A method for reconstructing a time/frequency tile of N audio objects, comprising the steps of: receiving M downmix signals; receiving a reconstruction matrix enabling reconstruction of an approximation of the N audio objects from the M downmix signals; applying the reconstruction matrix to the M downmix signals in order to generate N approximated audio objects; subjecting at least a subset of the N approximated audio objects to a decorrelation process in order to generate at least one decorrelated audio object, whereby each of the at least one decorrelated audio object corresponds to one of the N approximated audio objects; for each of the N approximated audio objects not having a corresponding decorrelated audio object, reconstructing the time/frequency tile of the audio object by the approximated audio object; and for each of the N approximated audio objects having a corresponding decorrelated audio object, reconstructing the time/frequency tile of the audio object by: receiving a single weighting parameter from which a first weighting factor and a second weighting factor are derivable, weighting the approximated audio object by the first weighting factor, weighting the decorrelated audio object corresponding to the approximated audio object by the second weighting factor, and combining, by performing a summation, the weighted approximated audio object with the corresponding weighted decorrelated audio object for reconstructing the time/frequency tile of the approximated audio object, characterized in that an energy level of the reconstructed time/frequency tile equals an energy level of a corresponding time/frequency tile of the approximated audio object. receiving M downmix signals; receiving a reconstruction matrix enabling reconstruction of an approximation of the N audio objects from the M downmix signals; applying the reconstruction matrix to the M downmix signals in order to generate N approximated audio objects; subjecting at least a subset of the N approximated audio objects to a decorrelation process in order to generate at least one decorrelated audio object, whereby each of the at least one decorrelated audio object corresponds to one of the N approximated audio objects; for each of the N approximated audio objects not having a corresponding decorrelated audio object, reconstructing the time/frequency tile of the audio object by the approximated audio object; and for each of the N approximated audio objects having a corresponding decorrelated audio object, reconstructing the time/frequency tile of the audio object by: receiving a single weighting parameter from which a first weighting factor and a second weighting factor are derivable, weighting the approximated audio object by the first weighting factor, weighting the decorrelated audio object corresponding to the approximated audio object by the second weighting factor, and combining, by performing a summation, the weighted approximated audio object with the corresponding weighted decorrelated audio object for reconstructing the time/frequency tile of the approximated audio object, characterized in that an energy level of the reconstructed time/frequency tile equals an energy level of a corresponding time/frequency tile of the approximated audio object. receiving a single weighting parameter from which a first weighting factor and a second weighting factor are derivable, weighting the approximated audio object by the first weighting factor, weighting the decorrelated audio object corresponding to the approximated audio object by the second weighting factor, and combining, by performing a summation, the weighted approximated audio object with the corresponding weighted decorrelated audio object for reconstructing the time/frequency tile of the approximated audio object, characterized in that an energy level of the reconstructed time/frequency tile equals an energy level of a corresponding time/frequency tile of the approximated audio object.