A Kalman Filter model for synchronization in musical ensembles

Fuente: arXiv
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Auteurs principaux: Carvalho, Hugo T., Li, Min S., di Luca, Massimiliano, Wing, Alan M.
Format: Preprint
Publié: 2024
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author Carvalho, Hugo T.
Li, Min S.
di Luca, Massimiliano
Wing, Alan M.
author_facet Carvalho, Hugo T.
Li, Min S.
di Luca, Massimiliano
Wing, Alan M.
contents The synchronization of motor responses to rhythmic auditory cues is a fundamental biological phenomenon observed across various species. While the importance of temporal alignment varies across different contexts, achieving precise temporal synchronization is a prominent goal in musical performances. Musicians often incorporate expressive timing variations, which require precise control over timing and synchronization, particularly in ensemble performance. This is crucial because both deliberate expressive nuances and accidental timing deviations can affect the overall timing of a performance. This discussion prompts the question of how musicians adjust their temporal dynamics to achieve synchronization within an ensemble. This paper introduces a novel feedback correction model based on the Kalman Filter, aimed at improving the understanding of interpersonal timing in ensemble music performances. The proposed model performs similarly to other linear correction models in the literature, with the advantage of low computational cost and good performance even in scenarios where the underlying tempo varies.
format Preprint
id arxiv_https___arxiv_org_abs_2411_05971
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A Kalman Filter model for synchronization in musical ensembles
Carvalho, Hugo T.
Li, Min S.
di Luca, Massimiliano
Wing, Alan M.
Audio and Speech Processing
The synchronization of motor responses to rhythmic auditory cues is a fundamental biological phenomenon observed across various species. While the importance of temporal alignment varies across different contexts, achieving precise temporal synchronization is a prominent goal in musical performances. Musicians often incorporate expressive timing variations, which require precise control over timing and synchronization, particularly in ensemble performance. This is crucial because both deliberate expressive nuances and accidental timing deviations can affect the overall timing of a performance. This discussion prompts the question of how musicians adjust their temporal dynamics to achieve synchronization within an ensemble. This paper introduces a novel feedback correction model based on the Kalman Filter, aimed at improving the understanding of interpersonal timing in ensemble music performances. The proposed model performs similarly to other linear correction models in the literature, with the advantage of low computational cost and good performance even in scenarios where the underlying tempo varies.
title A Kalman Filter model for synchronization in musical ensembles
topic Audio and Speech Processing
url https://arxiv.org/abs/2411.05971