Jörn Anemüller
Jörn Anemüller
Verified email at uni-oldenburg.de
TitleCited byYear
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), 298605, 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 Anemüller, B Kollmeier
Proc. ICA, 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, B Meyer, K Wagener, J Anemüller, A Mertins, B Kollmeier
Ninth European Conference on Speech Communication and Technology, 2005
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
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
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
On-line blind separation of moving sound sources
J Anemüller, T Gramss
Proceedings of the first international workshop on independent component …, 1999
AC Sundancer™ poplar
W Schroeder, R Soolanayakanahally, C Lindquist
Canadian journal of plant science 93 (6), 1285-1287, 2013
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
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
Robust speech detection in real acoustic backgrounds with perceptually motivated features
JH Bach, J Anemüller, B Kollmeier
Speech Communication 53 (5), 690-706, 2011
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
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
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. Int. Conf. on ICA and BSS, 2003
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
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