Improving Perceptual Tempo Estimation with Crowd-Sourced Annotations

  title={Improving Perceptual Tempo Estimation with Crowd-Sourced Annotations},
  author={Mark Levy},
We report the design and results of a web-based experiment intended to support the development and evaluation of tempo estimation algorithms, in which users tap to music and select descriptive labels. Analysis of the tapping data and labels chosen shows that, while different listeners frequently entrain to different metrical levels for some pieces, they rarely disagree about which pieces are fast and which are slow. We show how this result can be used to improve both the evaluation metrics used… CONTINUE READING
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