A perceptual measure for assessing and removing reverberation from audio signals

Thomas Zarouchas*, John Mourjopoulos, Panagiotis Hatziantoniou, Joerg Buchholz

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

2 Citations (Scopus)


A novel signal-dependent approach is followed here for modeling perceived distortions due to reverberation in audio signals. The method describes perceived monaural time-frequency and level distortions due to reverberation which depend on the reproduced signal's evolution. 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, suitable processing functions can be derived allowing suppression of reverberation in the processed signal.

Original languageEnglish
Title of host publicationAudio Engineering Society - 120th Convention Spring Preprints 2006
Place of PublicationNew York
PublisherAudio Engineering Society
Number of pages8
ISBN (Print)9781604235975
Publication statusPublished - 2006
Externally publishedYes
Event120th Convention Spring Preprints 2006 - Paris, France
Duration: 20 May 200623 May 2006


Other120th Convention Spring Preprints 2006


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