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Speeding up machine hearing
DOI:10.1038/s42256-021-00317-y.png)
Abstract
En 中文
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.
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