I am honored to announce the following special issue on the MDPI Applied Sciences Journal (IF: 2.217): "Deep Learning for Applications in Acoustics: Modeling, Synthesis and Listening".
Papers will be published as soon as they are accepted and they will be open access, allowing novel research work to reach a broad audience in a timely fashion.
Topics may include:
Applications of Deep Learning to sound synthesis
Control and estimation problems in physical modeling
Intelligent music production and novel digital audio effects
Representation learning and/or transfer of musical composition and performance characteristics including, timbre, style and playing technique
Analysis and modelling of acoustic phenomena including musical acoustics, speech signals, room acoustics, environmental, ecological, medical and machine sounds
Machine listening and perception models inspired by human hearing
Application of Deep Learning to wave propagation problems in fluids and solids
The call for papers will be open until April 25th 2020.
Dr. Leonardo Gabrielli
Dr. George Fazekas
Dr. Juhan Nam