In general terms my research investigates the following questions:

  • Can an algorithm distinguish between the sounds of electric guitars of different: brands, models, price category, pick-up types, bridge types, body types?
  • Which features provide the best representation for solving this classification problem? Can they be learned using Deep Learning techniques?
  • Are Deep Neural Networks able to model and synthesise electric guitars with high quality?
  • Which Deep Neural Network architectures produce the best results?
  • Can the outcome of Deep Neural Network experiments of this research be used in audio coding applications for electric guitars? How?

Research Sections: