Prof. Dr.-Ing. Walter Kellermann



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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Unpublished / Preprint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 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 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 Statistical Analysis of Randomness in Training of Small-Scale Neural Networks for Speech Enhancement (2022) Briegleb A, Kellermann W Conference contribution, Original article