A perceptual measure for assessing and removing reverberation from audio signals

Thomas Zarouchas; John Mourjopoulos; Panagiotis Hatziantoniou; Joerg Buchholz

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 proceeding › Conference proceeding contribution › peer-review

4 Citations (Scopus)

Abstract

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 language	English
Title of host publication	Audio Engineering Society - 120th Convention Spring Preprints 2006
Place of Publication	New York
Publisher	Audio Engineering Society
Pages	2211-2218
Number of pages	8
Volume	4
ISBN (Print)	9781604235975
Publication status	Published - 2006
Externally published	Yes
Event	120th Convention Spring Preprints 2006 - Paris, France Duration: 20 May 2006 → 23 May 2006

Other

Other	120th Convention Spring Preprints 2006
Country/Territory	France
City	Paris
Period	20/05/06 → 23/05/06

Cite this

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title = "A perceptual measure for assessing and removing reverberation from audio signals",

abstract = "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.",

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A perceptual measure for assessing and removing reverberation from audio signals. / Zarouchas, Thomas; Mourjopoulos, John; Hatziantoniou, Panagiotis et al.
Audio Engineering Society - 120th Convention Spring Preprints 2006. Vol. 4 New York: Audio Engineering Society, 2006. p. 2211-2218.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

TY - GEN

T1 - A perceptual measure for assessing and removing reverberation from audio signals

AU - Zarouchas, Thomas

AU - Mourjopoulos, John

AU - Hatziantoniou, Panagiotis

AU - Buchholz, Joerg

PY - 2006

Y1 - 2006

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/84866515339

M3 - Conference proceeding contribution

AN - SCOPUS:84866515339

SN - 9781604235975

VL - 4

SP - 2211

EP - 2218

BT - Audio Engineering Society - 120th Convention Spring Preprints 2006

PB - Audio Engineering Society

CY - New York

T2 - 120th Convention Spring Preprints 2006

Y2 - 20 May 2006 through 23 May 2006

ER -

A perceptual measure for assessing and removing reverberation from audio signals

Abstract

Other

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