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Communication Dans Un Congrès Année : 2005

Onset Detection in Polyphonic Signals by means of Transient Peak Classification

Axel Roebel

Résumé

This article describes an onset detection algorithm that is based on a classification of spectral peaks into transient and non-transient peaks and a statistical model of the classification results to prevent detection of random transient peaks due to noise. A special feature of the proposed algorithm is that it is suitable for real time analysis with a maximum delay of only an 8-th part of the analysis window.
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Dates et versions

hal-01161339 , version 1 (08-06-2015)

Identifiants

  • HAL Id : hal-01161339 , version 1

Citer

Axel Roebel. Onset Detection in Polyphonic Signals by means of Transient Peak Classification. MIREX Online Proceedings (ISMIR 2005), Sep 2005, London, United Kingdom. pp.1-1. ⟨hal-01161339⟩
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