3 citations · 3 across the 3 of their papers we have counts for
6 papers · 1 filter
Sounding Out Reconstruction Error-Based Evaluation of Generative Models of Expressive Performance
Silvan David Peter, Carlos Eduardo Cancino-Chacón, Emmanouil Karystinaios +1
Generative models of expressive piano performance are usually assessed by comparing their predictions to a reference human performance. A generative algorithm is taken to be better…
8+8=4: Formalizing Time Units to Handle Symbolic Music Durations
Emmanouil Karystinaios, Francesco Foscarin, Florent Jacquemard +3
This paper focuses on the nominal durations of musical events (notes and rests) in a symbolic musical score, and on how to conveniently handle these in computer applications. We pr…
Roman Numeral Analysis with Graph Neural Networks: Onset-wise Predictions from Note-wise Features
Emmanouil Karystinaios, Gerhard Widmer
Roman Numeral analysis is the important task of identifying chords and their functional context in pieces of tonal music. This paper presents a new approach to automatic Roman Nume…
The ACCompanion: Combining Reactivity, Robustness, and Musical Expressivity in an Automatic Piano Accompanist
Carlos Cancino-Chacón, Silvan Peter, Patricia Hu +5
This paper introduces the ACCompanion, an expressive accompaniment system. Similarly to a musician who accompanies a soloist playing a given musical piece, our system can produce a…
Musical Voice Separation as Link Prediction: Modeling a Musical Perception Task as a Multi-Trajectory Tracking Problem
Emmanouil Karystinaios, Francesco Foscarin, Gerhard Widmer
This paper targets the perceptual task of separating the different interacting voices, i.e., monophonic melodic streams, in a polyphonic musical piece. We target symbolic music, wh…
Cadence Detection in Symbolic Classical Music using Graph Neural Networks
Emmanouil Karystinaios, Gerhard Widmer
Cadences are complex structures that have been driving music from the beginning of contrapuntal polyphony until today. Detecting such structures is vital for numerous MIR tasks suc…