Search Results - "Anemuller, Jorn"

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

“…Algorithms for the automatic detection and recognition of acoustic events are increasingly gaining relevance for the reliable and robust functioning of…”
Get full text

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

“…The human ability to classify acoustic sounds is still unmatched compared to recent methods in machine learning. Psychoacoustic and physiological studies…”
Get full text

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

“…This paper evaluates neural network (NN) based systems and compares them to Gaussian mixture model (GMM) and hidden Markov model (HMM) approaches for acoustic…”
Get full text

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

“…Inspired by physiological studies on the human auditory system and by results from psychoacoustics, an amplitude modulation filter bank (AMFB) has been…”
Get full text

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

“…Independent component analysis (ICA) has proven useful for modeling brain and electroencephalographic (EEG) data. Here, we present a new, generalized method to…”
Get full text

Classification of human cough signals using spectro-temporal Gabor filterbank features by Schroder, Jens, Anemuller, Jorn, Goetze, Stefan

“…This contribution investigates the use of features derived from a Gabor filterbank (GFB) for the application of acoustic cough classification. Gabor filters…”
Get full text

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

“…In this contribution we present a feature extraction method that relies on the modulation-spectral analysis of amplitude fluctuations within sub-bands of the…”
Get full text

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

“…Independent component analysis (ICA) of functional magnetic resonance imaging (fMRI) data is commonly carried out under the assumption that each source may be…”
Get full text

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

“…Robust detection of speech embedded in real acoustic background noise is considered using an approach based on subband amplitude modulation spectral (AMS)…”
Get full text

Towards speech enhancement using a variational U-Net architecture by Nustede, Eike J., Anemuller, Jorn

“…We investigate the viability of a variational U-Net architecture for denoising of single-channel audio data. Deep network speech enhancement systems commonly…”
Get full text

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

“…Blind source separation represents a signal processing technique with a large potential for noise reduction. However, its application in modern digital hearing…”
Get full text

Single-Channel Speech Enhancement with Deep Complex U-Networks and Probabilistic Latent Space Models by Nustede, Eike J., Anemuller, Jorn

“…In this paper, we propose to extend the deep, complex U-Network architecture for speech enhancement by incorporating a probabilistic (i.e., variational) latent…”
Get full text

Multi-channel signal enhancement with speech and noise covariance estimates computed by a probabilistic localization model by Anemuller, Jorn, Kayser, Hendrik

“…Classic approaches to multi-channel signal enhancement rely on model assumptions regarding speech source relative transfer functions and noise covariance…”
Get full text

Automatic acoustic siren detection in traffic noise by part-based models by Schroder, Jens, Goetze, Stefan, Grutzmacher, Volker, Anemuller, Jorn

“…State-of-the-art classifiers like hidden Markov models (HMMs) in combination with mel-frequency cepstral coefficients (MFCCs) are flexible in time but rigid in…”
Get full text

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

“…The investigation of abstract cognitive tasks, e.g., semantic processing of speech, requires the simultaneous use of a carefully selected stimulus design and…”
Get full text

Estimation of inter-channel phase differences using non-negative matrix factorization by Kayser, Hendrik, Anemuller, Jorn, Adiloglu, Kamil

“…Estimation of non-linearities in phase differences between two or more channels of an audio recording leads to a more precise spatial information in audio…”
Get full text

A discriminative learning approach to probabilistic acoustic source localization by Kayser, Hendrik, Anemuller, Jorn

“…Sound source localization algorithms commonly include assessment of inter-sensor (generalized) correlation functions to obtain direction-of-arrival estimates…”
Get full text

On the use of spectro-temporal features for the IEEE AASP challenge 'detection and classification of acoustic scenes and events' by Schroder, Jens, Moritz, Niko, Schadler, Marc Rene, Cauchi, Benjamin, Adiloglu, Kamil, Anemuller, Jorn, Doclo, Simon, Kollmeier, Birger, Goetze, Stefan

“…In this contribution, an acoustic event detection system based on spectro-temporal features and a two-layer hidden Markov model as back-end is proposed within…”
Get full text

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

“…This paper presents extended techniques aiming at the improvement of automatic speech recognition (ASR) in single-channel scenarios in the context of the…”
Get full text

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

“…Analysis of sensory neurons' processing characteristics requires simultaneous measurement of presented stimuli and concurrent spike responses. The functional…”
Get full text