October 8, 2019
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
Further information: https://www.mdpi.com/journal/applsci/special_issues/Machine_Learning_Acoustical_Problems
I'm busy working on my blog posts. Watch this space!
CIM Workshop Postponed to 2021
March 19, 2020
Edinburgh Seminar Postponed
March 16, 2020
VCV Rack - Book published!
February 17, 2020
The EAR is over
December 7, 2019
Computer Music Production & Sound Design
November 30, 2019
The Italian Synth Museum - 2nd Ed.
November 13, 2019
Upcoming conference with Di Giugno!
ICSC 2019 - unpacking
MDPI Special Issue on Deep Learning for Acoustics
Selected to join EAR 2019
August 28, 2019
March 2020 (2)
February 2020 (1)
December 2019 (1)
November 2019 (2)
October 2019 (3)
August 2019 (2)
June 2019 (2)
April 2019 (3)
(Research Fellow at the Dept. of Information Engineering, Università Politecnica delle Marche, Ancona, Italy)