. Deuxièmement, utilisation de modèles d'instruments peut aider à augmenter la performance d'extraction de sources par rapport aux méthodes aveugles exploitant uniquement les informations spatiales

. Dans-ce-cas, augmentation est d'autant plus significative que les informations spatiales sont difficiles à interpréter, comme c'est le cas dans les mélanges stéréo " AB étroits " . Par contre, la performance de nos algorithmes est semblable à celle des algorithmes aveugles basés sur une hypothèse de parcimonie en ce qui concerne la modification de scène sonore

L. 'inversion-est-alors-basée-sur-un-algorithme-itératif-exploitant-la-redondance, Les sous-bandes ( y f ) sont initialisées de sorte que y tf = y tf en chaque point (t, f ) À chaque itération , ces sous-bandes sont normalisées sur chaque trame de sorte que y tf = y tf , puis elles sont transformées en un signal y par l'équation B.9, puis ce signal est redécomposé en sous-bandes ( y f ) par l'équation B.3

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