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Evaluation of Deep-Learning-Based Voice Activity Detectors and Room Impulse Response Models in Reverberant Environments., , and . ICASSP, page 406-410. IEEE, (2020)On the Design of Flexible Kronecker Product Beamformers with Linear Microphone Arrays., , , , and . ICASSP, page 441-445. IEEE, (2019)Diffusion Maps for Signal Processing: A Deeper Look at Manifold-Learning Techniques Based on Kernels and Graphs., , , and . IEEE Signal Process. Mag., 30 (4): 75-86 (2013)Voice Activity Detection for Transient Noisy Environment Based on Diffusion Nets., , and . J. Sel. Topics Signal Processing, 13 (2): 254-264 (2019)Eigenvalue decomposition based estimators of carrier frequency offset in multicarrier underwater acoustic communication., , , and . ICASSP, page 3534-3538. IEEE, (2017)Supervised system identification based on local PCA models., , and . ICASSP, page 541-544. IEEE, (2012)Two-channel signal detection and speech enhancement based on the transient beam-to-reference ratio., and . ICASSP (5), page 233-236. IEEE, (2003)Differential constant-beamwidth beamforming with cube arrays., and . Speech Commun., (April 2023)Adaptive and hybrid Kronecker product beamforming for far-field speech signals., , and . Speech Commun., (2020)Noise estimation by minima controlled recursive averaging for robust speech enhancement., and . IEEE Signal Process. Lett., 9 (1): 12-15 (2002)