Jörn Anemüller

发表

A CHiME-3 challenge system: Long-term acoustic features for noise robust automatic speech recognition

Birger Kollmeier, Niko Moritz, Stephan Gerlach, 2015, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU).

Incongruence Detection in Audio-Visual Processing

Jörn Anemüller, Michal Havlena, Jan Heller, 2012, Detection and Identification of Rare Audiovisual Cues.

Predictability of STRFs in auditory cortex neurons depends on stimulus class

Jörn Anemüller, Max F. K. Happel, Simon Müller, 2008, INTERSPEECH.

Classifier Architectures for Acoustic Scenes and Events: Implications for DNNs, TDNNs, and Perceptual Features from DCASE 2016

Birger Kollmeier, Niko Moritz, Jörn Anemüller, 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Estimation of spectro-temporal receptive fields based on linear support vector machine classification

Jörn Anemüller, Max F. K. Happel, Arne F Meyer, 2009, BMC Neuroscience.

Detection of speech embedded in real acoustic background based on amplitude modulation spectrogram features

Jörn Anemüller, Jörg-Hendrik Bach, Denny Schmidt, 2008, INTERSPEECH.

On the use of spectro-temporal features for the IEEE AASP challenge ‘detection and classification of acoustic scenes and events’

Birger Kollmeier, Marc René Schädler, Niko Moritz, 2013, 2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics.

Monaural Azimuth Localization Using Spectral Dynamics of Speech

Daphna Weinshall, Jörn Anemüller, Hendrik Kayser, 2011, INTERSPEECH.

An Auditory Inspired Amplitude Modulation Filter Bank for Robust Feature Extraction in Automatic Speech Recognition

Birger Kollmeier, Niko Moritz, Jörn Anemüller, 2015, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Amplitude Modulation Filters as Feature Sets for Robust ASR: Constant Absolute or Relative Bandwidth?

Birger Kollmeier, Niko Moritz, Jörn Anemüller, 2012, INTERSPEECH.

Probabilistic Spatial Filter Estimation for Signal Enhancement in Multi-Channel Automatic Speech Recognition

Niko Moritz, Jörn Anemüller, Hendrik Kayser, 2016, INTERSPEECH.

Amplitude Modulation Decorrelation For Convolutive Blind Source Separation

Birger Kollmeier, Jörn Anemüller, B. Kollmeier, 2000 .

Temporal variability of spectro-temporal receptive fields in the anesthetized auditory cortex

Jörn Anemüller, Frank W. Ohl, Arne-Freerk Meyer, 2014, Front. Comput. Neurosci..

Adaptive separation of acoustic sources for anechoic conditions: A constrained frequency domain approach

Birger Kollmeier, Jörn Anemüller, B. Kollmeier, 2003, Speech Commun..

Detecting novel objects in acoustic scenes through classifier incongruence

Jörn Anemüller, Jörg-Hendrik Bach, J. Anemüller, 2010, INTERSPEECH.

Modulation-based detection of speech in real background noise: Generalization to novel background classes

Birger Kollmeier, Jörn Anemüller, Jörg-Hendrik Bach, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

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..

Classification of human cough signals using spectro-temporal Gabor filterbank features

Jörn Anemüller, Stefan Goetze, Jens Schröder, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Audio Classification and Localization for Incongruent Event Detection

Jörn Anemüller, Hendrik Kayser, Jörg-Hendrik Bach, 2012, Detection and Identification of Rare Audiovisual Cues.

ON-LINE BLIND SEPARATION OF MOVING SOUND SOURCES

Jörn Anemüller, Tino Gramss, J. Anemüller, 1999 .

Amplitude modulation spectrogram based features for robust speech recognition in noisy and reverberant environments

Birger Kollmeier, Niko Moritz, Jörn Anemüller, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Probabilistic Spatial Filter Estimation for Multi-Channel Signal Enhancement in Hearing Aids

Jörn Anemüller, Hendrik Kayser, H. Kayser, 2016, ITG Symposium on Speech Communication.

The DIRAC AWEAR audio-visual platform for detection of unexpected and incongruent events

Petr Motlícek, Luc Van Gool, Misha Pavel, 2008, ICMI '08.

Spectro-Temporal Gabor Filterbank Features for Acoustic Event Detection

Jörn Anemüller, Stefan Goetze, Jens Schröder, 2015, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Second-Order Separation of Multidimensional Sources with Constrained Mixing System

Jörn Anemüller, J. Anemüller, 2006, ICA.

Jörn Anemüller, J. Anemüller, 1999 .

A discriminative learning approach to probabilistic acoustic source localization

Jörn Anemüller, Hendrik Kayser, H. Kayser, 2014, 2014 14th International Workshop on Acoustic Signal Enhancement (IWAENC).

Complex Independent Component Analysis of Frequency-Domain Electroencephalographic Data

Terrence J. Sejnowski, Jörn Anemüller, Scott Makeig, 2003, Neural Networks.

Automatic acoustic siren detection in traffic noise by part-based models

Jörn Anemüller, Stefan Goetze, Jens Schröder, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Object Category Detection Using Audio-Visual Cues

Barbara Caputo, Jörn Anemüller, Jörg-Hendrik Bach, 2008, ICVS.

Estimation of inter-channel phase differences using non-negative matrix factorization

Kamil Adiloglu, Jörn Anemüller, Hendrik Kayser, 2014, 2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM).

Multi-Channel Speech Enhancement and Amplitude Modulation Analysis for Noise Robust Automatic Speech Recognition

Birger Kollmeier, Kamil Adiloglu, Jörn Anemüller, 2017, Comput. Speech Lang..

Acoustic Source Localization by Combination of Supervised Direction-of-Arrival Estimation with Disjoint Component Analysis

Jörn Anemüller, Hendrik Kayser, 2017, LVA/ICA.

Machine listening in spatial acoustic scenes with deep networks in different microphone geometries

Jörn Anemüller, 2020 .

Statistical identification of stimulus-activated network nodes in multi-neuron voltage-sensitive dye optical recordings

Jörn Anemüller, Jutta Kretzberg, Elham Fathiazar, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

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

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

Database of Multichannel In-Ear and Behind-the-Ear Head-Related and Binaural Room Impulse Responses

Volker Hohmann, Birger Kollmeier, Jörn Anemüller, 2009, EURASIP J. Adv. Signal Process..

DIRAC: Detection and Identification of Rare Audio-Visual Events

Luc Van Gool, Misha Pavel, Daphna Weinshall, 2012, Detection and Identification of Rare Audiovisual Cues.

Reliable Measurement of Cortical Flow Patterns Using Complex Independent Component Analysis of Electroencephalographic Signals

Terrence J. Sejnowski, Jörn Anemüller, Scott Makeig, 2004, ICA.

Towards end-to-end speech enhancement with a variational U-Net architecture pdf

Jörn Anemüller, Eike J. Nustede, 2020, ArXiv.

Integration of Optimized Modulation Filter Sets Into Deep Neural Networks for Automatic Speech Recognition

Birger Kollmeier, Niko Moritz, Jörn Anemüller, 2016, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Evaluation and comparison of different machine learning approaches to auditory spectro-temporal receptive field estimation

Jörn Anemüller, Arne F Meyer, Frank W Ohl, 2011, BMC Neuroscience.

Maximization of Component Disjointness: A Criterion for Blind Source Separation

Jörn Anemüller, J. Anemüller, 2007, ICA.

Automatic classification of audio data using nonlinear neural response models

Jörn Anemüller, Jörg-Hendrik Bach, Arne-Freerk Meyer, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Unraveling Spatio-temporal Dynamics in fMRI Recordings Using Complex ICA

Terrence J. Sejnowski, Jörn Anemüller, Scott Makeig, 2004, ICA.

Fast and robust estimation of spectro-temporal receptive fields using stochastic approximations

Jörn Anemüller, Frank W. Ohl, Arne F. Meyer, 2015, Journal of Neuroscience Methods.

Multi-channel signal enhancement with speech and noise covariance estimates computed by a probabilistic localization model

Jörn Anemüller, Hendrik Kayser, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Robust speech detection in real acoustic backgrounds with perceptually motivated features

Birger Kollmeier, Jörn Anemüller, Jörg-Hendrik Bach, 2011, Speech Commun..

Spatio-temporal dynamics in fMRI recordings revealed with complex independent component analysis

Terrence J. Sejnowski, Jörn Anemüller, Scott Makeig, 2006, Neurocomputing.

Hierarchical approach to voice activity detection in realistic environmental noise

Jörn Anemüller, Jörg-Hendrik Bach, 2008 .

Towards speech enhancement using a variational U-Net architecture

Jörn Anemüller, Eike Jannik Nustede, 2021, 2021 29th European Signal Processing Conference (EUSIPCO).

Performance comparison of GMM, HMM and DNN based approaches for acoustic event detection within Task 3 of the DCASE 2016 challenge

Jörn Anemüller, Stefan Goetze, Jens Schröder, 2016, DCASE.

Acoustic Scene Classification using Time-Delay Neural Networks and Amplitude Modulation Filter Bank Features

Birger Kollmeier, Jörn Anemüller, Stefan Goetze, 2016, DCASE.

Acoustic Feature Selection for Speech Detection based on Amplitude Modulation Spectrograms

Jörn Anemüller, Denny Schmidt, 2009 .

Robust auditory localization using probabilistic inference and coherence-based weighting of interaural cues.

Volker Hohmann, Birger Kollmeier, Jörn Anemüller, 2015, The Journal of the Acoustical Society of America.

Across-frequency processing in convolutive blind source separation

Jörn Anemüller, J. Anemüller, 2001 .