A neural network model for cochlear mechanics and processing Universiteit Gent
A method and hearing device (100) for emulating cochlear processing of auditory stimuli are disclosed, in which a multilayer convolutional encoder-decoder neural network (10) sequentially compresses and then decompresses a time-domain input comprising a plurality of samples. At least one nonlinear unit for applying a nonlinear transformation is mimicking a level-dependent cochlear filter tuning associated with cochlear mechanics and outer hair cells. Other described modules cover inner-hair-cell and auditory-nerve fiber processing. A plurality of shortcut connections (15) is directly ...