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ORCIDJörn Anemüller
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- affiliation: University of Oldenburg, Germany
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2020 – today
- 2024
[j14]Eike Jannik Nustede
, Jörn Anemüller:
On the Generalization Ability of Complex-Valued Variational U-Networks for Single-Channel Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3838-3849 (2024)- 2023
- [c31]Eike Jannik Nustede, Jörn Anemüller:
Single-Channel Speech Enhancement with Deep Complex U-Networks and Probabilistic Latent Space Models. ICASSP 2023: 1-5 - [i3]Eike Jannik Nustede, Jörn Anemüller:
Single-Channel Speech Enhancement with Deep Complex U-Networks and Probabilistic Latent Space Models. CoRR abs/2309.01535 (2023) - 2021
- [c30]Eike Jannik Nustede, Jörn Anemüller:
Towards speech enhancement using a variational U-Net architecture. EUSIPCO 2021: 481-485 - 2020
- [c29]Jörn Anemüller:
Machine listening in spatial acoustic scenes with deep networks in different microphone geometries. NLDL 2020: 1-6 - [i2]Eike Jannik Nustede, Jörn Anemüller:
Towards end-to-end speech enhancement with a variational U-Net architecture. CoRR abs/2012.03594 (2020)
2010 – 2019
- 2017
- [j13]Niko Moritz, Kamil Adiloglu, Jörn Anemüller, Stefan Goetze, Birger Kollmeier:
Multi-Channel Speech Enhancement and Amplitude Modulation Analysis for Noise Robust Automatic Speech Recognition. Comput. Speech Lang. 46: 558-573 (2017) - [j12]Jens Schröder, Niko Moritz, Jörn Anemüller, Stefan Goetze, Birger Kollmeier:
Classifier Architectures for Acoustic Scenes and Events: Implications for DNNs, TDNNs, and Perceptual Features from DCASE 2016. IEEE ACM Trans. Audio Speech Lang. Process. 25(6): 1304-1314 (2017) - [c28]Jörn Anemüller, Hendrik Kayser:
Acoustic Source Localization by Combination of Supervised Direction-of-Arrival Estimation with Disjoint Component Analysis. LVA/ICA 2017: 99-108 - [c27]Jörn Anemüller, Hendrik Kayser:
Multi-channel signal enhancement with speech and noise covariance estimates computed by a probabilistic localization model. ICASSP 2017: 156-160 - 2016
- [j11]Niko Moritz, Birger Kollmeier, Jörn Anemüller:
Integration of Optimized Modulation Filter Sets Into Deep Neural Networks for Automatic Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 24(12): 2439-2452 (2016) - [c26]Hendrik Kayser, Jörn Anemüller:
Probabilistic Spatial Filter Estimation for Multi-Channel Signal Enhancement in Hearing Aids. ITG Symposium on Speech Communication 2016: 1-5 - [c25]Niko Moritz, Jens Schröder, Stefan Goetze, Jörn Anemüller, Birger Kollmeier:
Acoustic Scene Classification using Time-Delay Neural Networks and Amplitude Modulation Filter Bank Features. DCASE 2016: 70-74 - [c24]Jens Schröder, Jörn Anemüller, Stefan Goetze:
Performance comparison of GMM, HMM and DNN based approaches for acoustic event detection within Task 3 of the DCASE 2016 challenge. DCASE 2016: 80-84 - [c23]Elham Fathiazar, Jörn Anemüller, Jutta Kretzberg:
Statistical identification of stimulus-activated network nodes in multi-neuron voltage-sensitive dye optical recordings. EMBC 2016: 3899-3903 - [c22]Jens Schröder, Jörn Anemüller, Stefan Goetze:
Classification of human cough signals using spectro-temporal Gabor filterbank features. ICASSP 2016: 6455-6459 - [c21]Hendrik Kayser, Niko Moritz, Jörn Anemüller:
Probabilistic Spatial Filter Estimation for Signal Enhancement in Multi-Channel Automatic Speech Recognition. INTERSPEECH 2016: 2562-2566 - 2015
- [j10]Feifei Xiong, Bernd T. Meyer, Niko Moritz, Robert Rehr, Jörn Anemüller, Timo Gerkmann, Simon Doclo, Stefan Goetze:
Front-end technologies for robust ASR in reverberant environments - spectral enhancement-based dereverberation and auditory modulation filterbank features. EURASIP J. Adv. Signal Process. 2015: 70 (2015) - [j9]Niko Moritz, Jörn Anemüller, Birger Kollmeier:
An Auditory Inspired Amplitude Modulation Filter Bank for Robust Feature Extraction in Automatic Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 23(11): 1926-1937 (2015) - [j8]Jens Schröder, Stefan Goetze, Jörn Anemüller:
Spectro-Temporal Gabor Filterbank Features for Acoustic Event Detection. IEEE ACM Trans. Audio Speech Lang. Process. 23(12): 2198-2208 (2015) - [c20]Niko Moritz, Stephan Gerlach, Kamil Adiloglu, Jörn Anemüller, Birger Kollmeier, Stefan Goetze:
A CHiME-3 challenge system: Long-term acoustic features for noise robust automatic speech recognition. ASRU 2015: 468-474 - 2014
- [j7]Arne-Freerk Meyer, Jan-Philipp Diepenbrock, Frank W. Ohl, Jörn Anemüller:
Temporal variability of spectro-temporal receptive fields in the anesthetized auditory cortex. Frontiers Comput. Neurosci. 8: 165 (2014) - [c19]Hendrik Kayser, Jörn Anemüller, Kamil Adiloglu:
Estimation of inter-channel phase differences using non-negative matrix factorization. SAM 2014: 77-80 - [c18]Hendrik Kayser, Jörn Anemüller:
A discriminative learning approach to probabilistic acoustic source localization. IWAENC 2014: 99-103 - 2013
- [c17]Jens Schröder, Stefan Goetze, Volker Grutzmacher, Jörn Anemüller:
Automatic acoustic siren detection in traffic noise by part-based models. ICASSP 2013: 493-497 - [c16]Jens Schröder, Niko Moritz, Marc René Schädler, Benjamin Cauchi, Kamil Adiloglu, Jörn Anemüller, Simon Doclo, Birger Kollmeier, Stefan Goetze:
On the use of spectro-temporal features for the IEEE AASP challenge 'detection and classification of acoustic scenes and events'. WASPAA 2013: 1-4 - 2012
- [j6]Daphna Weinshall, Alon Zweig, Hynek Hermansky, Stefan Kombrink, Frank W. Ohl, Jörn Anemüller, Jörg-Hendrik Bach, Luc Van Gool, Fabian Nater, Tomás Pajdla, Michal Havlena, Misha Pavel:
Beyond Novelty Detection: Incongruent Events, When General and Specific Classifiers Disagree. IEEE Trans. Pattern Anal. Mach. Intell. 34(10): 1886-1901 (2012) - [c15]Jörg-Hendrik Bach, Arne-Freerk Meyer, Duncan C. McElfresh, Jörn Anemüller:
Automatic classification of audio data using nonlinear neural response models. ICASSP 2012: 357-360 - [c14]Niko Moritz, Jörn Anemüller, Birger Kollmeier:
Amplitude Modulation Filters as Feature Sets for Robust ASR: Constant Absolute or Relative Bandwidth? INTERSPEECH 2012: 1231-1234 - [p3]Jörn Anemüller, Barbara Caputo, Hynek Hermansky, Frank W. Ohl, Tomás Pajdla, Misha Pavel, Luc Van Gool, Rufin Vogels, Stefan Wabnik, Daphna Weinshall:
DIRAC: Detection and Identification of Rare Audio-Visual Events. Detection and Identification of Rare Audiovisual Cues 2012: 3-35 - [p2]Jörg-Hendrik Bach, Hendrik Kayser, Jörn Anemüller:
Audio Classification and Localization for Incongruent Event Detection. Detection and Identification of Rare Audiovisual Cues 2012: 39-46 - [p1]Michal Havlena, Jan Heller, Hendrik Kayser, Jörg-Hendrik Bach, Jörn Anemüller, Tomás Pajdla:
Incongruence Detection in Audio-Visual Processing. Detection and Identification of Rare Audiovisual Cues 2012: 67-75 - [e1]Daphna Weinshall, Jörn Anemüller, Luc Van Gool:
Detection and Identification of Rare Audiovisual Cues. Studies in Computational Intelligence 384, Springer 2012, ISBN 978-3-642-24033-1 [contents] - 2011
- [j5]Jörg-Hendrik Bach, Jörn Anemüller, Birger Kollmeier:
Robust speech detection in real acoustic backgrounds with perceptually motivated features. Speech Commun. 53(5): 690-706 (2011) - [c13]Niko Moritz, Jörn Anemüller, Birger Kollmeier:
Amplitude modulation spectrogram based features for robust speech recognition in noisy and reverberant environments. ICASSP 2011: 5492-5495 - [c12]Roi Kliper, Hendrik Kayser, Daphna Weinshall, Israel Nelken, Jörn Anemüller:
Monaural Azimuth Localization Using Spectral Dynamics of Speech. INTERSPEECH 2011: 33-36 - 2010
- [c11]Jörg-Hendrik Bach, Birger Kollmeier, Jörn Anemüller:
Modulation-based detection of speech in real background noise: Generalization to novel background classes. ICASSP 2010: 41-44 - [c10]Jörg-Hendrik Bach, Jörn Anemüller:
Detecting novel objects in acoustic scenes through classifier incongruence. INTERSPEECH 2010: 2206-2209
2000 – 2009
- 2009
- [j4]Hendrik Kayser, Stephan Dieter Ewert, Jörn Anemüller, Thomas Rohdenburg, Volker Hohmann, Birger Kollmeier:
Database of Multichannel In-Ear and Behind-the-Ear Head-Related and Binaural Room Impulse Responses. EURASIP J. Adv. Signal Process. 2009 (2009) - 2008
- [c9]Jörn Anemüller, Jörg-Hendrik Bach, Barbara Caputo, Michal Havlena, Jie Luo, Hendrik Kayser, Bastian Leibe, Petr Motlícek, Tomás Pajdla, Misha Pavel, Akihiko Torii, Luc Van Gool, Alon Zweig, Hynek Hermansky:
The DIRAC AWEAR audio-visual platform for detection of unexpected and incongruent events. ICMI 2008: 289-292 - [c8]Jie Luo, Barbara Caputo, Alon Zweig, Jörg-Hendrik Bach, Jörn Anemüller:
Object Category Detection Using Audio-Visual Cues. ICVS 2008: 539-548 - [c7]Max F. K. Happel, Simon Müller, Jörn Anemüller, Frank W. Ohl:
Predictability of STRFs in auditory cortex neurons depends on stimulus class. INTERSPEECH 2008: 670 - [c6]Jörn Anemüller, Denny Schmidt, Jörg-Hendrik Bach:
Detection of speech embedded in real acoustic background based on amplitude modulation spectrogram features. INTERSPEECH 2008: 2582-2585 - 2007
- [c5]Jörn Anemüller:
Maximization of Component Disjointness: A Criterion for Blind Source Separation. ICA 2007: 325-332 - 2006
- [j3]Jörn Anemüller, Jeng-Ren Duann, Terrence J. Sejnowski, Scott Makeig:
Spatio-temporal dynamics in fMRI recordings revealed with complex independent component analysis. Neurocomputing 69(13-15): 1502-1512 (2006) - [c4]Jörn Anemüller:
Second-Order Separation of Multidimensional Sources with Constrained Mixing System. ICA 2006: 16-23 - 2005
- [c3]Thorsten Wesker, Bernd T. Meyer, Kirsten Wagener, Jörn Anemüller, Alfred Mertins, Birger Kollmeier:
Oldenburg logatome speech corpus (OLLO) for speech recognition experiments with humans and machines. INTERSPEECH 2005: 1273-1276 - 2004
- [c2]Jörn Anemüller, Terrence J. Sejnowski, Scott Makeig:
Reliable Measurement of Cortical Flow Patterns Using Complex Independent Component Analysis of Electroencephalographic Signals. ICA 2004: 1009-1016 - [c1]Jörn Anemüller, Jeng-Ren Duann, Terrence J. Sejnowski, Scott Makeig:
Unraveling Spatio-temporal Dynamics in fMRI Recordings Using Complex ICA. ICA 2004: 1103-1110 - 2003
- [j2]Jörn Anemüller, Terrence J. Sejnowski, Scott Makeig:
Complex independent component analysis of frequency-domain electroencephalographic data. Neural Networks 16(9): 1311-1323 (2003) - [j1]Jörn Anemüller, Birger Kollmeier:
Adaptive separation of acoustic sources for anechoic conditions: A constrained frequency domain approach. Speech Commun. 39(1-2): 79-95 (2003) - [i1]Jörn Anemüller, Terrence J. Sejnowski, Scott Makeig:
Complex Independent Component Analysis of Frequency-Domain Electroencephalographic Data. CoRR q-bio.QM/0310011 (2003)
Coauthor Index
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last updated on 2024-10-07 22:09 CEST by the dblp team
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