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Modal Synthesis of Weapon Sounds

Authors: Mengual, Lucas; Moffat, David; Reiss, Joshua D.
Affiliation: Queen Mary University of London, London, UK
Publication Date: February 2016
Type: Conference Paper
Cost: Free to AES members & institutions and $33 to non-members

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)

Semantic Music Production: A Meta-Study

Open Access
Authors: Moffat, David; De Man, Brecht; Reiss, Joshua D.
Affiliation: Plymouth Marine Laboratory, Plymouth, UK; PXL-Music, PXL University of Applied Sciences and Arts, Hasselt, Belgium; Centre for Digital Music, Queen Mary University of London, London, UK
Publication Date: July 2022
Type: Journal Article
Cost: Open Access (Free to all)

A Deep Learning Approach to Intelligent Drum Mixing With the Wave-U-Net

Authors: Martínez Ramírez, Marco A.; Stoller, Daniel; Moffat, David
Affiliation: Centre for Digital Music, Queen Mary University of London, London, United Kingdom; Centre for Digital Music, Queen Mary University of London, London, United Kingdom; Interdisciplinary Center for Computer Music Research, University of Plymouth, Plymouth, United Kingdom
Publication Date: March 2021
Type: Journal Article
Cost: Free to AES members & institutions and $33 to non-members

Context-Aware Intelligent Mixing Systems

Open Access
Authors: Lefford, M. Nyssim; Bromham, Gary; Fazekas, György; Moffat, David
Affiliation: Luleå University of Technology, Sweden; Queen Mary University of London, London, United Kingdom; Queen Mary University of London, London, United Kingdom; University of Plymouth, Plymouth, United Kingdom
Publication Date: March 2021
Type: Journal Article
Cost: Open Access (Free to all)