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A Perspective on Stereophonic Acoustic Echo Cancellation [electronic resource] /by Jacob Benesty, Constantin Paleologu, Tomas Gänsler, Silviu Ciochină.

by Benesty, Jacob [author.]; Paleologu, Constantin [author.]; Gänsler, Tomas [author.]; Ciochină, Silviu [author.]; SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Springer Topics in Signal Processing: 4Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011.Description: VI, 139 p. online resource.ISBN: 9783642225741.Subject(s): Engineering | Computer science | Fourier analysis | Engineering | Signal, Image and Speech Processing | User Interfaces and Human Computer Interaction | Fourier AnalysisDDC classification: 621.382 Online resources: Click here to access online
Contents:
Introduction -- Problem Formulation -- System Identification with the Wiener Filter -- A Class of Stochastic Adaptive Filters -- A Class of Affine Projection Algorithms -- Recursive Least-Squares Algorithms -- Double-Talk Detection -- Echo and Noise Suppression as a Binaural Noise Reduction Problem -- Experimental Study.
In: Springer eBooksSummary: Single-channel hands-free teleconferencing systems are becoming popular. In order to enhance the communication quality of these systems, more and more stereophonic sound devices with two loudspeakers and two microphones are deployed. Because of the coupling between loudspeakers and microphones, there may be strong echoes, which make real-time communication very difficult. The best way we know to cancel these echoes is via a stereo acoustic echo canceller (SAEC), which can be modelled as a two-input/two-output system with real random variables. In this work, the authors recast this problem into a single-input/single-output system with complex random variables thanks to the widely linear model. From this new convenient formulation, they re-derive the most important aspects of a SAEC, including identification of the echo paths with adaptive filters, double-talk detection, and suppression.
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Introduction -- Problem Formulation -- System Identification with the Wiener Filter -- A Class of Stochastic Adaptive Filters -- A Class of Affine Projection Algorithms -- Recursive Least-Squares Algorithms -- Double-Talk Detection -- Echo and Noise Suppression as a Binaural Noise Reduction Problem -- Experimental Study.

Single-channel hands-free teleconferencing systems are becoming popular. In order to enhance the communication quality of these systems, more and more stereophonic sound devices with two loudspeakers and two microphones are deployed. Because of the coupling between loudspeakers and microphones, there may be strong echoes, which make real-time communication very difficult. The best way we know to cancel these echoes is via a stereo acoustic echo canceller (SAEC), which can be modelled as a two-input/two-output system with real random variables. In this work, the authors recast this problem into a single-input/single-output system with complex random variables thanks to the widely linear model. From this new convenient formulation, they re-derive the most important aspects of a SAEC, including identification of the echo paths with adaptive filters, double-talk detection, and suppression.

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