Browsing Institutt for musikkvitenskap by Author "Simionato, Riccardo"

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  • Deep Learning Conditioned Modeling of Optical Compression 
    Simionato, Riccardo; Fasciani, Stefano (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2022)
    Deep learning models applied to raw audio are rapidly gaining relevance in modeling audio analog devices. This paper investigates the use of different deep architectures for modeling audio optical compression. The models ...
  • Fully Conditioned and Low-latency Black-box Modeling of Analog Compression 
    Simionato, Riccardo; Fasciani, Stefano (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2023)
    Neural networks have been found suitable for virtual analog modeling applications. Several analog audio effects have been successfully modeled with deep learning techniques, using low-latency and conditioned architectures ...
  • Transformer and LSTM Models for Automatic Counterpoint Generation using Raw Audio 
    Bentsen, Lars Ødegaard; Simionato, Riccardo; Wallace, Benedikte; Krzyzaniak, Michael Joseph (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2022)
    A study investigating Transformer and LSTM models applied to raw audio for automatic generation of counterpoint was conducted. In particular, the models learned to generate missing voices from an input melody, using a ...