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2020 – today
- 2024
[j17]Mathias Baert
, Bart Moons, Jowan Pittevils, Yanjue Song, Nilesh Madhu, Jeroen Hoebeke:
Evaluation of BLE-based audio broadcasting under probabilistic interference. Comput. Commun. 222: 130-140 (2024)- [j16]Stijn Kindt, Jenthe Thienpondt, Luca Becker, Nilesh Madhu:
Correction: Robustness of ad hoc microphone clustering using speaker embeddings: evaluation under realistic and challenging scenarios. EURASIP J. Audio Speech Music. Process. 2024(1): 5 (2024) - [j15]Alexander Bohlender, Ann Spriet, Wouter Tirry, Nilesh Madhu:
Spatially Selective Speaker Separation Using a DNN With a Location Dependent Feature Extraction. IEEE ACM Trans. Audio Speech Lang. Process. 32: 930-945 (2024) - [c42]Yanjue Song, Doyeon Kim, Nilesh Madhu, Hong-Goo Kang:
On the Disentanglement and Robustness of Self-Supervised Speech Representations. ICEIC 2024: 1-4 - [c41]Haixin Zhao, Nilesh Madhu:
Bitrate-Informed Coded Speech Enhancement Model. ICEIC 2024: 1-4 - [c40]Yanjue Song, Doyeon Kim, Hong-Goo Kang, Nilesh Madhu:
Spectrum-Aware Neural Vocoder Based on Self-Supervised Learning for Speech Enhancement. EUSIPCO 2024: 16-20 - [c39]Alexander Bohlender, Ann Spriet, Wouter Tirry, Nilesh Madhu:
Insights into Magnitude and Phase Estimation by Masking and Mapping in DNN-Based Multichannel Speaker Separation. ICASSP Workshops 2024: 500-504 - [c38]Yanjue Song, Nilesh Madhu:
Phase Reconstruction in Single Channel Speech Enhancement Based on Phase Gradients and Estimated Clean-Speech Amplitudes. ICASSP 2024: 1461-1465 - [c37]Jonas Van Damme, Stijn Kindt, Siyuan Song, Jasper Maes, Nilesh Madhu:
Investigation On System Bandwidth For DNN-Based Binaural Sound Localisation For Hearing AIDS. IWAENC 2024: 26-30 - [c36]Alexander Bohlender, Ann Spriet, Wouter Tirry, Nilesh Madhu:
Weakly DOA Guided Speaker Separation with Random Look Directions and Iteratively Refined Target and Interference Priors. IWAENC 2024: 80-84 - [c35]Stijn Kindt, Jihyun Kim, Hong-Goo Kang, Nilesh Madhu:
Efficient, Cluster-Informed, Deep Speech Separation with Cross-Cluster Information in AD-HOC Wireless Acoustic Sensor Networks. IWAENC 2024: 245-249 - [c34]Tomasz Grzywalski, Dick Botteldooren, Yanjue Song, Nilesh Madhu:
Salient sound extraction using deep neural networks predicting complex masks. SPA 2024: 166-171 - 2023
- [j14]Stijn Kindt, Jenthe Thienpondt, Luca Becker, Nilesh Madhu:
Robustness of ad hoc microphone clustering using speaker embeddings: evaluation under realistic and challenging scenarios. EURASIP J. Audio Speech Music. Process. 2023(1): 46 (2023) - [j13]Yanjue Song, Nilesh Madhu:
Investigations on the Optimal Estimation of Speech Envelopes for the Two-Stage Speech Enhancement. Sensors 23(14): 6438 (2023) - [c33]Simeon Beeckman, Yanlu Li, Soren Aasmul, Roel Baets, Pierre Boutouyrie, Patrick Segers, Nilesh Madhu:
Enhancing Multichannel Laser-Doppler Vibrometry Signals with Application to (Carotid-Femoral) Pulse Transit Time Estimation. EMBC 2023: 1-7 - [c32]Pratima Upretee, Sybren Santermans, Koen M. Martens, Juliette Gevers, Sanjin Marion, Wouter Van den Bosch, Jan Fostier, Nilesh Madhu:
Detecting Translocation of DNA Nanostructures Through Nanopores: First Steps Towards Structural Barcode Readout. EUSIPCO 2023: 1205-1209 - [c31]Alexander Bohlender, Liesbeth Roelens, Nilesh Madhu:
Improved Deep Speaker Localization and Tracking: Revised Training Paradigm and Controlled Latency. ICASSP 2023: 1-5 - [c30]Stijn Kindt, Jenthe Thienpondt, Nilesh Madhu:
Exploiting Speaker Embeddings for Improved Microphone Clustering and Speech Separation in ad-hoc Microphone Arrays. ICASSP 2023: 1-5 - [c29]Yanjue Song, Nilesh Madhu:
Aiding Speech Harmonic Recovery in DNN-Based Single Channel Noise Reduction Using Cepstral Excitation Manipulation (CEM) Components. ICASSP 2023: 1-5 - [c28]Jenthe Thienpondt, Nilesh Madhu, Kris Demuynck:
Margin-Mixup: A Method for Robust Speaker Verification In Multi-Speaker Audio. ICASSP 2023: 1-5 - [i3]Jenthe Thienpondt, Nilesh Madhu, Kris Demuynck:
Margin-Mixup: A Method for Robust Speaker Verification in Multi-Speaker Audio. CoRR abs/2304.03515 (2023) - 2022
- [j12]Alexander Bohlender, Lucas Van Severen, Jonathan Sterckx, Nilesh Madhu:
DOA-guided source separation with direction-based initialization and time annotations using complex angular central Gaussian mixture models. EURASIP J. Audio Speech Music. Process. 2022(1): 16 (2022) - [j11]Yanjue Song, Ernest Van Hoecke, Nilesh Madhu:
Portable and Non-Intrusive Fill-State Detection for Liquid-Freight Containers Based on Vibration Signals. Sensors 22(20): 7901 (2022) - [j10]Yanjue Song, Nilesh Madhu:
Improved CEM for Speech Harmonic Enhancement in Single Channel Noise Suppression. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2492-2503 (2022) - [c27]Stijn Kindt, Alexander Bohlender, Nilesh Madhu:
Improved Separation of Closely-spaced Speakers by Exploiting Auxiliary Direction of Arrival Information within a U-Net Architecture. AVSS 2022: 1-8 - [c26]Siyuan Song, Brecht Desplanques, Kris Demuynck, Nilesh Madhu:
SoftVAD in iVector-Based Acoustic Scene Classification for Robustness to Foreground Speech. EUSIPCO 2022: 404-408 - [c25]Yanjue Song, Stijn Kindt, Nilesh Madhu:
Drone Ego-Noise Cancellation for Improved Speech Capture using Deep Convolutional Autoencoder Assisted Multistage Beamforming. FUSION 2022: 1-8 - [c24]Warre Geeroms, Gianni Allebosch, Stijn Kindt, Loubna Kadri, Peter Veelaert, Nilesh Madhu:
Audio-Visual Active Speaker Identification: A comparison of dense image-based features and sparse facial landmark-based features. SDF 2022: 1-6 - 2021
- [j9]Sushmita Thakallapalli, Suryakanth V. Gangashetty, Nilesh Madhu:
NMF-weighted SRP for multi-speaker direction of arrival estimation: robustness to spatial aliasing while exploiting sparsity in the atom-time domain. EURASIP J. Audio Speech Music. Process. 2021(1): 13 (2021) - [j8]Alexander Bohlender, Ann Spriet, Wouter Tirry, Nilesh Madhu:
Exploiting Temporal Context in CNN Based Multisource DOA Estimation. IEEE ACM Trans. Audio Speech Lang. Process. 29: 1594-1608 (2021) - [c23]Stijn Kindt, Alexander Bohlender, Nilesh Madhu:
2D Acoustic Source Localisation Using Decentralised Deep Neural Networks on Distributed Microphone Arrays. ITG Conference on Speech Communication 2021: 1-5 - [c22]Alexander Bohlender, Ann Spriet, Wouter Tirry, Nilesh Madhu:
Neural Networks Using Full-Band and Subband Spatial Features for Mask Based Source Separation. EUSIPCO 2021: 346-350 - [c21]Siyuan Song, Brecht Desplanques, Celest De Moor, Kris Demuynck, Nilesh Madhu:
Robust Acoustic Scene Classification in the Presence of Active Foreground Speech. EUSIPCO 2021: 995-999 - [i2]Siyuan Song, Brecht Desplanques, Celest De Moor, Kris Demuynck, Nilesh Madhu:
Robust Acoustic Scene Classification in the Presence of Active Foreground Speech. CoRR abs/2108.00912 (2021) - 2020
- [c20]Anthony McAtear, Ruben Gielen, Nilesh Madhu:
Robust Period Estimation of Automated Cutting Systems by Improved Autocorrelation & Linear Regression Techniques. EUSIPCO 2020: 1901-1905 - [c19]Alexander Bohlender, Ann Spriet, Wouter Tirry, Nilesh Madhu:
Least-Squares DOA Estimation with an Informed Phase Unwrapping and Full Bandwidth Robustness. ICASSP 2020: 4841-4845 - [c18]Nilesh Madhu, Mohammed Krini:
Spectral refinement with adaptive window-size selection for voicing detection and fundamental frequency estimation. ISSPIT 2020: 1-6
2010 – 2019
- 2019
- [c17]Sushmita Thakallapalli, Suryakanth V. Gangashetty, Nilesh Madhu:
A New Weighted NMF Algorithm For Missing Data Interpolation And Its Application To Speech Enhancement. EUSIPCO 2019: 1-5 - [c16]Mohammed Krini, Nilesh Madhu:
Generalized Refinement of Short-Term Fourier Spectra in Time- and Frequency- Domain and its Combination with Polyphase Filterbanks. ISSPIT 2019: 1-6 - 2018
- [j7]Samy Elshamy, Nilesh Madhu, Wouter Tirry, Tim Fingscheidt:
DNN-Supported Speech Enhancement With Cepstral Estimation of Both Excitation and Envelope. IEEE ACM Trans. Audio Speech Lang. Process. 26(12): 2460-2474 (2018) - [c15]Sebastian Gergen, Rainer Martin, Nilesh Madhu:
Source separation by fuzzy-membership value aware beamforming and masking in ad hoc arrays. ITG Symposium on Speech Communication 2018: 1-5 - [c14]Ruben Verhack, Nilesh Madhu, Glenn Van Wallendael, Peter Lambert, Thomas Sikora:
Steered Mixture-of-Experts Approximation of Spherical Image Data. EUSIPCO 2018: 256-260 - [c13]Samy Elshamy, Nilesh Madhu, Wouter Tirry, Tim Fingscheidt:
A Priori SNR Computation for Speech Enhancement Based on Cepstral Envelope Estimation. IWAENC 2018: 351-355 - [c12]Sebastian Gergen, Rainer Martin, Nilesh Madhu:
Source Separation by Feature-Based Clustering of Microphones in Ad Hoc Arrays. IWAENC 2018: 530-534 - 2017
- [j6]Samy Elshamy, Nilesh Madhu, Wouter Tirry, Tim Fingscheidt:
Instantaneous A Priori SNR Estimation by Cepstral Excitation Manipulation. IEEE ACM Trans. Audio Speech Lang. Process. 25(8): 1592-1605 (2017) - [c11]Mehdi Zohourian, Rainer Martin, Nilesh Madhu:
New insights into the role of the head radius in model-based binaural speaker localization. EUSIPCO 2017: 221-225 - [c10]Samy Elshamy, Nilesh Madhu, Wouter Tirry, Tim Fingscheidt:
Two-stage speech enhancement with manipulation of the cepstral excitation. HSCMA 2017: 106-110 - 2015
- [j5]Raphael Koning, Nilesh Madhu, Jan Wouters:
Ideal Time-Frequency Masking Algorithms Lead to Different Speech Intelligibility and Quality in Normal-Hearing and Cochlear Implant Listeners. IEEE Trans. Biomed. Eng. 62(1): 331-341 (2015) - [c9]Samy Elshamy, Nilesh Madhu, Wouter Tirry, Tim Fingscheidt:
An iterative speech model-based a priori SNR estimator. INTERSPEECH 2015: 1740-1744 - 2014
- [c8]Nilesh Madhu, Rainer Martin, Heinz-Werner Rehn, Sebastian Gergen, A. Fischer:
A hierarchical approach for the online, on-board detection and localisation of brake squeal using microphone arrays. HSCMA 2014: 132-136 - [c7]Nilesh Madhu, Sung-Kyo Jung:
Speaker recognition performance under ideal-knowledge noise suppression: an investigation. SLAM@INTERSPEECH 2014: 48-52 - 2013
- [j4]Nilesh Madhu, Ann Spriet, Sofie Jansen, Raphael Koning, Jan Wouters:
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. IEEE Trans. Speech Audio Process. 21(1): 61-70 (2013) - [c6]Srdan Kitic, Laurent Jacques, Nilesh Madhu, Michael Peter Hopwood, Ann Spriet, Christophe De Vleeschouwer:
Consistent iterative hard thresholding for signal declipping. ICASSP 2013: 5939-5943 - [i1]Srdan Kitic, Laurent Jacques, Nilesh Madhu, Michael Peter Hopwood, Ann Spriet, Christophe De Vleeschouwer:
Consistent Iterative Hard Thresholding For Signal Declipping. CoRR abs/1303.1023 (2013) - 2012
- [j3]Nilesh Madhu, Radu Ranta, Louis Maillard, Laurent Koessler:
A unified treatment of the reference estimation problem in depth EEG recordings. Medical Biol. Eng. Comput. 50(10): 1003-1015 (2012) - [j2]Radu Ranta, Nilesh Madhu:
Reference Estimation in EEG: Analysis of Equivalent Approaches. IEEE Signal Process. Lett. 19(1): 12-15 (2012) - 2011
- [j1]Nilesh Madhu, Rainer Martin:
A Versatile Framework for Speaker Separation Using a Model-Based Speaker Localization Approach. IEEE Trans. Speech Audio Process. 19(7): 1900-1912 (2011) - 2010
- [c5]Sebastian Gergen, Rainer Martin, Nilesh Madhu:
A New Performance Criterion for Microphone Array Geometries and Filterand- Sum Beamforming. Sprachkommunikation 2010: 1-4
2000 – 2009
- 2008
- [c4]Nilesh Madhu, Colin Breithaupt, Rainer Martin:
Temporal smoothing of spectral masks in the cepstral domain for speech separation. ICASSP 2008: 45-48 - [c3]Nilesh Madhu, Ivan Tashev, Alex Acero:
AN EM-based probabilistic approach for Acoustic Echo Suppression. ICASSP 2008: 265-268 - 2005
- [c2]Nilesh Madhu, Rainer Martin:
Robust speaker localization through adaptive weighted pair TDOA (AWEPAT) estimation. INTERSPEECH 2005: 2341-2344 - 2003
- [c1]Chiu Shun Wong, D. Obradovic, Nilesh Madhu:
Independent component analysis (ICA) for blind equalization of frequency selective channels. NNSP 2003: 419-428
Coauthor Index
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last updated on 2024-11-11 21:27 CET by the dblp team
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