A Multidelay Double-Talk Detector Combined with the MDF Adaptive Filter

<p/> <p>The multidelay block frequency-domain (MDF) adaptive filter is an excellent candidate for both acoustic and network echo cancellation. There is a need for a very good double-talk detector (DTD) to be combined efficiently with the MDF algorithm. Recently, a DTD based on a normaliz...

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Main Authors: G&#228;nsler Tomas, Benesty Jacob
Format: Article
Language:English
Published: SpringerOpen 2003-01-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Online Access:http://dx.doi.org/10.1155/S1110865703305037
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spelling doaj-3a1f2fc57ddf4cda9e5a0b8d0ec455a92020-11-24T21:12:36ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802003-01-01200311814263A Multidelay Double-Talk Detector Combined with the MDF Adaptive FilterG&#228;nsler TomasBenesty Jacob<p/> <p>The multidelay block frequency-domain (MDF) adaptive filter is an excellent candidate for both acoustic and network echo cancellation. There is a need for a very good double-talk detector (DTD) to be combined efficiently with the MDF algorithm. Recently, a DTD based on a normalized cross-correlation vector was proposed and it was shown that this DTD performs much better than the Geigel algorithm and other DTDs based on the cross-correlation coefficient. In this paper, we show how to extend the definition of a normalized cross-correlation vector in the frequency domain for the general case where the block size of the Fourier transform is smaller than the length of the adaptive filter. The resulting DTD has an MDF structure, which makes it easy to implement, and a good fit with an echo canceler based on the MDF algorithm. We also analyze resource requirements (computational complexity and memory requirement) and compare the MDF algorithm with the normalized least mean square algorithm (NLMS) from this point of view.</p>http://dx.doi.org/10.1155/S1110865703305037adaptive filteringfrequency domaindouble-talk detectionecho cancellation
collection DOAJ
language English
format Article
sources DOAJ
author G&#228;nsler Tomas
Benesty Jacob
spellingShingle G&#228;nsler Tomas
Benesty Jacob
A Multidelay Double-Talk Detector Combined with the MDF Adaptive Filter
EURASIP Journal on Advances in Signal Processing
adaptive filtering
frequency domain
double-talk detection
echo cancellation
author_facet G&#228;nsler Tomas
Benesty Jacob
author_sort G&#228;nsler Tomas
title A Multidelay Double-Talk Detector Combined with the MDF Adaptive Filter
title_short A Multidelay Double-Talk Detector Combined with the MDF Adaptive Filter
title_full A Multidelay Double-Talk Detector Combined with the MDF Adaptive Filter
title_fullStr A Multidelay Double-Talk Detector Combined with the MDF Adaptive Filter
title_full_unstemmed A Multidelay Double-Talk Detector Combined with the MDF Adaptive Filter
title_sort multidelay double-talk detector combined with the mdf adaptive filter
publisher SpringerOpen
series EURASIP Journal on Advances in Signal Processing
issn 1687-6172
1687-6180
publishDate 2003-01-01
description <p/> <p>The multidelay block frequency-domain (MDF) adaptive filter is an excellent candidate for both acoustic and network echo cancellation. There is a need for a very good double-talk detector (DTD) to be combined efficiently with the MDF algorithm. Recently, a DTD based on a normalized cross-correlation vector was proposed and it was shown that this DTD performs much better than the Geigel algorithm and other DTDs based on the cross-correlation coefficient. In this paper, we show how to extend the definition of a normalized cross-correlation vector in the frequency domain for the general case where the block size of the Fourier transform is smaller than the length of the adaptive filter. The resulting DTD has an MDF structure, which makes it easy to implement, and a good fit with an echo canceler based on the MDF algorithm. We also analyze resource requirements (computational complexity and memory requirement) and compare the MDF algorithm with the normalized least mean square algorithm (NLMS) from this point of view.</p>
topic adaptive filtering
frequency domain
double-talk detection
echo cancellation
url http://dx.doi.org/10.1155/S1110865703305037
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