AUTOMATED MUSIC SYNTHESIS WITH HYBRID MODELS OF KNOWLEDGE REPRESENTATION, AUTOMATIC REASONING AND DEEP MACHINE LEARNING



Ref.No: 68143200
Start date: 01.06.2020
End date: 30.11.2022
Approval date: 28.05.2020
Department: ELECTRICAL & COMPUTER ENGINEERING
Sector: COMPUTER SCIENCE
Financier: ΕΣΠΑ 2014-2020, YPOYRGEIO PAIDEIAS KAI THRHSKEYMATWN
Budget: 37.037,00 €
Public key: Ω9Ι846ΨΖΣ4-Σ5Ω
Scientific Responsible: Prof. STAMOU
Email: gstam@cs.ntua.gr
Description: THE PURPOSE OF THE PROJECT IS TO DEVELOP ORIGINAL DEEP LEARNING MODELS THAT USE SYMBOLIC KNOWLEDGE AND USER FEEDBACK AND APPLY THEM TO THE PROBLEM AUTOMATION SYNTHESIS. THE APPROACH WILL BE BASED
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