Bernd T. Meyer

发表

Predicting speech intelligibility with deep neural networks

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

Exploring Auditory-Inspired Acoustic Features for Room Acoustic Parameter Estimation From Monaural Speech

Birger Kollmeier, Stefan Goetze, Bernd T. Meyer, 2018, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

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

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

What's the difference? comparing humans and machines on the Aurora 2 speech recognition task

Bernd T. Meyer, 2013, INTERSPEECH.

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).

Mutual benefits of auditory spectro-temporal Gabor features and deep learning for the 3rd CHiME Challenge

Bernd T. Meyer, Angel Mario Castro Martinez, 2015 .

Spectro-temporal features for noise-robust speech recognition using power-law nonlinearity and power-bias subtraction

Bernd T. Meyer, Nelson Morgan, Shuo-Yiin Chang, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Spectro-temporal Gabor features for speaker recognition

Bernd T. Meyer, Nikki Mirghafori, Howard Lei, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Hooking up spectro-temporal filters with auditory-inspired representations for robust automatic speech recognition

Birger Kollmeier, Constantin Spille, Bernd T. Meyer, 2012, INTERSPEECH.

Prediction of Perceived Speech Quality Using Deep Machine Listening

Bernd T. Meyer, Rainer Huber, Jasper Ooster, 2018, INTERSPEECH.

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

Bernd T. Meyer, Simon Doclo, Marvin Tammen, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

On DNN posterior probability combination in multi-stream speech recognition for reverberant environments

Stefan Goetze, Bernd T. Meyer, Feifei Xiong, 2017, 2017 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 .

Joint Estimation of Reverberation Time and Direct-to-Reverberation Ratio from Speech using Auditory-Inspired Features pdf

Stefan Goetze, Bernd T. Meyer, Feifei Xiong, 2015, ArXiv.

Optimization and evaluation of Gabor feature sets for ASR

Birger Kollmeier, Bernd T. Meyer, 2008, INTERSPEECH.

Objective Assessment of a Speech Enhancement Scheme with an Automatic Speech Recognition-Based System

Bernd T. Meyer, Jan Rennies, Rainer Huber, 2018, ITG Symposium on Speech Communication.

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

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

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..

Performance comparison of real-time single-channel speech dereverberation algorithms

Stefan Goetze, Bernd T. Meyer, Simon Doclo, 2017, 2017 Hands-free Speech Communications and Microphone Arrays (HSCMA).

Introducing Temporal Rate Coding for Speech in Cochlear Implants: A Microscopic Evaluation in Humans and Models

Tim Jürgens, Bernd T. Meyer, Mathias Dietz, 2016, INTERSPEECH.

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..

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).

Neural Responses to Speech-Specific Modulations Derived from a Spectro-Temporal Filter Bank

Bernd T. Meyer, Gerwin Schalk, Cristiano Micheli, 2016, INTERSPEECH.

Phoneme confusions in human and automatic speech recognition

Birger Kollmeier, Bernd T. Meyer, Matthias Wächter, 2007, INTERSPEECH.

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

Niko Moritz, Jörn Anemüller, Stefan Goetze, 2015, EURASIP J. Adv. Signal Process..

Individual speech recognition in noise, the audiogram and more: Using automatic speech recognition (ASR) as a modelling tool

Anna Warzybok, Birger Kollmeier, Marc René Schädler, 2015 .

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 .

The non-native consonant challenge for european languages

Bernd T. Meyer, Odette Scharenborg, Jan Volín, 2008, INTERSPEECH.

Should deep neural nets have ears? the role of auditory features in deep learning approaches

Niko Moritz, Bernd T. Meyer, Angel Mario Castro Martinez, 2014, INTERSPEECH.

Binaural Scene Analysis with Multidimensional Statistical Filters

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

Acoustic echo cancellation with the dual-signal transformation LSTM network

Bernd T. Meyer, Nils L. Westhausen, 2020 .

Modeling Nonlinear Transfer Functions from Speech Envelopes to Encephalography with Neural Networks

Birger Kollmeier, Bernd T. Meyer, Tobias de Taillez, 2019 .

Complementarity of MFCC, PLP and Gabor features in the presence of speech-intrinsic variabilities

Birger Kollmeier, Bernd T. Meyer, 2009, INTERSPEECH.

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.

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).

Combining Binaural and Cortical Features for Robust Speech Recognition

Birger Kollmeier, Constantin Spille, Bernd T. Meyer, 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Evaluation of an automated speech-controlled listening test with spontaneous and read responses

Birger Kollmeier, Bernd T. Meyer, Rainer Huber, 2018, Speech Commun..

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

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

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

Bernd T. Meyer, Nils L. Westhausen, 2020, INTERSPEECH.

Assessing Speech Quality in Speech-Aware Hearing Aids Based on Phoneme Posteriorgrams

Hynek Hermansky, Constantin Spille, Bernd T. Meyer, 2016, INTERSPEECH.

Single-Ended Speech Quality Prediction Based on Automatic Speech Recognition

Bernd T. Meyer, Rainer Huber, Jasper Ooster, 2018 .

Extraction of Spectro-Temporal Speech Cues for Robust Automatic speech Recognition

Bernd T. Meyer, 2011, Semantic Audio.

Perception of Speech and Sound

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

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

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

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

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

Combination strategy based on relative performance monitoring for multi-stream reverberant speech recognition

Stefan Goetze, Bernd T. Meyer, Feifei Xiong, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

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

Comparing Different Flavors of Spectro-Temporal Features for ASR

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

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

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

Improving automatic speech recognition in spatially-aware hearing aids

Constantin Spille, Bernd T. Meyer, Hendrik Kayser, 2015, INTERSPEECH.

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 reception in noise: How much do we understand?

Tim Jürgens, Birger Kollmeier, Bernd T. Meyer, 2007 .

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

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

Performance monitoring for automatic speech recognition in noisy multi-channel environments

Hynek Hermansky, Sri Harish Reddy Mallidi, Bernd T. Meyer, 2016, 2016 IEEE Spoken Language Technology Workshop (SLT).

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

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

Using binarual processing for automatic speech recognition in multi-talker scenes

Volker Hohmann, Constantin Spille, Bernd T. Meyer, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Single-Ended Prediction of Listening Effort Based on Automatic Speech Recognition

Constantin Spille, Bernd T. Meyer, Rainer Huber, 2017, INTERSPEECH.

Autonomous measurement of speech intelligibility utilizing automatic speech recognition

Birger Kollmeier, Bernd T. Meyer, Jasper Ooster, 2015, 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.

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.

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

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

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).

Modelling human speech recognition in challenging noise maskers using machine learning

Birger Kollmeier, Constantin Spille, Bernd T. Meyer, 2020 .

Electroencephalography-Based Auditory Attention Decoding: Toward Neurosteered Hearing Devices

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

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.

Non-Intrusive Binaural Prediction of Speech Intelligibility Based on Phoneme Classification

Bernd T. Meyer, Thomas Brand, Christopher F. Hauth, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Sentence Recognition Prediction for Hearing-impaired Listeners in Stationary and Fluctuation Noise With FADE

Anna Warzybok, Birger Kollmeier, Marc René Schädler, 2016, Trends in hearing.