Ai-based affective music generation systems: A review of methods and challenges

A Dash, K Agres - ACM Computing Surveys, 2024 - dl.acm.org
Music is a powerful medium for altering the emotional state of the listener. In recent years,
with significant advancements in computing capabilities, artificial intelligence-based (AI …

Bodily maps of musical sensations across cultures

V Putkinen, X Zhou, X Gan, L Yang… - Proceedings of the …, 2024 - National Acad Sciences
Emotions, bodily sensations and movement are integral parts of musical experiences. Yet, it
remains unknown i) whether emotional connotations and structural features of music elicit …

Music emotion recognition: Toward new, robust standards in personalized and context-sensitive applications

JS Gómez-Cañón, E Cano, T Eerola… - IEEE Signal …, 2021 - ieeexplore.ieee.org
Emotion is one of the main reasons why people engage and interact with music. Songs can
express our inner feelings, produce goosebumps, bring us to tears, share an emotional state …

Cross-and Context-Aware Attention Based Spatial-Temporal Graph Convolutional Networks for Human Mobility Prediction

Z Mo, H Xiang, X Di - ACM Transactions on Spatial Algorithms and …, 2024 - dl.acm.org
The COVID-19 pandemic has dramatically transformed human mobility patterns. Therefore,
human mobility prediction for the “new normal” is crucial to infrastructure redesign …

Synchrony in the periphery: inter-subject correlation of physiological responses during live music concerts

A Czepiel, LK Fink, LT Fink, M Wald-Fuhrmann… - Scientific reports, 2021 - nature.com
While there is an increasing shift in cognitive science to study perception of naturalistic
stimuli, this study extends this goal to naturalistic contexts by assessing physiological …

TROMPA-MER: an open dataset for personalized Music Emotion Recognition

JS Gómez-Cañón, N Gutiérrez-Páez, L Porcaro… - Journal of Intelligent …, 2023 - Springer
We present a platform and a dataset to help research on Music Emotion Recognition (MER).
We developed the Music Enthusiasts platform aiming to improve the gathering and analysis …

Decoding emotions in expressive music performances: A multi-lab replication and extension study

J Akkermans, R Schapiro, D Müllensiefen… - Cognition and …, 2019 - Taylor & Francis
With over 560 citations reported on Google Scholar by April 2018, a publication by Juslin
and Gabrielsson (1996) presented evidence supporting performers' abilities to …

Marble melancholy: using crossmodal correspondences of shapes, materials, and music to predict music-induced emotions

B Mesz, S Tedesco, F Reinoso-Carvalho… - Frontiers in …, 2023 - frontiersin.org
Introduction Music is known to elicit strong emotions in listeners, and, if primed
appropriately, can give rise to specific and observable crossmodal correspondences. This …

The aesthetic experience of live concerts: Self-reports and psychophysiology.

J Merrill, A Czepiel, LT Fink, J Toelle… - … , Creativity, and the …, 2023 - psycnet.apa.org
Music listening can lead to strong aesthetic experiences. However, to gain deeper insights
into such experiences, more empirical research outside of laboratory settings is required …

Examining emotion perception agreement in live music performance

S Yang, CN Reed, E Chew… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Current music emotion recognition (MER) systems rely on emotion data averaged across
listeners and over time to infer the emotion expressed by a musical piece, often neglecting …