Research Area

  • Title:
    Optimal Tuning of Real Audio Systems

  • Keywords:

    Deep Learning, Digital Audio Processing, Digital Music, Digital Filter Optimization, Sound Synthesis

  • Description:

    Real Audio Systems includes complex Digital Circuits for audio processing which are characterized by a large number of parameters which need to be tuned in order to work properly to face the specific task of interest. In most applicative contexts, the parameter setting phase is completely left to audio experts and the overall process can be really time consuming. The aim of the research consists in assisting those experts through an automatic approach by providing optimal parameters related to standard operating conditions, representing a useful starting point for the next fine-tuning phase. Artificial Neural Networks and modern Deep Learning strategies are adopted on purpose, with a large variety of applications ranging from quality enhancement in sound reproduction systems to acoustic physical model parameters estimation in digital music instruments.

  • Laboratory:

    Steinberg LoLa Studio Lab

  • Contact Person:

    Stefano Squartini

  • Collaborations:

    ASK Industries, Viscount International

  • Projects:
    Private funding of PhD and PostDoc Research Fellowships