A Heuristic Algorithm for DJ Cue Point Estimation - Archive ouverte HAL
Communication Dans Un Congrès Année : 2018

A Heuristic Algorithm for DJ Cue Point Estimation

Diemo Schwarz
Daniel Artur Schindler
  • Fonction : Auteur
  • PersonId : 1035633
Severino Spadavecchia
  • Fonction : Auteur
  • PersonId : 1035634

Résumé

This article treats an aspect in a larger research agenda to understand DJ practices, which are an important part of popular music culture: We present a heuristic algorithm that estimates cue points where tracks should cross-fade in a DJ mix. We deduced statistics and heuristics from a list of rules provided by human experts, and from a database of example tracks with given cue regions. We then created an algorithm for cue-point estimation based on rich automatic annotations by state of the art MIR methods, such as music structure segmentation and beat tracking. The results were evaluated quantitatively on the example database and qualitatively by experts.
Fichier principal
Vignette du fichier
schwarz-smc2018-cuepoints.pdf (776.09 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01857834 , version 1 (17-08-2018)

Identifiants

  • HAL Id : hal-01857834 , version 1

Citer

Diemo Schwarz, Daniel Artur Schindler, Severino Spadavecchia. A Heuristic Algorithm for DJ Cue Point Estimation. Sound and Music Computing, Jul 2018, Limassol, Cyprus. ⟨hal-01857834⟩
412 Consultations
659 Téléchargements

Partager

More