iJazzARTIST: Intelligent Jazz Accompanist for Real-Time human-computer Interactive muSic improvisaTion ( B.Sc. Thesis )
iJazzARTIST: Intelligent Jazz Accompanist for Real-Time human-computer Interactive muSic improvisaTion.
Deep Learning techniques applied on music data for the implementation of automatic real-time jazz accompaniment system using LSTM neural network architecture.
Audio samples of generated accompaniment are also provided, along with the respective melody on which they were based as well as the original accompaniment.
Based on my internship in Athena Research & Innovation Center (ATHENA RC) and the project that was developed
( Team Members: Maximos Kaliakatsos-Papakostas, Kosmas Kritsis, Theatina Kylafi )
Kritsis, Kosmas, Theatina Kylafi, Maximos Kaliakatsos-Papakostas, Aggelos Pikrakis, and Vassilis Katsouros. “On the Adaptability of Recurrent Neural Networks for Real-Time Jazz Improvisation Accompaniment.” Frontiers in artificial intelligence 3 (2021): 508727.
A LaTeX2e document class ( dithesis.cls ) for writing ΒSc thesis in English for the Department of Informatics and Telecommunications ( DI&T ) of the National and Kapodistrian University of Athens ( NKUA )
2014, 2015 Charalampos S. Nikolaou
2017 Ergys Dona
2020 Christina-Theano Kylafi