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

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Citation Author(s):
Guanxin Jiang, Arijit Biswas, Christian Bergler, Andreas Maier
Submitted by:
Arijit Biswas
Last updated:
5 October 2021 - 4:13am
Document Type:
Presentation Slides
Document Year:
2021
Presenters Name:
Guanxin Jiang

Abstract 

Abstract: 

This is a presentation of the paper, 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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