Roland Maas

Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Professur für Signalverarbeitung

Spatial diffuseness features for DNN-based speech recognition in noisy and reverberant environments (2015) Schwarz A, Hümmer C, Maas R, Kellermann W Conference contribution, Conference Contribution Real-time dereverberation for deep neural network speech recognition (2015) Schwarz A, Hümmer C, Maas R, Kellermann W Conference contribution The significance-aware EPFES to estimate a memoryless preprocessor for nonlinear acoustic echo cancellation (2014) Hümmer C, Hofmann C, Maas R, Kellermann W Conference contribution, Conference Contribution On Bayesian networks in speech signal processing (2014) Maas R, Hümmer C, Hofmann C, Kellermann W Conference contribution, Conference Contribution A Bayesian network view on linear and nonlinear acoustic echo cancellation (2014) Maas R, Hümmer C, Schwarz A, Hofmann C, Kellermann W Conference contribution, Conference Contribution Efficient training of acoustic models for reverberation-robust medium-vocabulary automatic speech recognition (2014) Sehr A, Barfuß H, Hofmann C, Maas R, Kellermann W Conference contribution, Conference Contribution The elitist particle filter based on evolutionary strategies as novel approach for nonlinear acoustic echo cancellation (2014) Hümmer C, Hofmann C, Maas R, Schwarz A, Kellermann W Conference contribution, Conference Contribution The REVERB challenge: Acommon evaluation framework for dereverberation and recognition of reverberant speech (2013) Kinoshita K, Delcroix M, Yoshioka T, Nakatani T, Habets E, Haeb-Umbach R, Leutnant V, et al. Conference contribution, Conference Contribution Conditional emission densities for combining speech enhancement and recognition systems (2013) Sehr A, Yoshioka T, Delcroix M, Kinoshita K, Nakatani T, Maas R, Kellermann W Conference contribution, Conference Contribution Formulation of the REMOS concept from an uncertainty decoding perspective (2013) Maas R, Sehr A, Yoshioka T, Delcroix M, Kinoshita K, Nakatani T, Kellermann W Conference contribution, Conference Contribution