Spectro-Temporal Gabor Filterbank Features for Acoustic Event Detection von Schroder, Jens, Goetze, Stefan, Anemuller, Jorn

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An Auditory Inspired Amplitude Modulation Filter Bank for Robust Feature Extraction in Automatic Speech Recognition von Moritz, Niko, Anemuller, Jorn, Kollmeier, Birger

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Integration of Optimized Modulation Filter Sets Into Deep Neural Networks for Automatic Speech Recognition von Moritz, Niko, Kollmeier, Birger, Anemuller, Jorn

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Classifier Architectures for Acoustic Scenes and Events: Implications for DNNs, TDNNs, and Perceptual Features from DCASE 2016 von Schröder, Jens, Moritz, Niko, Anemüller, Jörn, Goetze, Stefan, Kollmeier, Birger

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Complex independent component analysis of frequency-domain electroencephalographic data von Anemüller, Jörn, Sejnowski, Terrence J., Makeig, Scott

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Amplitude modulation spectrogram based features for robust speech recognition in noisy and reverberant environments von Moritz, Niko, Anemuller, Jorn, Kollmeier, Birger

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Spatio-temporal dynamics in fMRI recordings revealed with complex independent component analysis von Anemüller, Jörn, Duann, Jeng-Ren, Sejnowski, Terrence J., Makeig, Scott

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Modulation-based detection of speech in real background noise: Generalization to novel background classes von Bach, Jorg-Hendrik, Kollmeier, Birger, Anemüller, Jörn

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Adaptive separation of acoustic sources for anechoic conditions: A constrained frequency domain approach von Anemüller, Jörn, Kollmeier, Birger

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Searchlight Classification Informative Region Mixture Model (SCIM): Identification of Cortical Regions Showing Discriminable BOLD Patterns in Event-Related Auditory fMRI Data von Urbschat, Annika, Uppenkamp, Stefan, Anemueller, Joern

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Cluster-based analysis improves predictive validity of spike-triggered receptive field estimates von Bigelow, James, Malone, Brian J

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Front-end technologies for robust ASR in reverberant environments—spectral enhancement-based dereverberation and auditory modulation filterbank features von Xiong, Feifei, Meyer, Bernd T., Moritz, Niko, Rehr, Robert, Anemüller, Jörn, Gerkmann, Timo, Doclo, Simon, Goetze, Stefan

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Beyond Novelty Detection: Incongruent Events, When General and Specific Classifiers Disagree von Weinshall, Daphna, Zweig, Alon, Hermansky, Hynek, Kombrink, Stefan, Ohl, Frank W., Anemüller, Jörn, Bach, Jörg-Hendrik, Van Gool, Luc, Nater, Fabian, Pajdla, Tomas, Havlena, Michal, Pavel, Misha

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Discriminative learning of receptive fields from responses to non-Gaussian stimulus ensembles von Meyer, Arne F, Diepenbrock, Jan-Philipp, Happel, Max F K, Ohl, Frank W, Anemüller, Jörn

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Automatic classification of audio data using nonlinear neural response models von Bach, J., Meyer, A., McElfresh, D., Anemuller, J.

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On the Generalization Ability of Complex-Valued Variational U-Networks for Single-Channel Speech Enhancement von Nustede, Eike J., Anemueller, Joern

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Evaluation and comparison of different machine learning approaches to auditory spectro-temporal receptive field estimation von Meyer, Arne F, Diepenbrock, Jan P, Ohl, Frank W, Anemüller, Jörn

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Multi-Channel Speech Enhancement and Amplitude Modulation Analysis for Noise Robust Automatic Speech Recognition von Moritz, Niko, Adiloğlu, Kamil, Anemüller, Jörn, Goetze, Stefan, Kollmeier, Birger

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Second-Order Separation of Multidimensional Sources with Constrained Mixing System von Anemüller, Jörn

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Estimation of spectro-temporal receptive fields based on linear support vector machine classification von Meyer, Arne F, Happel, Max FK, Ohl, Frank W, Anemüller, Jörn

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