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[AUDITORY] CfP: Applied Sciences Special Issue on Deep Learning for Applications in Acoustics: Modeling, Synthesis, and Listening (deadline extended)



[apologies for the cross posting, please circulate widely]

Dear All,

I would like to announce that the deadline for the Special Issue entitled "Deep Learning for Applications in Acoustics: Modeling, Synthesis, and Listening" in the open-access journal MDPI Applied Sciences has been extended to Jun 30, 2020 given the unfortunate circumstances that may affect your research.
 
In this special issue, we welcome the submission of papers dealing with novel computational methods involving modeling, parametrization and knowledge extraction from acoustic data. The considered topics include, e.g.:

- 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 modeling 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


Again, the deadline for full manuscript submission is 30 June, 2020. Please, see the details at this link: https://www.mdpi.com/journal/applsci/special_issues/Machine_Learning_Acoustical_Problems

Kind regards,

Guest Editors

Dr. Leonardo Gabrielli, Department of Information Engineering, Università Politecnica delle Marche (UNIVPM), Italy
Dr. George Fazekas, Center for Digital Music (C4DM), Queen's Mary University, London, UK
Dr. Juhan Nam, Korea Advanced Institute of Science and Technology (KAIST), Korea