Title
CNN-based Learnable Gammatone Filterbank and Equal-loudness Normalization for Environmental Sound Classification
Abstract
For environmental sound classification (ESC), this letter presents a learnable auditory filterbank based on a one-dimensional (1D) convolutional neural network with strong psychophysiological inductive bias in the form of a gammatone filterbank and an equal-loudness prompting normalization. In the past, a number of ESC methods based on learnable auditory features obtained by performing plain 1D co...
Year
DOI
Venue
2020
10.1109/LSP.2020.2975422
IEEE Signal Processing Letters
Keywords
DocType
Volume
Time-frequency analysis,Convolution,Two dimensional displays,Kernel,Machine learning,Training data,Bandwidth
Journal
27
ISSN
Citations 
PageRank 
1070-9908
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Park, Hyunsin1112.69
Chang D. Yoo237545.88