Bernd T. Meyer
Orcid: 0000-0001-9190-2111Affiliations:
- Carl von Ossietzky University of Oldenburg, Germany
- Johns Hopkins University, Baltimore, MD, USA
- International Computer Science Institute, Berkeley, CA, USA
According to our database1,
Bernd T. Meyer
authored at least 63 papers
between 2005 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on linkedin.com
-
on orcid.org
-
on d-nb.info
-
on uol.de
On csauthors.net:
Bibliography
2023
Self-conducted speech audiometry using automatic speech recognition: Simulation results for listeners with hearing loss.
Comput. Speech Lang., 2023
Binaural multichannel blind speaker separation with a causal low-latency and low-complexity approach.
CoRR, 2023
Low Bit Rate Binaural Link for Improved Ultra Low-Latency Low-Complexity Multichannel Speech Enhancement in Hearing Aids.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2023
Multilingual Query-by-Example Keyword Spotting with Metric Learning and Phoneme-to-Embedding Mapping.
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
Comput. Speech Lang., 2022
tPLCnet: Real-time Deep Packet Loss Concealment in the Time Domain Using a Short Temporal Context.
Proceedings of the Interspeech 2022, 2022
Speech Intelligibility Prediction for Hearing-Impaired Listeners with the LEAP Model.
Proceedings of the Interspeech 2022, 2022
2021
Reduction of Subjective Listening Effort for TV Broadcast Signals With Recurrent Neural Networks.
IEEE ACM Trans. Audio Speech Lang. Process., 2021
Electroencephalography-Based Auditory Attention Decoding: Toward Neurosteered Hearing Devices.
IEEE Signal Process. Mag., 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Non-Intrusive Binaural Prediction of Speech Intelligibility Based on Phoneme Classification.
Proceedings of the IEEE International Conference on Acoustics, 2021
Towards Non-Intrusive Prediction of Speech Recognition Thresholds in Binaural Conditions.
Proceedings of the 14th ITG Conference on Speech Communication, online, September 29, 2021
2020
Proceedings of the Interspeech 2020, 2020
DNN-Based Speech Presence Probability Estimation for Multi-Frame Single-Microphone Speech Enhancement.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
Joint Estimation of Reverberation Time and Early-To-Late Reverberation Ratio From Single-Channel Speech Signals.
IEEE ACM Trans. Audio Speech Lang. Process., 2019
DNN-based performance measures for predicting error rates in automatic speech recognition and optimizing hearing aid parameters.
Speech Commun., 2019
Proceedings of the Interspeech 2019, 2019
Improving Deep Models of Speech Quality Prediction through Voice Activity Detection and Entropy-based Measures.
Proceedings of the IEEE International Conference on Acoustics, 2019
2018
Exploring Auditory-Inspired Acoustic Features for Room Acoustic Parameter Estimation From Monaural Speech.
IEEE ACM Trans. Audio Speech Lang. Process., 2018
Evaluation of an automated speech-controlled listening test with spontaneous and read responses.
Speech Commun., 2018
Comparing human and automatic speech recognition in simple and complex acoustic scenes.
Comput. Speech Lang., 2018
Comput. Speech Lang., 2018
Proceedings of the Interspeech 2018, 2018
Prediction of Subjective Listening Effort from Acoustic Data with Non-Intrusive Deep Models.
Proceedings of the Interspeech 2018, 2018
Objective Assessment of a Speech Enhancement Scheme with an Automatic Speech Recognition-Based System.
Proceedings of the 13th ITG Symposium on Speech Communication, 2018
2017
IEEE ACM Trans. Audio Speech Lang. Process., 2017
On the relevance of auditory-based Gabor features for deep learning in robust speech recognition.
Comput. Speech Lang., 2017
On the Relevance of Auditory-Based Gabor Features for Deep Learning in Automatic Speech Recognition.
CoRR, 2017
Listening in the Dips: Comparing Relevant Features for Speech Recognition in Humans and Machines.
Proceedings of the Interspeech 2017, 2017
Proceedings of the Interspeech 2017, 2017
On DNN posterior probability combination in multi-stream speech recognition for reverberant environments.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Combination strategy based on relative performance monitoring for multi-stream reverberant speech recognition.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Performance comparison of real-time single-channel speech dereverberation algorithms.
Proceedings of the Hands-free Speech Communications and Microphone Arrays, 2017
2016
Performance monitoring for automatic speech recognition in noisy multi-channel environments.
Proceedings of the 2016 IEEE Spoken Language Technology Workshop, 2016
Assessing Speech Quality in Speech-Aware Hearing Aids Based on Phoneme Posteriorgrams.
Proceedings of the Interspeech 2016, 2016
Neural Responses to Speech-Specific Modulations Derived from a Spectro-Temporal Filter Bank.
Proceedings of the Interspeech 2016, 2016
Proceedings of the Interspeech 2016, 2016
Introducing Temporal Rate Coding for Speech in Cochlear Implants: A Microscopic Evaluation in Humans and Models.
Proceedings of the Interspeech 2016, 2016
2015
Front-end technologies for robust ASR in reverberant environments - spectral enhancement-based dereverberation and auditory modulation filterbank features.
EURASIP J. Adv. Signal Process., 2015
Joint Estimation of Reverberation Time and Direct-to-Reverberation Ratio from Speech using Auditory-Inspired Features.
CoRR, 2015
Autonomous measurement of speech intelligibility utilizing automatic speech recognition.
Proceedings of the INTERSPEECH 2015, 2015
Proceedings of the INTERSPEECH 2015, 2015
A study on joint beamforming and spectral enhancement for robust speech recognition in reverberant environments.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
2014
Identifying the human-machine differences in complex binaural scenes: what can be learned from our auditory system.
Proceedings of the INTERSPEECH 2014, 2014
Should deep neural nets have ears? the role of auditory features in deep learning approaches.
Proceedings of the INTERSPEECH 2014, 2014
Estimating room acoustic parameters for speech recognizer adaptation and combination in reverberant environments.
Proceedings of the IEEE International Conference on Acoustics, 2014
2013
What's the difference? comparing humans and machines on the Aurora 2 speech recognition task.
Proceedings of the INTERSPEECH 2013, 2013
Blind estimation of reverberation time based on spectro-temporal modulation filtering.
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
Spectro-temporal features for noise-robust speech recognition using power-law nonlinearity and power-bias subtraction.
Proceedings of the IEEE International Conference on Acoustics, 2013
2012
Hooking up spectro-temporal filters with auditory-inspired representations for robust automatic speech recognition.
Proceedings of the INTERSPEECH 2012, 2012
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
2011
Robustness of spectro-temporal features against intrinsic and extrinsic variations in automatic speech recognition.
Speech Commun., 2011
Proceedings of the AES International Conference Semantic Audio 2011, 2011
Proceedings of the INTERSPEECH 2011, 2011
2010
Learning from human errors: prediction of phoneme confusions based on modified ASR training.
Proceedings of the INTERSPEECH 2010, 2010
2009
Human and automatic speech recognition in the presence of speech-intrinsic variations.
PhD thesis, 2009
Complementarity of MFCC, PLP and Gabor features in the presence of speech-intrinsic variabilities.
Proceedings of the INTERSPEECH 2009, 2009
2008
Proceedings of the INTERSPEECH 2008, 2008
Proceedings of the INTERSPEECH 2008, 2008
2007
Proceedings of the INTERSPEECH 2007, 2007
2005
Oldenburg logatome speech corpus (OLLO) for speech recognition experiments with humans and machines.
Proceedings of the INTERSPEECH 2005, 2005