Band-limited audio can be enhanced by artificially generating the missing spectral information even when there is no knowledge of the missing spectrum. The proposed algorithm analyzes multiple bands of the existing audio for their mutual information in order to estimate the most salient features of the missing components: gain, spectral envelope, and harmonicity. Objective and subjective tests show that the proposed algorithm is superior to existing schemes but with its harmonicity estimation module requiring high-computational cost due to high-order linear prediction filters.
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