T. Rohdenburg, V. Hohmann, R. Huber, B. Kollmeier
For several modern signal-processing schemes for hearing aids (e.g. single- or multi-channel noise reduction schemes, dynamic compression, dereverberation) technical measures are used during the...
H. Kayser, S. D. Ewert, J. Anemüller, T. Rohdenburg, V. Hohmann, B. Kollmeier
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-channel...
H. Kayser, S. D. Ewert, J. Anemüller, T. Rohdenburg, V. Hohmann, B. Kollmeier
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-channel...
Characterising the individual ear by the "Auditory Profile" (2008)
Dreschler, W.A., Van Esch, T.E., Larsby, B., Hallgren, M., Lutman, M.E., Lyzenga, J., ...
This paper describes a new approach to auditory diagnostics, which is one of the central themes of the EU-project HEARCOM. For this purpose we defined a so-called "Auditory Profile" that can be...
Auditory-Based Feature Extraction for Robust Speech Recognition in Noisy Environment (2007)
J. Tchorz, T. Dau, B. Kollmeier
This paper presents a model of the "effective" signal processing in the auditory periphery, which was originally developed for describing human performance in typical spectral and temporal...
Linear Phase Filtering of Early Auditory Evoked Potentials (2007)
Granzow Riedel, H. Riedel, B. Kollmeier, Ag Medizinische Physik
One of the major experimental obstacles to unambiguous interpretation of early auditory evoked potentials is the usually poor signal-tonoise ratio of the averaged data. For responses to stimuli well...
J. Tchorz, K. Kasper, H. Reininger, B. Kollmeier
The combination of a model of auditory perception (PEMO) as feature extractor and of a Locally Recurrent Neural Network (LRNN) as classifier yields promising ASR results in noise. Our study focuses...
M. Brucke, W. Nebel, Vlsi Group, A. Schwarz, B. Mertsching, M. Hansen, ...
A digital VLSI implementation of a psychoacoustically and psysiologically motivated preprocessing algorithm is introduced. The algorithm consists of several stages motivated by the signal processing...