7 citations · 11 across the 10 of their papers we have counts for
11 papers
Latent Space Disentanglement via Activation Steering for Interpretable Attribute Control in Symbolic Music Generation
Ioannis Prokopiou, Pantelis Vikatos, Maximos Kaliakatsos-Papakostas +2
Transformer-based architectures have significantly advanced the generation of complex symbolic sequences, yet a significant gap remains in achieving fine-grained, interpretable con…
Seconds-Aligned PCA-DAC Latent Diffusion for Symbolic-to-Audio Drum Rendering
Konstantinos Soiledis, Maximos Kaliakatsos Papakostas, Dimos Makris +1
Symbolic-control drum generation requires preserving explicit event timing and dynamics while synthesizing acoustically plausible waveforms. We present Sec2Drum-DAC, a conditional…
Drum Synthesis from Expressive Drum Grids via Neural Audio Codecs
Konstantinos Soiledis, Maximos Kaliakatsos-Papakostas, Dimos Makris +1
Generating realistic drum audio directly from symbolic representations is a challenging task at the intersection of music perception and machine learning. We propose a system that…
A Cold Diffusion Approach for Percussive Dereverberation
Dimos Makris, András Barják, Maximos Kaliakatsos-Papakostas
Most recent advances in audio dereverberation focus almost exclusively on speech, leaving percussive and drum signals largely unexplored despite their importance in music productio…
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…
A Dataset for Greek Traditional and Folk Music: Lyra
Charilaos Papaioannou, Ioannis Valiantzas, Theodoros Giannakopoulos +2
Studying under-represented music traditions under the MIR scope is crucial, not only for developing novel analysis tools, but also for unveiling musical functions that might prove…
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…
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…
An Argument-based Creative Assistant for Harmonic Blending
Maximos Kaliakatsos-Papakostas, Roberto Confalonieri, Joseph Corneli +2
Conceptual blending is a powerful tool for computational creativity where, for example, the properties of two harmonic spaces may be combined in a consistent manner to produce a no…