[apologies for the cross posting, please circulate widely]
Dear All,
I would like to draw your attention on a Special Issue entitled "Deep Learning for Applications in Acoustics: Modeling, Synthesis, and Listening" to be published in the open-access journal MDPI Applied Sciences, see:
https://www.mdpi.com/journal/applsci/special_issues/Machine_Learning_Acoustical_Problems In this special issue, we welcome the submission of papers dealing with novel computational methods involving modelling, parametrisation 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 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 deadline for full manuscript submission is 15 April 2020 (an extension for at most 8 weeks can be offered if needed).
*Submission Guide*
Please visit the Instructions for Authors before submitting a manuscript:
http://www.mdpi.com/journal/applsci/instructions/.
Manuscripts should be submitted through the online manuscript submission and editorial system at
https://susy.mdpi.com/user/manuscripts/upload/69f0c3896eecc14bb638bb258b3cfd6c?form%5Bjournal_id%5D=90&form%5Bspecial_issue_id%5D=33459.
We are looking forward to receiving a positive reply from you soon.
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