1 citations · 5 across the 22 of their papers we have counts for
7 papers · 2 filters
Language Models for Music Medicine Generation
Emmanouil Nikolakakis, Joann Ching, Emmanouil Karystinaios +3
Music therapy has been shown in recent years to provide multiple health benefits related to emotional wellness. In turn, maintaining a healthy emotional state has proven to be effe…
Quantifying the Corpus Bias Problem in Automatic Music Transcription Systems
Lukáš Samuel Marták, Patricia Hu, Gerhard Widmer
Automatic Music Transcription (AMT) is the task of recognizing notes in audio recordings of music. The State-of-the-Art (SotA) benchmarks have been dominated by deep learning syste…
Beat this! Accurate beat tracking without DBN postprocessing
Francesco Foscarin, Jan Schlüter, Gerhard Widmer
We propose a system for tracking beats and downbeats with two objectives: generality across a diverse music range, and high accuracy. We achieve generality by training on multiple…
GraphMuse: A Library for Symbolic Music Graph Processing
Emmanouil Karystinaios, Gerhard Widmer
Graph Neural Networks (GNNs) have recently gained traction in symbolic music tasks, yet a lack of a unified framework impedes progress. Addressing this gap, we present GraphMuse, a…
Towards Musically Informed Evaluation of Piano Transcription Models
Patricia Hu, Lukáš Samuel Marták, Carlos Cancino-Chacón +1
Automatic piano transcription models are typically evaluated using simple frame- or note-wise information retrieval (IR) metrics. Such benchmark metrics do not provide insights int…
SMUG-Explain: A Framework for Symbolic Music Graph Explanations
Emmanouil Karystinaios, Francesco Foscarin, Gerhard Widmer
In this work, we present Score MUsic Graph (SMUG)-Explain, a framework for generating and visualizing explanations of graph neural networks applied to arbitrary prediction tasks on…
Perception-Inspired Graph Convolution for Music Understanding Tasks
Emmanouil Karystinaios, Francesco Foscarin, Gerhard Widmer
We propose a new graph convolutional block, called MusGConv, specifically designed for the efficient processing of musical score data and motivated by general perceptual principles…