Bernd T. Meyer
Bernd T. Meyer
Carl von Ossietzky Universität, Germany
Verified email at - Homepage
Cited by
Cited by
Spectro-temporal modulation subspace-spanning filter bank features for robust automatic speech recognition
MR Schädler, BT Meyer, B Kollmeier
The Journal of the Acoustical Society of America 131 (5), 4134-4151, 2012
Dual-signal transformation LSTM network for real-time noise suppression
NL Westhausen, BT Meyer
arXiv preprint arXiv:2005.07551, 2020
Machine learning for decoding listeners’ attention from electroencephalography evoked by continuous speech
T de Taillez, B Kollmeier, BT Meyer
European Journal of Neuroscience 51 (5), 1234-1241, 2020
Perception of speech and sound
B Kollmeier, T Brand, B Meyer
Springer handbook of speech processing, 61-82, 2008
Oldenburg logatome speech corpus (OLLO) for speech recognition experiments with humans and machines.
T Wesker, BT Meyer, K Wagener, J Anemüller, A Mertins, B Kollmeier
Interspeech, 1273-1276, 2005
Electroencephalography-based auditory attention decoding: Toward neurosteered hearing devices
S Geirnaert, S Vandecappelle, E Alickovic, A De Cheveigne, E Lalor, ...
IEEE Signal Processing Magazine 38 (4), 89-102, 2021
Ad hoc-interpreting and the achievement of communicative purposes in doctor-patient-communication
K Bührig, B Meyer
Multilingual communication 3, 43-62, 2004
Predicting speech intelligibility with deep neural networks
C Spille, SD Ewert, B Kollmeier, BT Meyer
Computer Speech & Language 48, 51-66, 2018
Robustness of spectro-temporal features against intrinsic and extrinsic variations in automatic speech recognition
BT Meyer, B Kollmeier
Speech Communication 53 (5), 753-767, 2011
Effect of speech-intrinsic variations on human and automatic recognition of spoken phonemes
BT Meyer, T Brand, B Kollmeier
The Journal of the Acoustical Society of America 129 (1), 388-403, 2011
Acoustic echo cancellation with the dual-signal transformation LSTM network
NL Westhausen, BT Meyer
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
Comparing human and automatic speech recognition in simple and complex acoustic scenes
C Spille, B Kollmeier, BT Meyer
Computer Speech & Language 52, 123-140, 2018
Sentence recognition prediction for hearing-impaired listeners in stationary and fluctuation noise with FADE: Empowering the attenuation and distortion concept by Plomp with a …
B Kollmeier, MR Schädler, A Warzybok, BT Meyer, T Brand
Trends in hearing 20, 2331216516655795, 2016
Human phoneme recognition depending on speech-intrinsic variability
BT Meyer, T Jürgens, T Wesker, T Brand, B Kollmeier
The Journal of the Acoustical Society of America 128 (5), 3126-3141, 2010
Phoneme confusions in human and automatic speech recognition.
BT Meyer, M Wächter, T Brand, B Kollmeier
Interspeech 2007, 8th, 2007
Comparing different flavors of spectro-temporal features for ASR
BT Meyer, SV Ravuri, MR Schädler, N Morgan
Twelfth Annual Conference of the International Speech Communication Association, 2011
A human-machine comparison in speech recognition based on a logatome corpus
B Meyer, T Wesker, T Brand, A Mertins, B Kollmeier
Speech Recognition and Intrinsic Variation Workshop, 2006
Optimization and evaluation of Gabor feature sets for ASR.
BT Meyer, B Kollmeier
INTERSPEECH, 906-909, 2008
Environmental Sound Classification on the Edge: A Pipeline for Deep Acoustic Networks on Extremely Resource-Constrained Devices
M Mohaimenuzzaman, C Bergmeir, I West, B Meyer
Pattern Recognition 133, 109025, 2023
Joint estimation of reverberation time and early-to-late reverberation ratio from single-channel speech signals
F Xiong, S Goetze, B Kollmeier, BT Meyer
IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (2), 255-267, 2018
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