8 citations · 14 across the 7 of their papers we have counts for
8 papers
Pay (Cross) Attention to the Melody: Curriculum Masking for Single-Encoder Melodic Harmonization
Maximos Kaliakatsos-Papakostas, Dimos Makris, Konstantinos Soiledis +3
Melodic harmonization, the task of generating harmonic accompaniments for a given melody, remains a central challenge in computational music generation. Recent single encoder trans…
Incorporating Structure and Chord Constraints in Symbolic Transformer-based Melodic Harmonization
Maximos Kaliakatsos-Papakostas, Konstantinos Soiledis, Theodoros Tsamis +3
Transformer architectures offer significant advantages regarding the generation of symbolic music; their capabilities for incorporating user preferences toward what they generate i…
A Machine Learning Approach for MIDI to Guitar Tablature Conversion
Maximos Kaliakatsos-Papakostas, Gregoris Bastas, Dimos Makris +3
Guitar tablature transcription consists in deducing the string and the fret number on which each note should be played to reproduce the actual musical part. This assignment should…
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…