B. Meyer

发表

DNN-based performance measures for predicting error rates in automatic speech recognition and optimizing hearing aid parameters

Hynek Hermansky, Bernd T. Meyer, Guillermo Payá Vayá, 2019, Speech Commun..

Spectro-temporal modulation subspace-spanning filter bank features for robust automatic speech recognition.

B. Kollmeier, B. Meyer, M. R. Schädler, 2012, The Journal of the Acoustical Society of America.

Effect of speech-intrinsic variations on human and automatic recognition of spoken phonemes.

B. Kollmeier, B. Meyer, T. Brand, 2011, The Journal of the Acoustical Society of America.

A HUMAN-MACHINE COMPARISON IN SPEECH RECOGNITION BASED ON A LOGATOME CORPUS

B. Kollmeier, B. Meyer, T. Brand, 2006 .

On the relevance of auditory-based Gabor features for deep learning in robust speech recognition

Sri Harish Reddy Mallidi, Bernd T. Meyer, Angel Mario Castro Martinez, 2017, Comput. Speech Lang..

Learning from human errors: prediction of phoneme confusions based on modified ASR training

Birger Kollmeier, Bernd T. Meyer, B. Kollmeier, 2010, INTERSPEECH.

Single-ended prediction of listening effort using deep neural networks

B. Meyer, M. Krüger, R. Huber, 2017, Hearing Research.

Identifying the human-machine differences in complex binaural scenes: what can be learned from our auditory system

Constantin Spille, Bernd T. Meyer, B. Meyer, 2014, INTERSPEECH.

Human phoneme recognition depending on speech-intrinsic variability.

B. Kollmeier, B. Meyer, T. Brand, 2010, The Journal of the Acoustical Society of America.

Robust Speech Recognition Based on Spectro-temporal Features

B. Kollmeier, B. Meyer, Zweiter Gutachter, 2022 .

ROBUST SPEECH RECOGNITION BASED ON LOCALIZED SPECTRO-TEMPORAL FEATURES

B. Meyer, 2003 .

Age Effects on Concurrent Speech Segregation by Onset Asynchrony.

V. Hohmann, B. Meyer, A. Bendixen, 2019, Journal of speech, language, and hearing research : JSLHR.

Pruning vs XNOR-Net: A Comprehensive Study on Deep Learning for Audio Classification in Microcontrollers

C. Bergmeir, B. Meyer, Md Mohaimenuzzaman, 2021, 2108.06128.

On the Relevance of Auditory-Based Gabor Features for Deep Learning in Automatic Speech Recognition pdf

Sri Harish Reddy Mallidi, Bernd T. Meyer, Angel Mario Castro Martinez, 2017, ArXiv.

Speech Audiometry at Home: Automated Listening Tests via Smart Speakers With Normal-Hearing and Hearing-Impaired Listeners

B. Kollmeier, Jasper Ooster, B. Meyer, 2020, Trends in hearing.

A model of speech recognition for hearing-impaired listeners based on deep learning.

B. Kollmeier, B. Meyer, Jan-Ice Rossbach, 2022, The Journal of the Acoustical Society of America.

Spatial speech detection for binaural hearing aids using deep phoneme classifiers

H. Hermansky, H. Kayser, B. Meyer, 2022, Acta Acustica.

Binaural Scene Analysis and Automatic Speech Recognition

Mathias Dietz, V. Hohmann, B. Meyer, 2013 .

Speech Intelligibility Prediction for Hearing-Impaired Listeners with the LEAP Model

B. Meyer, T. Brand, J. Rennies, 2022, Interspeech 2022.

DNN-Based Speech Presence Probability Estimation for Multi-Frame Single-Microphone Speech Enhancement

S. Doclo, B. Meyer, Marvin Tammen, 2019, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Potential of self-conducted speech audiometry with smart speakers

Jasper Ooster, B. Meyer, K. Wagener, 2019 .

The time course of adaptation to distorted speech.

M. Cooke, B. Meyer, O. Scharenborg, 2022, The Journal of the Acoustical Society of America.

Binaural Scene Analysis with Multidimensional Statistical Filters

Volker Hohmann, Constantin Spille, Bernd T. Meyer, 2013 .

A study on joint beamforming and spectral enhancement for robust speech recognition in reverberant environments

Stefan Goetze, Bernd T. Meyer, Feifei Xiong, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Human and automatic speech recognition in the presence of speech-intrinsic variations

Bernd T. Meyer, B. Meyer, 2009 .

Oldenburg logatome speech corpus (OLLO) for speech recognition experiments with humans and machines

Alfred Mertins, Birger Kollmeier, Jörn Anemüller, 2005, INTERSPEECH.

Perception of Speech and Sound

Birger Kollmeier, Bernd T. Meyer, Thomas Brand, 2008 .

DNN-Based Automatic Speech Recognition as a Model for Human Phoneme Perception

Bernd T. Meyer, Mats Exter, B. Meyer, 2016, INTERSPEECH.

Joint Estimation of Reverberation Time and Early-To-Late Reverberation Ratio From Single-Channel Speech Signals

Birger Kollmeier, Stefan Goetze, Bernd T. Meyer, 2019, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

NOISE ROBUST DISTANT AUTOMATIC SPEECH RECOGNITION UTILIZING NMF BASED SOURCE SEPARATION AND AUDITORY FEATURE EXTRACTION

Tim Jürgens, Birger Kollmeier, Marc René Schädler, 2013 .

Dual-Signal Transformation LSTM Network for Real-Time Noise Suppression

Nils L. Westhausen, B. Meyer, 2020, INTERSPEECH.

Robust ASR in Reverberant Environments using Temporal Cepstrum Smoothing for Speech Enhancement and an Amplitude Modulation Filterbank for Feature Extraction

Niko Moritz, Stefan Goetze, Bernd T. Meyer, 2014 .

Front-end technologies for robust ASR in reverberant environments—spectral enhancement-based dereverberation and auditory modulation filterbank features

S. Doclo, Timo Gerkmann, B. Meyer, 2015, EURASIP J. Adv. Signal Process..

Estimating room acoustic parameters for speech recognizer adaptation and combination in reverberant environments

Stefan Goetze, Bernd T. Meyer, Feifei Xiong, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Blind estimation of reverberation time based on spectro-temporal modulation filtering

Stefan Goetze, Bernd T. Meyer, Feifei Xiong, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Robustness of spectro-temporal features against intrinsic and extrinsic variations in automatic speech recognition

Birger Kollmeier, Bernd T. Meyer, B. Kollmeier, 2011, Speech Commun..

Comparing Different Flavors of Spectro-Temporal Features for ASR

Marc René Schädler, Bernd T. Meyer, Nelson Morgan, 2011, INTERSPEECH.

Acoustic Echo Cancellation with the Dual-Signal Transformation LSTM Network

Nils L. Westhausen, B. Meyer, 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Machine learning for decoding listeners’ attention from electroencephalography evoked by continuous speech

Birger Kollmeier, Tobias de Taillez, Bernd T Meyer, 2020, The European journal of neuroscience.

Improving Deep Models of Speech Quality Prediction through Voice Activity Detection and Entropy-based Measures

Bernd T. Meyer, Jasper Ooster, Jasper Ooster, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Electroencephalography-Based Auditory Attention Decoding: Toward Neurosteered Hearing Devices

Alexander Bertrand, Bernd T. Meyer, Tom Francart, 2020, IEEE Signal Processing Magazine.

Predicting error rates for unknown data in automatic speech recognition

Hynek Hermansky, Sri Harish Reddy Mallidi, Bernd T. Meyer, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

"Computer, Test My Hearing": Accurate Speech Audiometry with Smart Speakers

Bernd T. Meyer, Jörg-Hendrik Bach, Inga Holube, 2019, INTERSPEECH.

Comparing human and automatic speech recognition in simple and complex acoustic scenes

Birger Kollmeier, Constantin Spille, Bernd T. Meyer, 2018, Comput. Speech Lang..

Reduction of Subjective Listening Effort for TV Broadcast Signals With Recurrent Neural Networks

Bernd T. Meyer, Jan Rennies, Rainer Huber, 2021, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Predicting speech intelligibility with deep neural networks

Birger Kollmeier, Constantin Spille, Stephan Dieter Ewert, 2018, Comput. Speech Lang..

Prediction of Subjective Listening Effort from Acoustic Data with Non-Intrusive Deep Models

Birger Kollmeier, Bernd T. Meyer, Rainer Huber, 2018, INTERSPEECH.

Prediction of speech intelligibility with DNN-based performance measures

Angel Mario Castro Martinez, B. Kollmeier, B. Meyer, 2021, Comput. Speech Lang..

Listening in the Dips: Comparing Relevant Features for Speech Recognition in Humans and Machines

Constantin Spille, Bernd T. Meyer, B. Meyer, 2017, INTERSPEECH.

Neuro-Steered Hearing Devices: Decoding Auditory Attention From the Brain

Bernd T. Meyer, Alexander Bertrand, Tom Francart, 2020 .

Low Bit Rate Binaural Link for Improved Ultra Low-Latency Low-Complexity Multichannel Speech Enhancement in Hearing Aids

Nils L. Westhausen, B. Meyer, 2023, 2023 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).

Multilingual Query-by-Example Keyword Spotting with Metric Learning and Phoneme-to-Embedding Mapping

B. Meyer, Christian Rollwage, Paul Reuter, 2023, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

tPLCnet: Real-time Deep Packet Loss Concealment in the Time Domain Using a Short Temporal Context

Nils L. Westhausen, B. Meyer, 2022, INTERSPEECH.