Acoustic Scene Classification With Squeeze-Excitation Residual Networks

Acoustic Scene Classification With Squeeze-Excitation Residual Networks

Acoustic scene classification (ASC) is a problem related to the field of machine listening whose objective is to classify/tag an audio clip in a predefined label describing a scene location (e. g. park, airport, etc.). Many state-of-the-art solutions to ASC incorporate data augmentation techniques a...

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Bibliographic Details
Main Authors: Javier Naranjo-Alcazar, Sergi Perez-Castanos, Pedro Zuccarello, Maximo Cobos
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Acoustic scene classification
deep learning
machine listening
pattern recognition
squeeze-excitation
Online Access:https://ieeexplore.ieee.org/document/9118879/

Internet

https://ieeexplore.ieee.org/document/9118879/

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