In general terms my research investigates the following questions:
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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:
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