Browsing Conference contributions by imec author "49ea766716f0042e2c7e8b9f9f9d701d92e2a21e"
Now showing items 1-20 of 21
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2D Acoustic source localisation using decentralised deep neural networks on distributed microphone arrays
Kindt, Stijn; Bohlender, Alexander; Madhu, Nilesh (2021) -
A neural network approach to broadband beamforming
Kuno, Y.M.; Masiero, B.; Madhu, Nilesh (2019) -
A new weighted NMF algorithm for missing data interpolation and its application to speech enhancement
Thakallapalli, S.; Gangashetty, S.; Madhu, Nilesh (2019) -
A priori SNR computation for speech enhancement based on cepstral envelope estimation
Elshamy, S.; Madhu, Nilesh; Tirry, W.; Fingscheidt, T. (2018-09) -
Analysis of a neural network approach to linear beamforming
Kuno, Y.M.; Masiero, R.S.; Madhu, Nilesh (2022) -
Audio-Visual Active Speaker Identification: A comparison of dense image-based features and sparse facial landmark-based features
Geeroms, Warre; Allebosch, Gianni; Kindt, Stijn; Kadri, Loubna; Veelaert, Peter; Madhu, Nilesh (2022) -
Drone Ego-Noise Cancellation for Improved Speech Capture using Deep Convolutional Autoencoder Assisted Multistage Beamforming
Song, Yanjue; Kindt, Stijn; Madhu, Nilesh (2022) -
Enhancing Multichannel Laser-Doppler Vibrometry Signals with Application to (Carotid-Femoral) Pulse Transit Time Estimation
Beeckman, Simeon; Li, Yanlu; Aasmul, Soren; Baets, Roel; Boutouyrie, Pierre; Segers, Patrick; Madhu, Nilesh (2023) -
Generalized refinement of short-term fourier spectra in time- and frequency-domain and its combination with polyphase filterbanks
Krini, M.; Madhu, Nilesh (2019) -
Improved F0 estimation by generalised spectral refinement applied to DFT-modulated polyphase filterbanks
Krini, M.; Madhu, Nilesh (2019) -
Improved Separation of Closely-spaced Speakers by Exploiting Auxiliary Direction of Arrival Information within a U-Net Architecture
Kindt, Stijn; Bohlender, Alexander; Madhu, Nilesh (2022) -
LEAST-SQUARES DOA ESTIMATION WITH AN INFORMED PHASE UNWRAPPING AND FULL BANDWIDTH ROBUSTNESS
Bohlender, Alexander; Spriet, Ann; Tirry, Wouter; Madhu, Nilesh (2020) -
Neural Networks Using Full-Band and Subband Spatial Features for Mask Based Source Separation
Bohlender, Alexander; Spriet, Ann; Tirry, Wouter; Madhu, Nilesh (2021) -
Robust Acoustic Scene Classification in the Presence of Active Foreground Speech
Song, Siyuan; Desplanques, Brecht; De Moor, Celest; Demuynck, Kris; Madhu, Nilesh (2021) -
Robust Period Estimation of Automated Cutting Systems by Improved Autocorrelation & Linear Regression Techniques
McAtear, Anthony; Gielen, Ruben; Madhu, Nilesh (2021) -
SoftVAD in iVector-Based Acoustic Scene Classification for Robustness to Foreground Speech
Song, Siyuan; Desplanques, Brecht; Demuynck, Kris; Madhu, Nilesh (2022) -
Source number estimation for multi-speaker localisation and tracking
Madhu, Nilesh; Martin, R. (2018-09) -
Source separation by feature-based clustering of microphones in ad hoc arrays
Gergen, S.; Martin, R.; Madhu, Nilesh (2018-09) -
Source separation by fuzzy-membership value aware beamforming and masking in ad hoc arrays
Gergen, S.; Martin, R.; Madhu, Nilesh (2018) -
Spectral refinement with adaptive window-size selection for voicing detection and fundamental frequency estimation
Madhu, Nilesh; Krini, Mohammed (2020)