Enhancing the Tracking of Partials for the Sinusoidal Modeling of Polyphonic Sounds
| Autor: | Jean-Bernard Rault, Mathieu Lagrange, Sylvain Marchand |
|---|---|
| Přispěvatelé: | Laboratoire Bordelais de Recherche en Informatique (LaBRI), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB), France Télécom Recherche & Développement (FT R&D), France Télécom, Marchand, Sylvain |
| Jazyk: | angličtina |
| Rok vydání: | 2007 |
| Předmět: |
Audio signal
Acoustics and Ultrasonics Computer science Signal reconstruction Acoustics [INFO.INFO-OH]Computer Science [cs]/Other [cs.OH] 020206 networking & telecommunications Linear prediction Sinusoidal model 02 engineering and technology Musical tone computer.software_genre Time–frequency analysis [INFO.INFO-OH] Computer Science [cs]/Other [cs.OH] Maxima and minima 030507 speech-language pathology & audiology 03 medical and health sciences Computer Science::Sound 0202 electrical engineering electronic engineering information engineering ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS Electrical and Electronic Engineering 0305 other medical science Audio signal processing computer ComputingMilieux_MISCELLANEOUS |
| Zdroj: | IEEE Transactions on Audio, Speech and Language Processing IEEE Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2007, 15, pp.1625--1634 |
| ISSN: | 1558-7916 |
| Popis: | This paper addresses the problem of tracking partials, i.e., determining the evolution over time of the parameters of a given number of sinusoids with respect to the analyzed audio stream. We first show that the minimal frequency difference heuristic generally used to identify continuities between local maxima of successive short-time spectra can be successfully generalized using the linear prediction formalism to handle modulated sounds such as musical tones with vibrato. The spectral properties of the evolutions in time of the parameters of the partials are next studied to ensure that the parameters of the partials effectively satisfy the slow time-varying constraint of the sinusoidal model. These two improvements are combined in a new algorithm designed for the sinusoidal modeling of polyphonic sounds. The comparative tests show that onsets/offsets of sinusoids as well as closely spaced sinusoids are better identified and stochastic components are better avoided. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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