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Database of Multichannel In-Ear and Behind-the-Ear Head-Related and Binaural Room Impulse Responses
An eight-channel database of head-related impulse responses (HRIRs) and binaural room impulse responses (BRIRs) is introduced. The impulse responses (IRs) were measured with three-channelExpand
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On the use of spectro-temporal features for the IEEE AASP challenge ‘detection and classification of acoustic scenes and events’
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 the framework of the IEEE AASP challengeExpand
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Complex Independent Component Analysis of Frequency-Domain Electroencephalographic Data
Independent component analysis (ICA) has proven useful for modeling brain and electroencephalographic (EEG) data. Here, we present a new, generalized method to better capture the dynamics of brainExpand
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Oldenburg logatome speech corpus (OLLO) for speech recognition experiments with humans and machines
This paper introduces the new OLdenburg LOgatome speech corpus (OLLO) and outlines design considerations during its creation. OLLO is distinct from previous ASR corpora as it specifically targets (1)Expand
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Amplitude modulation spectrogram based features for robust speech recognition in noisy and reverberant environments
In this contribution we present a feature extraction method that relies on the modulation-spectral analysis of amplitude fluctuations within sub-bands of the acoustic spectrum by a STFT. TheExpand
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Adaptive separation of acoustic sources for anechoic conditions: A constrained frequency domain approach
Blind source separation represents a signal processing technique with a large potential for noise reduction. However, its application in modern digital hearing aids poses high demands with respect toExpand
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Challenge on Detection and Classification of Acoustic Scenes and Events ACOUSTIC EVENT DETECTION USING SIGNAL ENHANCEMENT AND SPECTRO-TEMPORAL FEATURE EXTRACTION
In this paper, an acoustic event detection system is proposed. It consists of a noise reduction signal enhancement step based on the noise power spectral density estimator proposed in [1] and on theExpand
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Robust speech detection in real acoustic backgrounds with perceptually motivated features
The current study presents an analysis of the robustness of a speech detector in real background sounds. One of the most important aspects of automatic speech/nonspeech classification is robustnessExpand
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Temporal variability of spectro-temporal receptive fields in the anesthetized auditory cortex
Temporal variability of neuronal response characteristics during sensory stimulation is a ubiquitous phenomenon that may reflect processes such as stimulus-driven adaptation, top-down modulation orExpand
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