Prof. Dr.-Ing. Walter Kellermann

Professur für Signalverarbeitung Technische Fakultät

Enhanced adaptive Volterra filtering by automatic attenuation of memory regions and its application to acoustic echo cancellation (2013) Azpicueta-Ruiz LA, Zeller M, Figueiras-Vidal AR, Kellermann W, Arenas-Garcia J Journal article, Original article Blind system identification using sparse learning for TDOA estimation of room reflections (2013) Kowalczyk K, Habets E, Kellermann W, Naylor PA Journal article, Original article Survey on approaches to speech recognition in reverberant environments (2012) Yoshioka T, Sehr A, Delcroix M, Kinoshita K, Maas R, Nakatani T, Kellermann W Conference contribution, Conference Contribution Identification of active sources in single-channel convolutive mixtures using known source models (2012) Sundar H, Sreenivas TV, Kellermann W Journal article, Original article Making machines understand us in reverberant rooms: Robustness against reverberation for automatic speech recognition (2012) Yoshioka T, Sehr A, Delcroix M, Kinoshita K, Maas R, Nakatani T, Kellermann W Journal article, Original article The generalized frequency-domain adaptive filtering algorithm implemented on a GPU for large-scale multichannel acoustic echo cancellation (2012) Schneider M, Schuh F, Kellermann W Conference contribution, Conference Contribution Reflection coefficient estimation by pseudospectrum matching (2012) Marković D, Hofmann C, Antonacci F, Kowalczyk K, Sarti A, Kellermann W Conference contribution, Conference Contribution Iterative DFT-domain inverse filter determination for adaptive listening room equalization (2012) Schneider M, Kellermann W Conference contribution, Conference Contribution On blocking matrix-based dereverberation for automatic speech recognition (2012) Schwarz A, Reindl K, Kellermann W Conference contribution, Conference Contribution A morphological approach to single-channel wind-noise suppression (2012) Hofmann C, Wolff T, Buck M, Haulick T, Kellermann W Conference contribution, Conference Contribution