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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.
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https://hal-supelec.archives-ouvertes.fr/hal-01251622
Contributor : Remy Boyer <>
Submitted on : Wednesday, January 6, 2016 - 3:01:08 PM
Last modification on : Thursday, October 15, 2020 - 9:49:14 PM

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  • HAL Id : hal-01251622, version 1

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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⟩

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