Prof. Dr.-Ing. Walter Kellermann



close-button

Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

From
To

Abstract

Journal

Localizing Spatial Information in Neural Spatiospectral Filters (2023) Briegleb A, Haubner T, Belagiannis V, Kellermann W Conference contribution, Conference Contribution Audio Signal Processing in the 21st Century: The important outcomes of the past 25 years (2023) Richard G, Smaragdis P, Naylor PA, Makino S, Gannot S, Kellermann W, Sugiyama A Journal article, Review article Exploiting spatial information with the informed complex-valued spatial autoencoder for target speaker extraction (2023) Briegleb A, Halimeh MM, Kellermann W Conference contribution, Conference Contribution 1-D Residual Convolutional Neural Network coupled with Data Augmentation and Regularization Techniques for the ICPHM 2023 Data Challenge (2023) Kreuzer M, Kellermann W Conference contribution, Conference Contribution Airborne-Sound Analysis for the Detection of Bearing Faults in Railway Vehicles with Real-World Data (2023) Kreuzer M, Schmidt D, Wokusch S, Kellermann W Conference contribution, Conference Contribution Spatially Informed Independent vector analysis for Source Extraction based on the convolutive Transfer Function Model (2023) Wang X, Brendel A, Huang G, Yang Y, Kellermann W, Chen J Conference contribution Switching Kronecker Product Linear Filtering for Multispeaker Adaptive Speech Dereverberation (2023) Huang G, Benesty J, Cohen I, Winebrand E, Chen J, Kellermann W Conference contribution GEOMETRICALLY CONSTRAINED SOURCE EXTRACTION AND DEREVERBERATION BASED ON JOINT OPTIMIZATION (2023) Yang Y, Wang X, Brendel A, Zhang W, Kellermann W, Chen J Conference contribution 1-D Residual Convolutional Neural Network coupled with Data Augmentation and Regularization for the ICPHM 2023 Data Challenge (2023) Kreuzer M, Kellermann W Conference contribution A Unifying View on Blind Source Separation of Convolutive Mixtures Based on Independent Component Analysis (2023) Brendel A, Haubner T, Kellermann W Journal article