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Perceptual Optimization of Audio Representations Based on Time-Frequency Masking Data for Maximally-Compact Stimuli
Many audio applications use time-frequency representations such as the Gabor and wavelet transforms. For such applications, it is often required that the signal representation matches human auditory perception and allows reconstruction. On that purpose, this paper presents the results of psychoacoustical experiment on auditory time-frequency masking using stimuli with maximal concentration in the time-frequency plane. These new data constitute a crucial basis for the prediction of auditory masking in the time-frequency representations of sound signals. An algorithm that removes the inaudible components in the wavelet transform of a sound while causing no audible difference to the original sound after re-synthesis is proposed. Preliminary results are promising, although further development is required.
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