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InSE-NET: A Perceptually Coded Audio Quality Model based on CNN

Citation Author(s):
Guanxin Jiang, Arijit Biswas, Christian Bergler, Andreas Maier
Submitted by:
Arijit Biswas
Last updated:
20 October 2021 - 8:05am
Document Type:
Presentation Slides
Document Year:
2021
Presenters:
Guanxin Jiang

Abstract

This is a presentation of the paper (http://www.aes.org/e-lib/browse.cfm?elib=21478), presented virtually at the 151st Audio Engineering Society Convention (https://sched.co/mIhg).

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InSE-NET A Perceptually Coded Audio Quality Model based on CNN.pdf

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