A Novel Normalized Cross-Correlation Based Echo-Path Change Detector

A double-talk detector is used to freeze acoustic echo canceller's (AEC) filter adaptation during periods of near-end speech. Increased sensitivity towards double-talk results in declaring echo-path changes as double-talk which adversely effects the performance of an AEC as we freeze adaptation...

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Bibliographic Details
Published in2007 IEEE Region 5 Technical Conference pp. 249 - 251
Main Authors Iqbal, M.A., Grant, S.L.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2007
Subjects
Acoustic signal detection
Adaptive filters
Change detection algorithms
Detectors
Echo cancellers
Microphones
Signal synthesis
Speech
Statistics
Testing
Online AccessGet full text
ISBN142441279X
9781424412792
DOI10.1109/TPSD.2007.4380390

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Summary:A double-talk detector is used to freeze acoustic echo canceller's (AEC) filter adaptation during periods of near-end speech. Increased sensitivity towards double-talk results in declaring echo-path changes as double-talk which adversely effects the performance of an AEC as we freeze adaptation when we really need to adapt. Thus, we need an efficient and simple echo-path change detector so as to differentiate any echo-path variations from double-talk condition. In this paper, we derive a novel test statistic for echo-path change detection. The proposed decision statistic detects any echo-path variations, is normalized properly and is computationally very efficient as compared to existing techniques. Simulations demonstrate the efficiency of the proposed algorithm.
ISBN:142441279X
9781424412792
DOI:10.1109/TPSD.2007.4380390