Roland Maas

Lehrstuhl für Multimediakommunikation und Signalverarbeitung Professur für Signalverarbeitung

Estimating parameters of nonlinear systems using the elitist particle filter based on evolutionary strategies (2018) Hümmer C, Hofmann C, Maas R, Kellermann W Journal article The REVERB challenge: A benchmark task for reverberation-robust ASR techniques (2017) Kinoshita K, Delcroix M, Gannot S, Habets E, Haeb-Umbach R, Kellermann W, Leutnant V, et al. Book chapter / Article in edited volumes A new uncertainty decoding scheme for DNN-HMM hybrid systems with multichannel speech enhancement (2016) Hümmer C, Schwarz A, Maas R, Barfuß H, Astudillo RF, Kellermann W Conference contribution, Conference Contribution A summary of the REVERB challenge: State-of-the-art and remaining challenges in reverberant speech processing research (2016) Kinoshita K, Delcroix M, Gannot S, Habets E, Haeb-Umbach R, Kellermann W, Leutnant V, et al. Journal article, Original article Uncertainty Decoding for Reverberation-Robust Automatic Speech Recognition (2016) Maas R Thesis A Bayesian view on acoustic model-based techniques for robust speech recognition (2015) Maas R, Hümmer C, Sehr A, Kellermann W Journal article, Review article A Bayesian network approach to linear and nonlinear acoustic echo cancellation (2015) Hümmer C, Maas R, Hofmann C, Kellermann W Journal article, Original article Multizone sound field synthesis based on the joint optimization of the sound pressure and particle velocity vector on closed contours (2015) Bürger M, Maas R, Löllmann H, Kellermann W Conference contribution, Conference Contribution Uncertainty decoding for DNN-HMM hybrid systems based on numerical sampling (2015) Hümmer C, Maas R, Schwarz A, Astudillo RF, Kellermann W Conference contribution, Conference Contribution The NLMS algorithm with time-variant optimum stepsize derived from a Bayesian network perspective (2015) Hümmer C, Maas R, Kellermann W Journal article, Original article