Evaluation of Real-Time Aliasing Reduction Methods in Neural Networks for Nonlinear Audio Effects Modelling

IF 1.1 4区 工程技术 Q3 ACOUSTICS Journal of the Audio Engineering Society Pub Date : 2024-03-07 DOI:10.17743/jaes.2022.0122
Tara Vanhatalo, Pierrick Legrand, Myriam Desainte-Catherine, Pierre Hanna, G. Pille
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评估用于非线性音频效果建模的神经网络实时减少混叠方法
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来源期刊
Journal of the Audio Engineering Society
Journal of the Audio Engineering Society 工程技术-工程:综合
CiteScore
3.50
自引率
14.30%
发文量
53
审稿时长
1 months
期刊介绍: The Journal of the Audio Engineering Society — the official publication of the AES — is the only peer-reviewed journal devoted exclusively to audio technology. Published 10 times each year, it is available to all AES members and subscribers. The Journal contains state-of-the-art technical papers and engineering reports; feature articles covering timely topics; pre and post reports of AES conventions and other society activities; news from AES sections around the world; Standards and Education Committee work; membership news, patents, new products, and newsworthy developments in the field of audio.
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