Journal ArticleDOI
A new class of doubletalk detectors based on cross-correlation
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TLDR
It is shown that this measure is not appropriate and a modified form that meets, in an optimal way, the needs for an efficient DTD is proposed that is also a definition of the normalized cross-correlation matrix between two vectors and a link with the coherence function.Abstract:
A doubletalk detector (DTD) is used with an echo canceler to sense when far-end speech is corrupted by near-end speech. Its role is to freeze the adaptation of the model filter when near-end speech is present in order to avoid divergence of the adaptive algorithm. Several authors have proposed to use the cross-correlation coefficient vector between the input signal vector x and the scalar output y for a DTD. We show in this paper that this measure is not appropriate and propose a modified form that meets, in an optimal way, the needs for an efficient DTD. By extension, we also propose a definition of the normalized cross-correlation matrix between two vectors and show a link with the coherence function.read more
Citations
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Journal ArticleDOI
A Variable Step-Size Affine Projection Algorithm Designed for Acoustic Echo Cancellation
TL;DR: This paper proposes a VSS-APA derived in the context of AEC that aims to recover the near-end signal within the error signal of the adaptive filter and is robust against near- end signal variations (including double-talk).
Journal ArticleDOI
An objective technique for evaluating doubletalk detectors in acoustic echo cancelers
TL;DR: A way to objectively evaluate DTD algorithms based on the standard statistical methods of detection theory is developed and a receiver operating characteristic (ROC) is derived to characterize DTD performance.
Book
Sparse Adaptive Filters for Echo Cancellation
TL;DR: This book presents the most important sparse adaptive filters developed for echo cancellation and proposes some new solutions for further performance improvement, e.g., variable step-size versions and novel proportionate-type affine projection algorithms.
Journal ArticleDOI
Suppressing acoustic echo in a spectral envelope space
Christof Faller,Jingdong Chen +1 more
TL;DR: This paper proposes an echo suppression algorithm, which estimates the spectral envelope of the echo signal by spectral modification-a technique originally proposed for noise reduction, and shows that this new approach has several advantages over the traditional AEC.
Book ChapterDOI
Acoustic Echo Control
TL;DR: This chapter recalls the established signal processing strategies for acoustic echo cancellation, mostly based on the family of deterministic least-squares adaptive filters, and presents different optimum filtering solutions which were tailored for robustness against the specific uncertainties related to echo path variability, nonlinearity, and clock drift in a system.
References
More filters
Book
Adaptive Filter Theory
TL;DR: In this paper, the authors propose a recursive least square adaptive filter (RLF) based on the Kalman filter, which is used as the unifying base for RLS Filters.
Journal ArticleDOI
The generalized correlation method for estimation of time delay
TL;DR: In this paper, a maximum likelihood estimator is developed for determining time delay between signals received at two spatially separated sensors in the presence of uncorrelated noise, where the role of the prefilters is to accentuate the signal passed to the correlator at frequencies for which the signal-to-noise (S/N) ratio is highest and suppress the noise power.
Journal ArticleDOI
On the asymptotic eigenvalue distribution of Toeplitz matrices
TL;DR: This tutorial paper proves the Szegio theorem for the special case of finite-order Toeplitz matrices, which is both simple and intuitive and contains the important concepts involved in the most general case.
Journal ArticleDOI
An adaptive echo canceller
TL;DR: A novel method is presented for echo-cancellation in long distance telephone connections by means of a replica of the echo synthesized and subtracted from the return signal and shown that under ideal conditions, the echo converges to zero.
Journal ArticleDOI
A new double-talk detection algorithm based on the orthogonality theorem
TL;DR: The algorithm not only prevents the echo canceler from being disturbed by double talking but also tracks the echo path variations and requires more computation and storage than conventional algorithms.