A novel signal-dependent approach is followed here for modeling perceived distortions due to reverberation in audio signals. The method attempts to describe perceived monaural time-frequency and level distortions due to reverberation. A Computational Auditory Masking Model (CAMM) is employed, using as inputs the reverberant and reference (anechoic) signal, generating time-frequency maps of perceived distortions. From these maps and in a number of sub-bands, gain vs time functions are derived allowing suppression of reverberation in the processed signal.
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