JOURNAL ARTICLE

Equalization of multichannel acoustic system using sub-systems for speech dereverberation

Abstract

An auto-relation aided multiple-input/output inverse filtering algorithm (A-RAM) is proposed for the inverse filtering of room acoustics in speech dereverberation. In A-RAM, we exploit the relationship between the received reverberant signals and the acoustic impulse responses as well as constraining the reconstructed signals of the two sub-systems. This results in an auto-relation which is then used as a constraint for the adaptive multiple input/output inversion theorem (A-MINT) algorithm. Simulation results, using both synthetic and recorded room impulse responses, show that the proposed A-RAM achieves a fast convergence compared to A-MINT.

Keywords:
Computer science Impulse (physics) Reverberation Impulse response Inverse Speech recognition Inversion (geology) Exploit Finite impulse response Algorithm Constraint (computer-aided design) Relation (database) Acoustics Mathematics

Metrics

2
Cited By
0.31
FWCI (Field Weighted Citation Impact)
12
Refs
0.55
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Speech and Audio Processing
Physical Sciences →  Computer Science →  Signal Processing
Advanced Adaptive Filtering Techniques
Physical Sciences →  Engineering →  Computational Mechanics
Acoustic Wave Phenomena Research
Physical Sciences →  Engineering →  Biomedical Engineering

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