Sector-Based Detection for Hands-Free Speech Enhancement in Cars
<p/> <p>Adaptation control of beamforming interference cancellation techniques is investigated for in-car speech acquisition. Two efficient adaptation control methods are proposed that avoid target cancellation. The "implicit" method varies the step-size continuously, based on...
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2006-01-01
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Series: | EURASIP Journal on Advances in Signal Processing |
Online Access: | http://dx.doi.org/10.1155/ASP/2006/20683 |
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doaj-0ea7c795b59f42cabb4ca45be67157702020-11-24T22:24:34ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802006-01-0120061020683Sector-Based Detection for Hands-Free Speech Enhancement in CarsBourgeois JulienFreudenberger JürgenLathoud Guillaume<p/> <p>Adaptation control of beamforming interference cancellation techniques is investigated for in-car speech acquisition. Two efficient adaptation control methods are proposed that avoid target cancellation. The "implicit" method varies the step-size continuously, based on the filtered output signal. The "explicit" method decides in a binary manner whether to adapt or not, based on a novel estimate of target and interference energies. It estimates the average delay-sum power within a volume of space, for the same cost as the classical delay-sum. Experiments on real in-car data validate both methods, including a case with <inline-formula><graphic file="1687-6180-2006-020683-i1.gif"/></inline-formula> km/h background road noise.</p> http://dx.doi.org/10.1155/ASP/2006/20683 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Bourgeois Julien Freudenberger Jürgen Lathoud Guillaume |
spellingShingle |
Bourgeois Julien Freudenberger Jürgen Lathoud Guillaume Sector-Based Detection for Hands-Free Speech Enhancement in Cars EURASIP Journal on Advances in Signal Processing |
author_facet |
Bourgeois Julien Freudenberger Jürgen Lathoud Guillaume |
author_sort |
Bourgeois Julien |
title |
Sector-Based Detection for Hands-Free Speech Enhancement in Cars |
title_short |
Sector-Based Detection for Hands-Free Speech Enhancement in Cars |
title_full |
Sector-Based Detection for Hands-Free Speech Enhancement in Cars |
title_fullStr |
Sector-Based Detection for Hands-Free Speech Enhancement in Cars |
title_full_unstemmed |
Sector-Based Detection for Hands-Free Speech Enhancement in Cars |
title_sort |
sector-based detection for hands-free speech enhancement in cars |
publisher |
SpringerOpen |
series |
EURASIP Journal on Advances in Signal Processing |
issn |
1687-6172 1687-6180 |
publishDate |
2006-01-01 |
description |
<p/> <p>Adaptation control of beamforming interference cancellation techniques is investigated for in-car speech acquisition. Two efficient adaptation control methods are proposed that avoid target cancellation. The "implicit" method varies the step-size continuously, based on the filtered output signal. The "explicit" method decides in a binary manner whether to adapt or not, based on a novel estimate of target and interference energies. It estimates the average delay-sum power within a volume of space, for the same cost as the classical delay-sum. Experiments on real in-car data validate both methods, including a case with <inline-formula><graphic file="1687-6180-2006-020683-i1.gif"/></inline-formula> km/h background road noise.</p> |
url |
http://dx.doi.org/10.1155/ASP/2006/20683 |
work_keys_str_mv |
AT bourgeoisjulien sectorbaseddetectionforhandsfreespeechenhancementincars AT freudenbergerj252rgen sectorbaseddetectionforhandsfreespeechenhancementincars AT lathoudguillaume sectorbaseddetectionforhandsfreespeechenhancementincars |
_version_ |
1725760588048498688 |