Dynamic temporal segmentation in parametric non-stationary modeling for percussive musical signals

Abstract : An audio signal parametric modeling scheme is proposed that permits higher performance for representing strong sound transients. The exponentially damped sinusoids (EDS) model is considered in association with a high resolution parameter estimation approach. Such a technique is well adapted to almost every audio signal but is unfortunately not efficient when dealing with signals presenting strong temporal variations, such as percussive music signals, and causes pre-echo artifacts and weak onset dynamic reproduction which are prejudicial to listening. A system, based on the EDS model, has been developed with a transient detector and dynamic time segmentation and modeling that allows to overcome such artifacts.
Type de document :
Communication dans un congrès
IEEE International Conference on Multimedia and Expo (ICME), Aug 2002, Lausane, Switzerland
Liste complète des métadonnées

https://hal-supelec.archives-ouvertes.fr/hal-01251622
Contributeur : Remy Boyer <>
Soumis le : mercredi 6 janvier 2016 - 15:01:08
Dernière modification le : jeudi 5 avril 2018 - 12:30:05

Identifiants

  • HAL Id : hal-01251622, version 1

Citation

Remy Boyer, Slim Essid, Nicolas Moreau. Dynamic temporal segmentation in parametric non-stationary modeling for percussive musical signals. IEEE International Conference on Multimedia and Expo (ICME), Aug 2002, Lausane, Switzerland. 〈hal-01251622〉

Partager

Métriques

Consultations de la notice

197