Low-complexity implementation of a real-time decorrelation algorithm for stereophonic acoustic echo cancellation

Authors:
Stefania Cecchi;Laura Romoli;Paolo Peretti;Francesco Piazza
Affiliations:
Department of Information Engineering, Universití Politecnica delle Marche, Via Brecce Bianche, 60131 Ancona, Italy;Department of Information Engineering, Universití Politecnica delle Marche, Via Brecce Bianche, 60131 Ancona, Italy;Department of Information Engineering, Universití Politecnica delle Marche, Via Brecce Bianche, 60131 Ancona, Italy;Department of Information Engineering, Universití Politecnica delle Marche, Via Brecce Bianche, 60131 Ancona, Italy
Venue:
Signal Processing
Year:
2012

Citing 8
Cited 0

Introduction to signal processing

Introduction to signal processing
Discrete-time signal processing (2nd ed.)

Discrete-time signal processing (2nd ed.)
Speech Recognition over Digital Channels: Robustness And Standards

Speech Recognition over Digital Channels: Robustness And Standards
Speech and Language Processing (2nd Edition)

Speech and Language Processing (2nd Edition)
A stereo echo canceler with correct echo-path identification basedon an input-sliding technique

IEEE Transactions on Signal Processing
Time-Reversal Approach to the Stereophonic Acoustic Echo Cancellation Problem

IEEE Transactions on Audio, Speech, and Language Processing
Effective bass enhancement using second-order adaptive notch filter

IEEE Transactions on Consumer Electronics
A Mixed Decorrelation Approach for Stereo Acoustic Echo Cancellation Based on the Estimation of the Fundamental Frequency

IEEE Transactions on Audio, Speech, and Language Processing

Quantified Score

Hi-index	0.08

Visualization

Abstract

Multichannel acoustic echo cancellers are used in teleconferencing systems in order to reduce undesired echoes and to introduce better performance in terms of sound localization in the presence of more than one participant. Already, stereophonic systems obtain realistic performance, since listeners have spatial information that helps to identify the speaker position. Unfortunately, the correlation between the two channels prevents a correct identification of the echo paths and signal decorrelation is needed. In this paper, a low-complexity implementation of a real-time decorrelation approach is proposed based on the ''missing-fundamental'' phenomenon. This implies that the proposed approach is focused on the computation of one adaptive parameter in order to guarantee high performance in terms of convergence speed, audio quality, and computational complexity. Experiments confirm the effectiveness of the proposed approach, showing its feasibility in real scenarios.