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E-library

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Discover journal articles, conference papers, standards, and technical resources from the AES E-Library, the leading collection of audio engineering knowledge.

Papers from 2022

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Showing 251–260 of 294

Conditioned Source Separation by Attentively Aggregating Frequency Transformations With Self-Conditioning

Open Access
Authors: Choi, Woosung; Jeong, Yeong-Seok; Kim, Jinsung; Chung, Jaehwa; Jung, Soonyoung; Reiss, Joshua D.
Affiliation: Department of Computer Science and Engineering, Korea University, Republic of Korea; Department of Computer Science and Engineering, Korea University, Republic of Korea; Department of Computer Science and Engineering, Korea University, Republic of Korea; Department of Computer Science, Korea National Open University, Republic of Korea; Department of Computer Science and Engineering, Korea University, Republic of Korea; Centre for Digital Music, Queen Mary University of London, London, UK
Publication Date: September 2022
Type: Journal Article
Cost: Open Access (Free to all)

Deep Audio Effects for Snare Drum Recording Transformations

Open Access
Authors: Cheshire, Matthew; Drysdale, Jake; Enderby, Sean; Tomczak, Maciej; Hockman, Jason
Affiliation: Sound and Music Analysis Group (SoMA), Digital Media Technology Lab (DMT Lab), School of Computing and Digital Technology, Birmingham City University, Birmingham, United Kingdom
Publication Date: September 2022
Type: Journal Article
Cost: Open Access (Free to all)

Word Embeddings for Automatic Equalization in Audio Mixing

Open Access
Authors: Venkatesh, Satvik; Moffat, David; Miranda, Eduardo Reck
Affiliation: Interdisciplinary Centre for Computer Music Research, University of Plymouth, Plymouth, UK; Plymouth Marine Laboratory, Plymouth, UK; Interdisciplinary Centre for Computer Music Research, University of Plymouth, Plymouth, UK
Publication Date: September 2022
Type: Journal Article
Cost: Open Access (Free to all)

The Fast Local Sparsity Method: A Low-Cost Combination of Time-Frequency Representations Based on the Hoyer Sparsity

Authors: da Costa, Maurício do V. M.; Biscainho, Luiz W. P.
Affiliation: Music Technology and Digital Musicology Lab, Institute for Musicology and Music Pedagogy, Osnabrück University, Osnabrück, Germany; Signal Multimedia and Telecommunications Laboratory, DEL/Poli & PEE/COPPE, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
Publication Date: September 2022
Type: Journal Article
Cost: Free to AES members & institutions and $33 to non-members