Browsing Institutt for musikkvitenskap by Author "Fasciani, Stefano"

Now showing items 1-9 of 9

  • 20 NIMEs: Twenty Years of New Interfaces for Musical Expression 
    Fasciani, Stefano; Goode, Jackson (Chapter / Bokkapittel / PublishedVersion / PublishedVersion; Peer reviewed, 2021)
    This paper provides figures and metrics over twenty years of New Interfaces for Musical Expression conferences, which are derived by analyzing the publicly available paper proceedings. Besides presenting statistical ...
  • A Human-Agents Music Performance System in an Extended Reality Environment 
    Lucas Bravo, Pedro Pablo; Fasciani, Stefano (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2023)
    This paper proposes a human-machine interactive music system for live performances based on autonomous agents, implemented through immersive extended reality. The interaction between humans and agents is grounded in concepts ...
  • A Toolkit for the Analysis of the NIME Proceedings Archive 
    Fasciani, Stefano; Goode, Jackson Montgomery (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2022)
    This paper describes a toolkit for analyzing the NIME proceedings archive, which facilitates the bibliometric study of the conference papers and the identification of trends and patterns. The toolkit is implemented as a ...
  • 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 ...
  • Development of a Synthetic Database for Compact Neural Network Classification of Acoustic Scenes in Dementia Care Environments 
    Copiaco, Abigail; Ritz, Christian; Fasciani, Stefano; AbdulAziz, Nidhal (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2022)
    This paper focuses on automatic detection and classification of sounds occurring in dementia care facilities for monitoring a resident’s safety and wellbeing. While there has been significant advances the field of domestic ...
  • 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 ...
  • The Feedback Mop Cello: An Instrument for Interacting with Acoustic Feedback Loops 
    von Arnim, Hugh Alexander; Fasciani, Stefano; Erdem, Cagri (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2023)
    This paper presents the Feedback Mop Cello, an instrument integrating acoustic feedback loops generated through a microphone and loudspeaker in combination with a control interface inspired by the cello. Current paradigms ...
  • Towards a High-Performance Platform for Sonic Interaction Interfaces 
    Fasciani, Stefano; Vohra, Manohar (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
    In this paper we introduce a hardware platform to proto- type interfaces of demanding sonic interactive systems. We target applications featuring a large array of analog sensors requiring data acquisition and transmission ...
  • Towards Sound Innovation Engines Using Pattern-Producing Networks and Audio Graphs 
    Jónsson, Björn Thor; Erdem, Cagri; Fasciani, Stefano; Glette, Kyrre (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2024)