Jörn Anemüller

Orcid: 0000-0001-5564-5795

Affiliations:
  • University of Oldenburg, Germany


According to our database1, Jörn Anemüller authored at least 49 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
On the Generalization Ability of Complex-Valued Variational U-Networks for Single-Channel Speech Enhancement.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

2023
Single-Channel Speech Enhancement with Deep Complex U-Networks and Probabilistic Latent Space Models.
Proceedings of the IEEE International Conference on Acoustics, 2023

2021
Towards speech enhancement using a variational U-Net architecture.
Proceedings of the 29th European Signal Processing Conference, 2021

2020
Towards end-to-end speech enhancement with a variational U-Net architecture.
CoRR, 2020

Machine listening in spatial acoustic scenes with deep networks in different microphone geometries.
Proceedings of the 2020 Northern Lights Deep Learning Workshop, 2020

2017
Classifier Architectures for Acoustic Scenes and Events: Implications for DNNs, TDNNs, and Perceptual Features from DCASE 2016.
IEEE ACM Trans. Audio Speech Lang. Process., 2017

Multi-Channel Speech Enhancement and Amplitude Modulation Analysis for Noise Robust Automatic Speech Recognition.
Comput. Speech Lang., 2017

Multi-channel signal enhancement with speech and noise covariance estimates computed by a probabilistic localization model.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Acoustic Source Localization by Combination of Supervised Direction-of-Arrival Estimation with Disjoint Component Analysis.
Proceedings of the Latent Variable Analysis and Signal Separation, 2017

2016
Integration of Optimized Modulation Filter Sets Into Deep Neural Networks for Automatic Speech Recognition.
IEEE ACM Trans. Audio Speech Lang. Process., 2016

Probabilistic Spatial Filter Estimation for Signal Enhancement in Multi-Channel Automatic Speech Recognition.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

Classification of human cough signals using spectro-temporal Gabor filterbank features.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Statistical identification of stimulus-activated network nodes in multi-neuron voltage-sensitive dye optical recordings.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Performance comparison of GMM, HMM and DNN based approaches for acoustic event detection within Task 3 of the DCASE 2016 challenge.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2016

Acoustic Scene Classification using Time-Delay Neural Networks and Amplitude Modulation Filter Bank Features.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2016

Probabilistic Spatial Filter Estimation for Multi-Channel Signal Enhancement in Hearing Aids.
Proceedings of the 12th ITG Symposium on Speech Communication, 2016

2015
Spectro-Temporal Gabor Filterbank Features for Acoustic Event Detection.
IEEE ACM Trans. Audio Speech Lang. Process., 2015

An Auditory Inspired Amplitude Modulation Filter Bank for Robust Feature Extraction in Automatic Speech Recognition.
IEEE ACM Trans. Audio Speech Lang. Process., 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

A CHiME-3 challenge system: Long-term acoustic features for noise robust automatic speech recognition.
Proceedings of the 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, 2015

2014
Temporal variability of spectro-temporal receptive fields in the anesthetized auditory cortex.
Frontiers Comput. Neurosci., 2014

A discriminative learning approach to probabilistic acoustic source localization.
Proceedings of the 14th International Workshop on Acoustic Signal Enhancement, 2014

Estimation of inter-channel phase differences using non-negative matrix factorization.
Proceedings of the IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, 2014

2013
On the use of spectro-temporal features for the IEEE AASP challenge 'detection and classification of acoustic scenes and events'.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2013

Automatic acoustic siren detection in traffic noise by part-based models.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Incongruence Detection in Audio-Visual Processing.
Proceedings of the Detection and Identification of Rare Audiovisual Cues, 2012

Audio Classification and Localization for Incongruent Event Detection.
Proceedings of the Detection and Identification of Rare Audiovisual Cues, 2012

DIRAC: Detection and Identification of Rare Audio-Visual Events.
Proceedings of the Detection and Identification of Rare Audiovisual Cues, 2012

Beyond Novelty Detection: Incongruent Events, When General and Specific Classifiers Disagree.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Amplitude Modulation Filters as Feature Sets for Robust ASR: Constant Absolute or Relative Bandwidth?
Proceedings of the 13th Annual Conference of the International Speech Communication Association, 2012

Automatic classification of audio data using nonlinear neural response models.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Robust speech detection in real acoustic backgrounds with perceptually motivated features.
Speech Commun., 2011

Monaural Azimuth Localization Using Spectral Dynamics of Speech.
Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011

Amplitude modulation spectrogram based features for robust speech recognition in noisy and reverberant environments.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
Detecting novel objects in acoustic scenes through classifier incongruence.
Proceedings of the 11th Annual Conference of the International Speech Communication Association, 2010

Modulation-based detection of speech in real background noise: Generalization to novel background classes.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
Database of Multichannel In-Ear and Behind-the-Ear Head-Related and Binaural Room Impulse Responses.
EURASIP J. Adv. Signal Process., 2009

2008
Predictability of STRFs in auditory cortex neurons depends on stimulus class.
Proceedings of the 9th Annual Conference of the International Speech Communication Association, 2008

Detection of speech embedded in real acoustic background based on amplitude modulation spectrogram features.
Proceedings of the 9th Annual Conference of the International Speech Communication Association, 2008

Object Category Detection Using Audio-Visual Cues.
Proceedings of the Computer Vision Systems, 6th International Conference, 2008

The DIRAC AWEAR audio-visual platform for detection of unexpected and incongruent events.
Proceedings of the 10th International Conference on Multimodal Interfaces, 2008

2007
Maximization of Component Disjointness: A Criterion for Blind Source Separation.
Proceedings of the Independent Component Analysis and Signal Separation, 2007

2006
Spatio-temporal dynamics in fMRI recordings revealed with complex independent component analysis.
Neurocomputing, 2006

Second-Order Separation of Multidimensional Sources with Constrained Mixing System.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

2005
Oldenburg logatome speech corpus (OLLO) for speech recognition experiments with humans and machines.
Proceedings of the 9th European Conference on Speech Communication and Technology, 2005

2004
Reliable Measurement of Cortical Flow Patterns Using Complex Independent Component Analysis of Electroencephalographic Signals.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Unraveling Spatio-temporal Dynamics in fMRI Recordings Using Complex ICA.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

2003
Adaptive separation of acoustic sources for anechoic conditions: A constrained frequency domain approach.
Speech Commun., 2003

Complex independent component analysis of frequency-domain electroencephalographic data.
Neural Networks, 2003


  Loading...