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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

Special Issue on Deep Learning for Applications in Acoustics: Modeling, Synthesis, and Listening