Reduction of broad-band noise in speech by truncated QSVD

Søren Holdt Jensen; Per Christian Hansen; Steffen Duus Hansen; John Aasted Sørensen

doi:10.1109/89.482211

Reduction of broad-band noise in speech by truncated QSVD

Søren Holdt Jensen, Per Christian Hansen, Steffen Duus Hansen, John Aasted Sørensen

Technical University of Denmark

Research output: Contribution to journal › Journal article › Research › peer-review

Abstract

We consider an algorithm for reduction of broadband noise in speech based on signal subspaces. The algorithm is formulated by means of the quotient singular value decomposition (QSVD). With this formulation, a prewhitening operation becomes an integral part of the algorithm. We demonstrate that this is essential in connection with updating issues in real-time recursive applications. We also illustrate by examples that we are able to achieve a satisfactory quality of the reconstructed signal.

Original language	English
Journal	IEEE transactions on speech and audio processing
Volume	3
Issue number	6
Pages (from-to)	439-448
Number of pages	10
ISSN	1063-6676
DOIs	https://doi.org/10.1109/89.482211
Publication status	Published - 1995

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title = "Reduction of broad-band noise in speech by truncated QSVD",

abstract = "We consider an algorithm for reduction of broadband noise in speech based on signal subspaces. The algorithm is formulated by means of the quotient singular value decomposition (QSVD). With this formulation, a prewhitening operation becomes an integral part of the algorithm. We demonstrate that this is essential in connection with updating issues in real-time recursive applications. We also illustrate by examples that we are able to achieve a satisfactory quality of the reconstructed signal.",

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AU - Hansen, Per Christian

AU - Hansen, Steffen Duus

AU - Sørensen, John Aasted

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Y1 - 1995

N2 - We consider an algorithm for reduction of broadband noise in speech based on signal subspaces. The algorithm is formulated by means of the quotient singular value decomposition (QSVD). With this formulation, a prewhitening operation becomes an integral part of the algorithm. We demonstrate that this is essential in connection with updating issues in real-time recursive applications. We also illustrate by examples that we are able to achieve a satisfactory quality of the reconstructed signal.

AB - We consider an algorithm for reduction of broadband noise in speech based on signal subspaces. The algorithm is formulated by means of the quotient singular value decomposition (QSVD). With this formulation, a prewhitening operation becomes an integral part of the algorithm. We demonstrate that this is essential in connection with updating issues in real-time recursive applications. We also illustrate by examples that we are able to achieve a satisfactory quality of the reconstructed signal.

U2 - 10.1109/89.482211

DO - 10.1109/89.482211

M3 - Journal article

VL - 3

SP - 439

EP - 448

JO - IEEE Transactions on Speech and Audio Processing

JF - IEEE Transactions on Speech and Audio Processing

SN - 1063-6676

IS - 6

ER -

Reduction of broad-band noise in speech by truncated QSVD

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