Novel sub-band adaptive systems incorporating wiener filtering for binaural speech enhancement

Amir Hussain; Stefano Squartini; Francesco Piazza

Novel sub-band adaptive systems incorporating wiener filtering for binaural speech enhancement

Amir Hussain^*
, Stefano Squartini
, Francesco Piazza

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

In this paper, new Wiener filtering based binaural sub-band schemes are proposed for adaptive speech-enhancement. The proposed architectures combine a Multi-Microphone Sub-band Adaptive (MMSBA) system with Wiener filtering in order to further reduce the in-coherent noise components resulting from application of conventional MMSBA noise cancellers. A human cochlear model resulting in a non-linear distribution of the sub-band filters is also employed in the developed schemes. Preliminary comparative results achieved in simulation experiments using anechoic speech corrupted with real automobile noise show that the proposed structures are capable of significantly outperforming the conventional MMSBA scheme without Wiener filtering.

Original language	English
Title of host publication	Nonlinear Analyses and Algorithms for Speech Processing - International Conference on Non-Linear Speech Processing, NOLISP 2005, Revised Selected Papers
Pages	318-327
Number of pages	10
State	Published - 2005
Externally published	Yes
Event	International Conference on Non-Linear Speech Processing, NOLISP 2005 - Barcelona, Spain Duration: 19 Apr 2005 → 22 Apr 2005

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3817 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Conference on Non-Linear Speech Processing, NOLISP 2005
Country/Territory	Spain
City	Barcelona
Period	19/04/05 → 22/04/05

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Cite this

Hussain, A., Squartini, S., & Piazza, F. (2005). Novel sub-band adaptive systems incorporating wiener filtering for binaural speech enhancement. In Nonlinear Analyses and Algorithms for Speech Processing - International Conference on Non-Linear Speech Processing, NOLISP 2005, Revised Selected Papers (pp. 318-327). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3817 LNAI).

Hussain, Amir ; Squartini, Stefano ; Piazza, Francesco. / Novel sub-band adaptive systems incorporating wiener filtering for binaural speech enhancement. Nonlinear Analyses and Algorithms for Speech Processing - International Conference on Non-Linear Speech Processing, NOLISP 2005, Revised Selected Papers. 2005. pp. 318-327 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Novel sub-band adaptive systems incorporating wiener filtering for binaural speech enhancement",

abstract = "In this paper, new Wiener filtering based binaural sub-band schemes are proposed for adaptive speech-enhancement. The proposed architectures combine a Multi-Microphone Sub-band Adaptive (MMSBA) system with Wiener filtering in order to further reduce the in-coherent noise components resulting from application of conventional MMSBA noise cancellers. A human cochlear model resulting in a non-linear distribution of the sub-band filters is also employed in the developed schemes. Preliminary comparative results achieved in simulation experiments using anechoic speech corrupted with real automobile noise show that the proposed structures are capable of significantly outperforming the conventional MMSBA scheme without Wiener filtering.",

author = "Amir Hussain and Stefano Squartini and Francesco Piazza",

year = "2005",

language = "English",

isbn = "3540312579",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "318--327",

booktitle = "Nonlinear Analyses and Algorithms for Speech Processing - International Conference on Non-Linear Speech Processing, NOLISP 2005, Revised Selected Papers",

note = "International Conference on Non-Linear Speech Processing, NOLISP 2005 ; Conference date: 19-04-2005 Through 22-04-2005",

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Hussain, A, Squartini, S & Piazza, F 2005, Novel sub-band adaptive systems incorporating wiener filtering for binaural speech enhancement. in Nonlinear Analyses and Algorithms for Speech Processing - International Conference on Non-Linear Speech Processing, NOLISP 2005, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3817 LNAI, pp. 318-327, International Conference on Non-Linear Speech Processing, NOLISP 2005, Barcelona, Spain, 19/04/05.

Novel sub-band adaptive systems incorporating wiener filtering for binaural speech enhancement. / Hussain, Amir; Squartini, Stefano; Piazza, Francesco.
Nonlinear Analyses and Algorithms for Speech Processing - International Conference on Non-Linear Speech Processing, NOLISP 2005, Revised Selected Papers. 2005. p. 318-327 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3817 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Hussain, Amir

AU - Squartini, Stefano

AU - Piazza, Francesco

PY - 2005

Y1 - 2005

N2 - In this paper, new Wiener filtering based binaural sub-band schemes are proposed for adaptive speech-enhancement. The proposed architectures combine a Multi-Microphone Sub-band Adaptive (MMSBA) system with Wiener filtering in order to further reduce the in-coherent noise components resulting from application of conventional MMSBA noise cancellers. A human cochlear model resulting in a non-linear distribution of the sub-band filters is also employed in the developed schemes. Preliminary comparative results achieved in simulation experiments using anechoic speech corrupted with real automobile noise show that the proposed structures are capable of significantly outperforming the conventional MMSBA scheme without Wiener filtering.

AB - In this paper, new Wiener filtering based binaural sub-band schemes are proposed for adaptive speech-enhancement. The proposed architectures combine a Multi-Microphone Sub-band Adaptive (MMSBA) system with Wiener filtering in order to further reduce the in-coherent noise components resulting from application of conventional MMSBA noise cancellers. A human cochlear model resulting in a non-linear distribution of the sub-band filters is also employed in the developed schemes. Preliminary comparative results achieved in simulation experiments using anechoic speech corrupted with real automobile noise show that the proposed structures are capable of significantly outperforming the conventional MMSBA scheme without Wiener filtering.

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M3 - Conference contribution

AN - SCOPUS:33745442809

SN - 3540312579

SN - 9783540312574

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Nonlinear Analyses and Algorithms for Speech Processing - International Conference on Non-Linear Speech Processing, NOLISP 2005, Revised Selected Papers

T2 - International Conference on Non-Linear Speech Processing, NOLISP 2005

Y2 - 19 April 2005 through 22 April 2005

ER -

Hussain A, Squartini S, Piazza F. Novel sub-band adaptive systems incorporating wiener filtering for binaural speech enhancement. In Nonlinear Analyses and Algorithms for Speech Processing - International Conference on Non-Linear Speech Processing, NOLISP 2005, Revised Selected Papers. 2005. p. 318-327. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

Novel sub-band adaptive systems incorporating wiener filtering for binaural speech enhancement

Abstract

Publication series

Conference

ASJC Scopus subject areas

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