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Article Dans Une Revue Lecture Notes in Computer Science Année : 2014

Predicting Agreement and Disagreement in the Perception of Tempo

Résumé

In the absence of a music score, tempo can only be defined by its perception by users. Thus recent studies have focused on the estimation of perceptual tempo defined by listening experiments. So far, algorithms have only been proposed to estimate the tempo when people agree on it. In this paper, we study the case when people disagree on the perception of tempo and propose an algorithm to predict this disagreement. For this, we hypothesize that the perception of tempo is correlated to a set of variations of various viewpoints on the audio content: energy, harmony, spectral-balance variations and short-term-similarity-rate. We suppose that when those variations are coherent, a shared perception of tempo is favoured and when they are not, people may perceive different tempi. We then propose several statistical models to predict the agreement or disagreement in the perception of tempo from these audio features. Finally, we evaluate the models using a test-set resulting from the perceptual experiment performed at Last-FM in 2011.
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Dates et versions

hal-01252722 , version 1 (08-01-2016)

Identifiants

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Geoffroy Peeters, Ugo Marchand. Predicting Agreement and Disagreement in the Perception of Tempo. Lecture Notes in Computer Science, 2014, Sound, Music, and Motion, 10th International Symposium, CMMR 2013, Marseille, France, October 15-18, 2013. Revised Selected Papers (8905), p313-329. ⟨10.1007/978-3-319-12976-1_20⟩. ⟨hal-01252722⟩
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