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

Jiang G, Biswas A, Bergler C, Maier A (2021)

Publication Type: Conference contribution, Original article

Publication year: 2021

Conference Proceedings Title: Audio Engineering Society Convention 151

Event location: Las Vegas, Nevada, USA

Authors with CRIS profile

Christian Bergler Lehrstuhl für Informatik 5 (Mustererkennung) Andreas Maier Lehrstuhl für Informatik 5 (Mustererkennung)

Involved external institutions

Dolby International AB NL Netherlands (NL)

How to cite

APA:

Jiang, G., Biswas, A., Bergler, C., & Maier, A. (2021). InSE-NET: A Perceptually Coded Audio Quality Model based on CNN. In Audio Engineering Society Convention 151. Las Vegas, Nevada, USA.

MLA:

Jiang, Guanxin, et al. "InSE-NET: A Perceptually Coded Audio Quality Model based on CNN." Proceedings of the 151st Audio Engineering Society (AES) Convention, Las Vegas, Nevada, USA 2021.

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