SNR Computation for Speech Enhancement Based on Cepstral Envelope Estimation. - Samy Elshamy; Nilesh Madhu; Wouter Tirry; Tim Fingscheidt (IWAENC, 2018)

Source Separation by Feature-Based Clustering of Microphones in Ad Hoc Arrays. - Sebastian Gergen; Rainer Martin 001; Nilesh Madhu (IWAENC, 2018)

DNN-Supported Speech Enhancement With Cepstral Estimation of Both Excitation and Envelope. - Samy Elshamy; Nilesh Madhu; Wouter Tirry; Tim Fingscheidt (IEEE ACM Trans. Audio Speech Lang. Process., 2018)

A New Weighted NMF Algorithm For Missing Data Interpolation And Its Application To Speech Enhancement. - Sushmita Thakallapalli; Suryakanth V. Gangashetty; Nilesh Madhu (EUSIPCO, 2019)

Generalized Refinement of Short-Term Fourier Spectra in Time- and Frequency- Domain and its Combination with Polyphase Filterbanks. - Mohammed Krini; Nilesh Madhu (ISSPIT, 2019)

Robust Period Estimation of Automated Cutting Systems by Improved Autocorrelation & Linear Regression Techniques. - Anthony McAtear; Ruben Gielen; Nilesh Madhu (EUSIPCO, 2020)

Least-Squares DOA Estimation with an Informed Phase Unwrapping and Full Bandwidth Robustness. - Alexander Bohlender; Ann Spriet; Wouter Tirry; Nilesh Madhu (ICASSP, 2020)

Spectral refinement with adaptive window-size selection for voicing detection and fundamental frequency estimation. - Nilesh Madhu; Mohammed Krini (ISSPIT, 2020)

2D Acoustic Source Localisation Using Decentralised Deep Neural Networks on Distributed Microphone Arrays. - Stijn Kindt; Alexander Bohlender; Nilesh Madhu (ITG Conference on Speech Communication, 2021)

Neural Networks Using Full-Band and Subband Spatial Features for Mask Based Source Separation. - Alexander Bohlender; Ann Spriet; Wouter Tirry; Nilesh Madhu (EUSIPCO, 2021)

Robust Acoustic Scene Classification in the Presence of Active Foreground Speech. - Siyuan Song; Brecht Desplanques; Celest De Moor; Kris Demuynck; Nilesh Madhu (EUSIPCO, 2021)

NMF-weighted SRP for multi-speaker direction of arrival estimation: robustness to spatial aliasing while exploiting sparsity in the atom-time domain. - Sushmita Thakallapalli; Suryakanth V. Gangashetty; Nilesh Madhu (EURASIP J. Audio Speech Music. Process., 2021)

Exploiting Temporal Context in CNN Based Multisource DOA Estimation. - Alexander Bohlender; Ann Spriet; Wouter Tirry; Nilesh Madhu (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Improved Separation of Closely-spaced Speakers by Exploiting Auxiliary Direction of Arrival Information within a U-Net Architecture. - Stijn Kindt; Alexander Bohlender; Nilesh Madhu (AVSS, 2022)

SoftVAD in iVector-Based Acoustic Scene Classification for Robustness to Foreground Speech. - Siyuan Song; Brecht Desplanques; Kris Demuynck; Nilesh Madhu (EUSIPCO, 2022)

Drone Ego-Noise Cancellation for Improved Speech Capture using Deep Convolutional Autoencoder Assisted Multistage Beamforming. - Yanjue Song; Stijn Kindt; Nilesh Madhu (FUSION, 2022)

Audio-Visual Active Speaker Identification: A comparison of dense image-based features and sparse facial landmark-based features. - Warre Geeroms; Gianni Allebosch; Stijn Kindt; Loubna Kadri; Peter Veelaert; Nilesh Madhu (SDF, 2022)

DOA-guided source separation with direction-based initialization and time annotations using complex angular central Gaussian mixture models. - Alexander Bohlender; Lucas Van Severen; Jonathan Sterckx; Nilesh Madhu (EURASIP J. Audio Speech Music. Process., 2022)

Portable and Non-Intrusive Fill-State Detection for Liquid-Freight Containers Based on Vibration Signals. - Yanjue Song; Ernest Van Hoecke; Nilesh Madhu (Sensors, 2022)

Improved CEM for Speech Harmonic Enhancement in Single Channel Noise Suppression. - Yanjue Song; Nilesh Madhu (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Enhancing Multichannel Laser-Doppler Vibrometry Signals with Application to (Carotid-Femoral) Pulse Transit Time Estimation. - Simeon Beeckman; Yanlu Li; Soren Aasmul; Roel Baets; Pierre Boutouyrie; Patrick Segers; Nilesh Madhu (EMBC, 2023)

Detecting Translocation of DNA Nanostructures Through Nanopores: First Steps Towards Structural Barcode Readout. - Pratima Upretee; Sybren Santermans; Koen M. Martens; Juliette Gevers; Sanjin Marion; Wouter Van den Bosch; Jan Fostier; Nilesh Madhu (EUSIPCO, 2023)

Improved Deep Speaker Localization and Tracking: Revised Training Paradigm and Controlled Latency. - Alexander Bohlender; Liesbeth Roelens; Nilesh Madhu (ICASSP, 2023)

Exploiting Speaker Embeddings for Improved Microphone Clustering and Speech Separation in ad-hoc Microphone Arrays. - Stijn Kindt; Jenthe Thienpondt; Nilesh Madhu (ICASSP, 2023)

Aiding Speech Harmonic Recovery in DNN-Based Single Channel Noise Reduction Using Cepstral Excitation Manipulation (CEM) Components. - Yanjue Song; Nilesh Madhu (ICASSP, 2023)

Margin-Mixup: A Method for Robust Speaker Verification In Multi-Speaker Audio. - Jenthe Thienpondt; Nilesh Madhu; Kris Demuynck (ICASSP, 2023)

Investigations on the Optimal Estimation of Speech Envelopes for the Two-Stage Speech Enhancement. - Yanjue Song; Nilesh Madhu (Sensors, 2023)

Robustness of ad hoc microphone clustering using speaker embeddings: evaluation under realistic and challenging scenarios. - Stijn Kindt; Jenthe Thienpondt; Luca Becker; Nilesh Madhu (EURASIP J. Audio Speech Music. Process., 2023)

Enhancing Neural Speech Embeddings for Generative Speech Models. - Doyeon Kim; Yanjue Song; Nilesh Madhu; Hong-Goo Kang (APSIPA, 2024)

On the Disentanglement and Robustness of Self-Supervised Speech Representations. - Yanjue Song; Doyeon Kim; Nilesh Madhu; Hong-Goo Kang (ICEIC, 2024)

Bitrate-Informed Coded Speech Enhancement Model. - Haixin Zhao; Nilesh Madhu (ICEIC, 2024)

Spectrum-Aware Neural Vocoder Based on Self-Supervised Learning for Speech Enhancement. - Yanjue Song; Doyeon Kim; Hong-Goo Kang; Nilesh Madhu (EUSIPCO, 2024)

Insights into Magnitude and Phase Estimation by Masking and Mapping in DNN-Based Multichannel Speaker Separation. - Alexander Bohlender; Ann Spriet; Wouter Tirry; Nilesh Madhu (ICASSP Workshops, 2024)

Phase Reconstruction in Single Channel Speech Enhancement Based on Phase Gradients and Estimated Clean-Speech Amplitudes. - Yanjue Song; Nilesh Madhu (ICASSP, 2024)

Enhanced Deep Speech Separation in Clustered Ad Hoc Distributed Microphone Environments. - Jihyun Kim; Stijn Kindt; Nilesh Madhu; Hong-Goo Kang (INTERSPEECH, 2024)

Weakly DOA Guided Speaker Separation with Random Look Directions and Iteratively Refined Target and Interference Priors. - Alexander Bohlender; Ann Spriet; Wouter Tirry; Nilesh Madhu (IWAENC, 2024)

Investigation On System Bandwidth For DNN-Based Binaural Sound Localisation For Hearing AIDS. - Jonas Van Damme; Stijn Kindt; Siyuan Song; Jasper Maes; Nilesh Madhu (IWAENC, 2024)

Efficient, Cluster-Informed, Deep Speech Separation with Cross-Cluster Information in AD-HOC Wireless Acoustic Sensor Networks. - Stijn Kindt; Jihyun Kim; Hong-Goo Kang; Nilesh Madhu (IWAENC, 2024)

Salient sound extraction using deep neural networks predicting complex masks. - Tomasz Grzywalski; Dick Botteldooren; Yanjue Song; Nilesh Madhu (SPA, 2024)

Evaluation of BLE-based audio broadcasting under probabilistic interference. - Mathias Baert; Bart Moons; Jowan Pittevils; Yanjue Song; Nilesh Madhu; Jeroen Hoebeke (Comput. Commun., 2024)

Spatially Selective Speaker Separation Using a DNN With a Location Dependent Feature Extraction. - Alexander Bohlender; Ann Spriet; Wouter Tirry; Nilesh Madhu (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Correction: Robustness of ad hoc microphone clustering using speaker embeddings: evaluation under realistic and challenging scenarios. - Stijn Kindt; Jenthe Thienpondt; Luca Becker; Nilesh Madhu (EURASIP J. Audio Speech Music. Process., 2024)

Study of Lightweight Transformer Architectures for Single-Channel Speech Enhancement. - Haixin Zhao; Nilesh Madhu (CoRR, 2025)

Coded speech enhancement using auxiliary utterance-level information. - Haixin Zhao; Nilesh Madhu (EURASIP J. Audio Speech Music. Process., 2025)