1. Special Issue on Deep Learning for Applications in Acoustics: Modeling, Synthesis, and Listening.
- Author
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Gabrielli, Leonardo, Fazekas, György, and Nam, Juhan
- Subjects
ACOUSTICS ,GENERATIVE adversarial networks ,ARTIFICIAL neural networks ,DEEP learning ,COMPUTER vision ,MACHINE learning - Abstract
In the fields of audio analysis, processing and acoustic modelling, Deep Learning has been swiftly adopted, initially borrowing their methods from the image processing and computer vision field, and then finding creative and innovative solutions to suit domain-specific needs of acoustic research. In Navarro-Caceres et al. [[8]] the authors propose an assistive music composition system that is able to satisfy multiple criteria and find multiple candidates in chord sequence generation using an Artificial Immune System, a biologically inspired AI technique based on Genetic Programming for multi-objective optimisation. The generated chord progressions fit a desired tonal tension profile, taking for instance consonance or the melodic attraction of successive chords into account, thus aiding the composition process. [Extracted from the article]
- Published
- 2021
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