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ORCIDBernd T. Meyer
Person information
- affiliation: Carl von Ossietzky University of Oldenburg, Germany
- affiliation: Johns Hopkins University, Baltimore, MD, USA
- affiliation: International Computer Science Institute, Berkeley, CA, USA
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2020 – today
- 2025
[j15]Jana Roßbach
, Kirsten Wagener, Bernd T. Meyer:
Multilingual non-intrusive binaural intelligibility prediction based on phone classification. Comput. Speech Lang. 89: 101684 (2025)- 2024
- [i8]Nils L. Westhausen, Hendrik Kayser, Theresa Jansen, Bernd T. Meyer:
Real-time multichannel deep speech enhancement in hearing aids: Comparing monaural and binaural processing in complex acoustic scenarios. CoRR abs/2405.01967 (2024) - 2023
- [j14]Jasper Ooster, Laura Tuschen, Bernd T. Meyer:
Self-conducted speech audiometry using automatic speech recognition: Simulation results for listeners with hearing loss. Comput. Speech Lang. 78: 101447 (2023) - [c45]Paul M. Reuter, Christian Rollwage, Bernd T. Meyer:
Multilingual Query-by-Example Keyword Spotting with Metric Learning and Phoneme-to-Embedding Mapping. ICASSP 2023: 1-5 - [c44]Nils L. Westhausen, Bernd T. Meyer:
Low Bit Rate Binaural Link for Improved Ultra Low-Latency Low-Complexity Multichannel Speech Enhancement in Hearing Aids. WASPAA 2023: 1-5 - [i7]Nils L. Westhausen, Bernd T. Meyer:
Binaural multichannel blind speaker separation with a causal low-latency and low-complexity approach. CoRR abs/2312.05173 (2023) - 2022
- [j13]Angel Mario Castro Martinez, Constantin Spille, Jana Roßbach, Birger Kollmeier, Bernd T. Meyer:
Prediction of speech intelligibility with DNN-based performance measures. Comput. Speech Lang. 74: 101329 (2022) - [c43]Nils L. Westhausen, Bernd T. Meyer:
tPLCnet: Real-time Deep Packet Loss Concealment in the Time Domain Using a Short Temporal Context. INTERSPEECH 2022: 2903-2907 - [c42]Jana Roßbach, Rainer Huber, Saskia Röttges, Christopher F. Hauth, Thomas Biberger, Thomas Brand, Bernd T. Meyer, Jan Rennies:
Speech Intelligibility Prediction for Hearing-Impaired Listeners with the LEAP Model. INTERSPEECH 2022: 3498-3502 - [i6]Angel Mario Castro Martinez, Constantin Spille, Jana Roßbach, Birger Kollmeier, Bernd T. Meyer:
Prediction of speech intelligibility with DNN-based performance measures. CoRR abs/2203.09148 (2022) - [i5]Nils L. Westhausen, Bernd T. Meyer:
tPLCnet: Real-time Deep Packet Loss Concealment in the Time Domain Using a Short Temporal Context. CoRR abs/2204.01300 (2022) - 2021
- [j12]Simon Geirnaert, Servaas Vandecappelle, Emina Alickovic, Alain de Cheveigné, Edmund C. Lalor, Bernd T. Meyer, Sina Miran, Tom Francart, Alexander Bertrand:
Electroencephalography-Based Auditory Attention Decoding: Toward Neurosteered Hearing Devices. IEEE Signal Process. Mag. 38(4): 89-102 (2021) - [j11]Nils L. Westhausen, Rainer Huber, Hannah Baumgartner, Ragini Sinha, Jan Rennies, Bernd T. Meyer:
Reduction of Subjective Listening Effort for TV Broadcast Signals With Recurrent Neural Networks. IEEE ACM Trans. Audio Speech Lang. Process. 29: 3541-3550 (2021) - [c41]David Hülsmeier, Christopher F. Hauth, Saskia Röttges, Paul Kranzusch, Jana Roßbach, Marc René Schädler, Bernd T. Meyer, Anna Warzybok, Thomas Brand:
Towards Non-Intrusive Prediction of Speech Recognition Thresholds in Binaural Conditions. ITG Conference on Speech Communication 2021: 1-5 - [c40]Jana Roßbach, Saskia Röttges, Christopher F. Hauth, Thomas Brand, Bernd T. Meyer:
Non-Intrusive Binaural Prediction of Speech Intelligibility Based on Phoneme Classification. ICASSP 2021: 396-400 - [c39]Nils L. Westhausen, Bernd T. Meyer:
Acoustic Echo Cancellation with the Dual-Signal Transformation LSTM Network. ICASSP 2021: 7138-7142 - [i4]Nils L. Westhausen, Rainer Huber, Hannah Baumgartner, Ragini Sinha, Jan Rennies, Bernd T. Meyer:
Reduction of Subjective Listening Effort for TV Broadcast Signals with Recurrent Neural Networks. CoRR abs/2111.01914 (2021) - 2020
- [c38]Marvin Tammen, Dörte Fischer, Bernd T. Meyer, Simon Doclo:
DNN-Based Speech Presence Probability Estimation for Multi-Frame Single-Microphone Speech Enhancement. ICASSP 2020: 191-195 - [c37]Nils L. Westhausen, Bernd T. Meyer:
Dual-Signal Transformation LSTM Network for Real-Time Noise Suppression. INTERSPEECH 2020: 2477-2481 - [i3]Nils L. Westhausen, Bernd T. Meyer:
Dual-Signal Transformation LSTM Network for Real-Time Noise Suppression. CoRR abs/2005.07551 (2020)
2010 – 2019
- 2019
- [j10]Angel Mario Castro Martinez, Lukas Gerlach, Guillermo Payá Vayá, Hynek Hermansky, Jasper Ooster, Bernd T. Meyer:
DNN-based performance measures for predicting error rates in automatic speech recognition and optimizing hearing aid parameters. Speech Commun. 106: 44-56 (2019) - [j9]Feifei Xiong, Stefan Goetze, Birger Kollmeier, Bernd T. Meyer:
Joint Estimation of Reverberation Time and Early-To-Late Reverberation Ratio From Single-Channel Speech Signals. IEEE ACM Trans. Audio Speech Lang. Process. 27(2): 255-267 (2019) - [c36]Jasper Ooster, Bernd T. Meyer:
Improving Deep Models of Speech Quality Prediction through Voice Activity Detection and Entropy-based Measures. ICASSP 2019: 636-640 - [c35]Jasper Ooster, Pia Nancy Porysek Moreta, Jörg-Hendrik Bach, Inga Holube, Bernd T. Meyer:
"Computer, Test My Hearing": Accurate Speech Audiometry with Smart Speakers. INTERSPEECH 2019: 4095-4099 - 2018
- [j8]Constantin Spille, Stephan Dieter Ewert, Birger Kollmeier, Bernd T. Meyer:
Predicting speech intelligibility with deep neural networks. Comput. Speech Lang. 48: 51-66 (2018) - [j7]Constantin Spille, Birger Kollmeier, Bernd T. Meyer:
Comparing human and automatic speech recognition in simple and complex acoustic scenes. Comput. Speech Lang. 52: 123-140 (2018) - [j6]Jasper Ooster, Rainer Huber, Birger Kollmeier, Bernd T. Meyer:
Evaluation of an automated speech-controlled listening test with spontaneous and read responses. Speech Commun. 98: 85-94 (2018) - [j5]Feifei Xiong, Stefan Goetze, Birger Kollmeier, Bernd T. Meyer:
Exploring Auditory-Inspired Acoustic Features for Room Acoustic Parameter Estimation From Monaural Speech. IEEE ACM Trans. Audio Speech Lang. Process. 26(10): 1809-1820 (2018) - [c34]Rainer Huber, Arne Pusch, Niko Moritz, Jan Rennies, Henning F. Schepker, Bernd T. Meyer:
Objective Assessment of a Speech Enhancement Scheme with an Automatic Speech Recognition-Based System. ITG Symposium on Speech Communication 2018: 1-5 - [c33]Jasper Ooster, Rainer Huber, Bernd T. Meyer:
Prediction of Perceived Speech Quality Using Deep Machine Listening. INTERSPEECH 2018: 976-980 - [c32]Paul Kranzusch, Rainer Huber, Melanie Krüger, Birger Kollmeier, Bernd T. Meyer:
Prediction of Subjective Listening Effort from Acoustic Data with Non-Intrusive Deep Models. INTERSPEECH 2018: 981-985 - 2017
- [j4]Angel Mario Castro Martinez, Sri Harish Reddy Mallidi, Bernd T. Meyer:
On the relevance of auditory-based Gabor features for deep learning in robust speech recognition. Comput. Speech Lang. 45: 21-38 (2017) - [j3]Constantin Spille, Birger Kollmeier, Bernd T. Meyer:
Combining Binaural and Cortical Features for Robust Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 25(4): 756-767 (2017) - [c31]Feifei Xiong, Bernd T. Meyer, Benjamin Cauchi, Ante Jukic, Simon Doclo, Stefan Goetze:
Performance comparison of real-time single-channel speech dereverberation algorithms. HSCMA 2017: 126-130 - [c30]Feifei Xiong, Stefan Goetze, Bernd T. Meyer:
Combination strategy based on relative performance monitoring for multi-stream reverberant speech recognition. ICASSP 2017: 4870-4874 - [c29]Feifei Xiong, Stefan Goetze, Bernd T. Meyer:
On DNN posterior probability combination in multi-stream speech recognition for reverberant environments. ICASSP 2017: 5250-5254 - [c28]Bernd T. Meyer, Sri Harish Reddy Mallidi, Hendrik Kayser, Hynek Hermansky:
Predicting error rates for unknown data in automatic speech recognition. ICASSP 2017: 5330-5334 - [c27]Rainer Huber, Constantin Spille, Bernd T. Meyer:
Single-Ended Prediction of Listening Effort Based on Automatic Speech Recognition. INTERSPEECH 2017: 1168-1172 - [c26]Constantin Spille, Bernd T. Meyer:
Listening in the Dips: Comparing Relevant Features for Speech Recognition in Humans and Machines. INTERSPEECH 2017: 2968-2972 - [i2]Angel Mario Castro Martinez, Sri Harish Reddy Mallidi, Bernd T. Meyer:
On the Relevance of Auditory-Based Gabor Features for Deep Learning in Automatic Speech Recognition. CoRR abs/1702.04333 (2017) - 2016
- [c25]Mats Exter, Bernd T. Meyer:
DNN-Based Automatic Speech Recognition as a Model for Human Phoneme Perception. INTERSPEECH 2016: 615-619 - [c24]Anja Eichenauer, Mathias Dietz, Bernd T. Meyer, Tim Jürgens:
Introducing Temporal Rate Coding for Speech in Cochlear Implants: A Microscopic Evaluation in Humans and Models. INTERSPEECH 2016: 635-639 - [c23]Marina Frye, Cristiano Micheli, Inga M. Schepers, Gerwin Schalk, Jochem W. Rieger, Bernd T. Meyer:
Neural Responses to Speech-Specific Modulations Derived from a Spectro-Temporal Filter Bank. INTERSPEECH 2016: 1368-1372 - [c22]Constantin Spille, Hendrik Kayser, Hynek Hermansky, Bernd T. Meyer:
Assessing Speech Quality in Speech-Aware Hearing Aids Based on Phoneme Posteriorgrams. INTERSPEECH 2016: 1755-1759 - [c21]Bernd T. Meyer, Sri Harish Reddy Mallidi, Angel Mario Castro Martinez, Guillermo Payá Vayá, Hendrik Kayser, Hynek Hermansky:
Performance monitoring for automatic speech recognition in noisy multi-channel environments. SLT 2016: 50-56 - 2015
- [j2]Feifei Xiong, Bernd T. Meyer, Niko Moritz, Robert Rehr, Jörn Anemüller, Timo Gerkmann, Simon Doclo, Stefan Goetze:
Front-end technologies for robust ASR in reverberant environments - spectral enhancement-based dereverberation and auditory modulation filterbank features. EURASIP J. Adv. Signal Process. 2015: 70 (2015) - [c20]Feifei Xiong, Bernd T. Meyer, Stefan Goetze:
A study on joint beamforming and spectral enhancement for robust speech recognition in reverberant environments. ICASSP 2015: 5043-5047 - [c19]Hendrik Kayser, Constantin Spille, Daniel Marquardt, Bernd T. Meyer:
Improving automatic speech recognition in spatially-aware hearing aids. INTERSPEECH 2015: 175-179 - [c18]Bernd T. Meyer, Birger Kollmeier, Jasper Ooster:
Autonomous measurement of speech intelligibility utilizing automatic speech recognition. INTERSPEECH 2015: 2982-2986 - [i1]Feifei Xiong, Stefan Goetze, Bernd T. Meyer:
Joint Estimation of Reverberation Time and Direct-to-Reverberation Ratio from Speech using Auditory-Inspired Features. CoRR abs/1510.04620 (2015) - 2014
- [c17]Feifei Xiong, Stefan Goetze, Bernd T. Meyer:
Estimating room acoustic parameters for speech recognizer adaptation and combination in reverberant environments. ICASSP 2014: 5522-5526 - [c16]Constantin Spille, Bernd T. Meyer:
Identifying the human-machine differences in complex binaural scenes: what can be learned from our auditory system. INTERSPEECH 2014: 626-630 - [c15]Angel Mario Castro Martinez, Niko Moritz, Bernd T. Meyer:
Should deep neural nets have ears? the role of auditory features in deep learning approaches. INTERSPEECH 2014: 2435-2439 - 2013
- [c14]Feifei Xiong, Stefan Goetze, Bernd T. Meyer:
Blind estimation of reverberation time based on spectro-temporal modulation filtering. ICASSP 2013: 443-447 - [c13]Shuo-Yiin Chang, Bernd T. Meyer, Nelson Morgan:
Spectro-temporal features for noise-robust speech recognition using power-law nonlinearity and power-bias subtraction. ICASSP 2013: 7063-7067 - [c12]Constantin Spille, Mathias Dietz, Volker Hohmann, Bernd T. Meyer:
Using binarual processing for automatic speech recognition in multi-talker scenes. ICASSP 2013: 7805-7809 - [c11]Bernd T. Meyer:
What's the difference? comparing humans and machines on the Aurora 2 speech recognition task. INTERSPEECH 2013: 2634-2638 - 2012
- [c10]Howard Lei, Bernd T. Meyer, Nikki Mirghafori:
Spectro-temporal Gabor features for speaker recognition. ICASSP 2012: 4241-4244 - [c9]Bernd T. Meyer, Constantin Spille, Birger Kollmeier, Nelson Morgan:
Hooking up spectro-temporal filters with auditory-inspired representations for robust automatic speech recognition. INTERSPEECH 2012: 1259-1262 - 2011
- [j1]Bernd T. Meyer, Birger Kollmeier:
Robustness of spectro-temporal features against intrinsic and extrinsic variations in automatic speech recognition. Speech Commun. 53(5): 753-767 (2011) - [c8]Bernd T. Meyer, Suman V. Ravuri, Marc René Schädler, Nelson Morgan:
Comparing Different Flavors of Spectro-Temporal Features for ASR. INTERSPEECH 2011: 1269-1272 - [c7]Bernd T. Meyer:
Extraction of Spectro-Temporal Speech Cues for Robust Automatic speech Recognition. Semantic Audio 2011 - 2010
- [c6]Bernd T. Meyer, Birger Kollmeier:
Learning from human errors: prediction of phoneme confusions based on modified ASR training. INTERSPEECH 2010: 1209-1212
2000 – 2009
- 2009
- [b1]Bernd T. Meyer:
Human and automatic speech recognition in the presence of speech-intrinsic variations. Carl von Ossietzky University of Oldenburg, 2009, pp. 1-153 - [c5]Bernd T. Meyer, Birger Kollmeier:
Complementarity of MFCC, PLP and Gabor features in the presence of speech-intrinsic variabilities. INTERSPEECH 2009: 2755-2758 - 2008
- [c4]Bernd T. Meyer, Birger Kollmeier:
Optimization and evaluation of Gabor feature sets for ASR. INTERSPEECH 2008: 906-909 - [c3]María Luisa García Lecumberri, Martin Cooke, Francesco Cutugno, Mircea Giurgiu, Bernd T. Meyer, Odette Scharenborg, Wim A. van Dommelen, Jan Volín:
The non-native consonant challenge for european languages. INTERSPEECH 2008: 1781-1784 - 2007
- [c2]Bernd T. Meyer, Matthias Wächter, Thomas Brand, Birger Kollmeier:
Phoneme confusions in human and automatic speech recognition. INTERSPEECH 2007: 1485-1488 - 2005
- [c1]Thorsten Wesker, Bernd T. Meyer, Kirsten Wagener, Jörn Anemüller, Alfred Mertins, Birger Kollmeier:
Oldenburg logatome speech corpus (OLLO) for speech recognition experiments with humans and machines. INTERSPEECH 2005: 1273-1276
Coauthor Index
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