Jörn Anemüller
Jörn Anemüller
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Database of multichannel in-ear and behind-the-ear head-related and binaural room impulse responses
H Kayser, SD Ewert, J Anemüller, T Rohdenburg, V Hohmann, ...
EURASIP Journal on advances in signal processing 2009, 1-10, 2009
Complex independent component analysis of frequency-domain electroencephalographic data
J Anemüller, TJ Sejnowski, S Makeig
Neural networks 16 (9), 1311-1323, 2003
Amplitude modulation decorrelation for convolutive blind source separation
J Anemuller
ICA 2000, 215-220, 2000
Monitoring and representing complex signals
S Makeig, J Anemüller
US Patent 7,254,500, 2007
Oldenburg logatome speech corpus (OLLO) for speech recognition experiments with humans and machines.
T Wesker, BT Meyer, K Wagener, J Anemüller, A Mertins, B Kollmeier
Interspeech, 1273-1276, 2005
Automatic acoustic siren detection in traffic noise by part-based models
J Schröder, S Goetze, V Grützmacher, J Anemüller
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
Beyond novelty detection: Incongruent events, when general and specific classifiers disagree
D Weinshall, A Zweig, H Hermansky, S Kombrink, F Ohl, J Anemüller, ...
IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (10), 1886 …, 2012
Spectro-temporal Gabor filterbank features for acoustic event detection
J Schröder, S Goetze, J Anemüller
IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (12 …, 2015
Amplitude modulation spectrogram based features for robust speech recognition in noisy and reverberant environments
N Moritz, J Anemüller, B Kollmeier
2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011
An auditory inspired amplitude modulation filter bank for robust feature extraction in automatic speech recognition
N Moritz, J Anemüller, B Kollmeier
IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (11 …, 2015
A discriminative learning approach to probabilistic acoustic source localization
H Kayser, J Anemüller
2014 14th International Workshop on Acoustic Signal Enhancement (IWAENC), 99-103, 2014
On-line blind separation of moving sound sources
J Anemќller, T Gramss
ICA, 1998
Robust speech detection in real acoustic backgrounds with perceptually motivated features
JH Bach, J Anemüller, B Kollmeier
Speech Communication 53 (5), 690-706, 2011
Adaptive separation of acoustic sources for anechoic conditions: A constrained frequency domain approach
J Anemüller, B Kollmeier
Speech Communication 39 (1-2), 79-95, 2003
Spatio-temporal dynamics in fMRI recordings revealed with complex independent component analysis
J Anemüller, JR Duann, TJ Sejnowski, S Makeig
Neurocomputing 69 (13-15), 1502-1512, 2006
On the use of spectro-temporal features for the IEEE AASP challenge ‘detection and classification of acoustic scenes and events’
J Schröder, N Moritz, MR Schädler, B Cauchi, K Adiloglu, J Anemüller, ...
2013 IEEE Workshop on Applications of Signal Processing to Audio and …, 2013
Across-frequency processing in convolutive blind source separation
J Anemüller
Universität Oldenburg, 2001
Modulation-based detection of speech in real background noise: Generalization to novel background classes
JH Bach, B Kollmeier, J Anemüller
2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010
Complex spectral-domain independent component analysis of electroencephalographic data
J Anemuller, TJ Sejnowski, S Makeig
Proc. ICA Workshop, 2003
Front-end technologies for robust ASR in reverberant environments—spectral enhancement-based dereverberation and auditory modulation filterbank features
F Xiong, BT Meyer, N Moritz, R Rehr, J Anemüller, T Gerkmann, S Doclo, ...
EURASIP Journal on Advances in Signal Processing 2015, 1-18, 2015
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