Expectancy-based rhythmic entrainment as continuous Bayesian inference

J Cannon - PLoS Computational Biology, 2021 - journals.plos.org
When presented with complex rhythmic auditory stimuli, humans are able to track underlying
temporal structure (eg, a “beat”), both covertly and with their movements. This capacity goes …

Cognitive processing of rhythm in primary education: encounters between teaching practice and scientific evidence

J Álamos-Gómez, J Tejada, F Farías - Music Education Research, 2023 - Taylor & Francis
This paper explores how Chilean teachers approach fundamental aspects of rhythm,
verifying their consistency with cognitive processing theory and findings. 203 music teachers …

Dynamic Time Signature Recognition, Tempo Inference, and Beat Tracking through the Metrogram Transform

JM Cozens, SJ Godsill - IEEE Open Journal of Signal …, 2023 - ieeexplore.ieee.org
This paper proposes a probabilistic approach for extracting time-varying and irregular time
signature information from polyphonic audio extracts, subsequently providing beat and bar …

Self-powered piezoelectric player-interactive patch for guitar learning assistance

Y Lei, ZH Long, S Liang, TY Zhong, LL **ng… - Science China …, 2022 - Springer
Device-assisted practice for instrument learning has been widely used by professional and
amateur musicians to improve their learning efficiency. This study fabricates a novel self …

[HTML][HTML] Feeling the Beat: Temporal Predictability is Associated with Ongoing Changes in Music-Induced Pleasantness

N Singer, N Jacoby, T Hendler, R Granot - Journal of Cognition, 2023 - ncbi.nlm.nih.gov
Music is a complex phenomenon that elicits a range of emotional responses, influenced by
numerous variables, such as rhythm, melody and harmony. One interesting aspect of music …

[PDF][PDF] Pulse clarity metrics developed from a deep learning beat tracking model.

N Pironio, DF Slezak, M Miguel - ISMIR, 2021 - archives.ismir.net
In this paper we present novel pulse clarity metrics based on different sections of a state-of-
the-art beat tracking model. Said model consists of two sections: a recurrent neural network …

[PDF][PDF] Modeling beat uncertainty as a 2D distribution of period and phase: a MIR task proposal.

M Miguel, DF Slezak, B Aires - ISMIR, 2021 - archives.ismir.net
This work proposes modeling the beat percept as a 2d probability distribution and its
inference from musical stimulus as a new MIR task. We present a methodology for collecting …

Adult Professional Musicians Who Benefit from Playing Instrumental Music: An Overview of the Creative Process

R Climacosa - 2023 - search.proquest.com
The creative process of playing instrumental music can benefit adult professional musicians,
and this topic was the focus of the qualitative research study. There is a gap in the literature …

[PDF][PDF] Modelling Canonical Computations in Brains and Machines with the Free Energy Principle

A Ofner, S Stober, CL Buckley, A Flexer - 2023 - d-nb.info
ABSTRACT The Free Energy Principle in neuroscience explains brain function based on the
minimization of Bayesian surprise. Under mathematical constrains on the underlying …

[PDF][PDF] Inferencia de estructuras y patrones temporales para el modelado de la expectativa, certeza y ambigüedad en el pulso musical

MA Miguel - 2022 - bibliotecadigital.exactas.uba.ar
Este trabajo presenta modelos computacionales y metodologías experimentales para el
análisis, predicción y recolección de información en relación a la ambigüedad del pulso …