Jörn Anemüller
Affiliations:- University of Oldenburg, Germany
According to our database1,
Jörn Anemüller
authored at least 48 papers
between 2003 and 2023.
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Bibliography
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
Proceedings of the 29th European Signal Processing Conference, 2021
2020
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 Interspeech 2016, 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
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
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
Proceedings of the IEEE International Conference on Acoustics, 2013
2012
Proceedings of the Detection and Identification of Rare Audiovisual Cues, 2012
Proceedings of the Detection and Identification of Rare Audiovisual Cues, 2012
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 INTERSPEECH 2012, 2012
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
Proceedings of the INTERSPEECH 2011, 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
Proceedings of the INTERSPEECH 2010, 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
Proceedings of the INTERSPEECH 2008, 2008
Detection of speech embedded in real acoustic background based on amplitude modulation spectrogram features.
Proceedings of the INTERSPEECH 2008, 2008
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
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
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 INTERSPEECH 2005, 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
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