Computational models that capture the nonlinear processing of the inner ear have been prohibitively slow to use for most machine-hearing systems. A convolutional neural network model replicates hallmark features of cochlear signal processing, potentially enabling real-time applications.
Authors
Carney LH
Journal
Nature Machine Intelligence, Vol. 3, No. 3, pp. 190–191