8 citations · 10 across the 3 of their papers we have counts for
5 papers
Conditional Drums Generation using Compound Word Representations
Dimos Makris, Guo Zixun, Maximos Kaliakatsos-Papakostas +1
The field of automatic music composition has seen great progress in recent years, specifically with the invention of transformer-based architectures. When using any deep learning m…
Predicting emotion from music videos: exploring the relative contribution of visual and auditory information to affective responses
Phoebe Chua, Dimos Makris, Dorien Herremans +2
Although media content is increasingly produced, distributed, and consumed in multiple combinations of modalities, how individual modalities contribute to the perceived emotion of…
Generating Lead Sheets with Affect: A Novel Conditional seq2seq Framework
Dimos Makris, Kat R. Agres, Dorien Herremans
The field of automatic music composition has seen great progress in the last few years, much of which can be attributed to advances in deep neural networks. There are numerous stud…
Hierarchical Recurrent Neural Networks for Conditional Melody Generation with Long-term Structure
Zixun Guo, Makris Dimos, Herremans Dorien
The rise of deep learning technologies has quickly advanced many fields, including that of generative music systems. There exist a number of systems that allow for the generation o…
DeepDrum: An Adaptive Conditional Neural Network
Dimos Makris, Maximos Kaliakatsos-Papakostas, Katia Lida Kermanidis
Considering music as a sequence of events with multiple complex dependencies, the Long Short-Term Memory (LSTM) architecture has proven very efficient in learning and reproducing m…