Two microphones speech enhancement system based on a double fast recursive least squares (DFRLS) algorithm

M. Gabrea; E. Mandridake; M. Menez; M. Najim; A. Vallauri

Two microphones speech enhancement system based on a double fast recursive least squares (DFRLS) algorithm

M. Gabrea
, E. Mandridake
, M. Menez
, M. Najim
, A. Vallauri

Résultats de recherche: Contribution à un journal › Article de conférence › Revue par des pairs

Résumé

In this paper a symmetric feedback implementation scheme of a two microphones speech enhancement is presented. We consider the coupling systems modelled as a linear time-invariant Finite Impulse Response (FIR) filters and propose a new recursive-based adaptive filter solution to enhance the noisy speech . The optimum filter weight adaptation is based on a Double Fast Recursive Least Squares (DFRLS) algorithm. This approach can be extended for a subclass of signal separations where the direct link is stronger than the interference link in the both channels. A comparative study with other adaptive algorithms shows the superiority of the DFRLS in SNR performance improvement.

langue originale	Anglais
journal	European Signal Processing Conference
état	Publié - 2015
Modification externe	Oui
Evénement	8th European Signal Processing Conference, EUSIPCO 1996 - Trieste, Italie Durée: 10 sept. 1996 → 13 sept. 1996

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Contient cette citation

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title = "Two microphones speech enhancement system based on a double fast recursive least squares (DFRLS) algorithm",

abstract = "In this paper a symmetric feedback implementation scheme of a two microphones speech enhancement is presented. We consider the coupling systems modelled as a linear time-invariant Finite Impulse Response (FIR) filters and propose a new recursive-based adaptive filter solution to enhance the noisy speech . The optimum filter weight adaptation is based on a Double Fast Recursive Least Squares (DFRLS) algorithm. This approach can be extended for a subclass of signal separations where the direct link is stronger than the interference link in the both channels. A comparative study with other adaptive algorithms shows the superiority of the DFRLS in SNR performance improvement.",

author = "M. Gabrea and E. Mandridake and M. Menez and M. Najim and A. Vallauri",

note = "Publisher Copyright: {\textcopyright} 2015 European Signal Processing Conference, EUSIPCO. All rights reserved.; 8th European Signal Processing Conference, EUSIPCO 1996 ; Conference date: 10-09-1996 Through 13-09-1996",

year = "2015",

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journal = "European Signal Processing Conference",

issn = "2219-5491",

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T1 - Two microphones speech enhancement system based on a double fast recursive least squares (DFRLS) algorithm

AU - Gabrea, M.

AU - Mandridake, E.

AU - Menez, M.

AU - Najim, M.

AU - Vallauri, A.

PY - 2015

Y1 - 2015

N2 - In this paper a symmetric feedback implementation scheme of a two microphones speech enhancement is presented. We consider the coupling systems modelled as a linear time-invariant Finite Impulse Response (FIR) filters and propose a new recursive-based adaptive filter solution to enhance the noisy speech . The optimum filter weight adaptation is based on a Double Fast Recursive Least Squares (DFRLS) algorithm. This approach can be extended for a subclass of signal separations where the direct link is stronger than the interference link in the both channels. A comparative study with other adaptive algorithms shows the superiority of the DFRLS in SNR performance improvement.

AB - In this paper a symmetric feedback implementation scheme of a two microphones speech enhancement is presented. We consider the coupling systems modelled as a linear time-invariant Finite Impulse Response (FIR) filters and propose a new recursive-based adaptive filter solution to enhance the noisy speech . The optimum filter weight adaptation is based on a Double Fast Recursive Least Squares (DFRLS) algorithm. This approach can be extended for a subclass of signal separations where the direct link is stronger than the interference link in the both channels. A comparative study with other adaptive algorithms shows the superiority of the DFRLS in SNR performance improvement.

UR - https://www.scopus.com/pages/publications/85113843417

M3 - Conference article

AN - SCOPUS:85113843417

SN - 2219-5491

JO - European Signal Processing Conference

JF - European Signal Processing Conference

T2 - 8th European Signal Processing Conference, EUSIPCO 1996

Y2 - 10 September 1996 through 13 September 1996

ER -