On the output SNR of the speech-distortion weighted multichannel Wiener filter

被引：24

作者：

Doclo, S ^{[1
]}

Moonen, M ^{[1
]}

机构：

[1] Katholieke Univ Leuven, Dept Elect Engn, ESAT, SCD, B-3001 Louvain, Belgium

来源：

IEEE SIGNAL PROCESSING LETTERS | 2005年 / 12卷 / 12期

关键词：

multichannel Wiener filter; output signal-to-noise ratio (SNR);

D O I：

10.1109/LSP.2005.859530

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this letter, we prove that the output signal-to-noise ratio (SNR) after noise reduction with the speech-distortion weighted multichannel Wiener filter is always larger than or equal to the input SNR, for any filter length, for any value of the tradeoff parameter between noise reduction and speech distortion, and for all possible speech and noise correlation matrices.

引用

页码：809 / 811

页数：3

共 8 条

[1]

Benesty J, 2005, SIG COM TEC, P9, DOI 10.1007/3-540-27489-8_2

[2] SUPPRESSION OF ACOUSTIC NOISE IN SPEECH USING SPECTRAL SUBTRACTION [J].

BOLL, SF .

IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING, 1979, 27 (02) :113-120

[3]

Diethorn EJ, 2000, SPRING INT SER ENG C, V551, P155

[4] GSVD-based optimal filtering for single and multimicrophone speech enhancement [J].

Doclo, S ;

Moonen, M .

IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2002, 50 (09) :2230-2244

[5] A SIGNAL SUBSPACE APPROACH FOR SPEECH ENHANCEMENT [J].

EPHRAIM, Y ;

VANTREES, HL .

IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, 1995, 3 (04) :251-266

[6] SPEECH ENHANCEMENT USING A MINIMUM MEAN-SQUARE ERROR SHORT-TIME SPECTRAL AMPLITUDE ESTIMATOR [J].

EPHRAIM, Y ;

MALAH, D .

IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING, 1984, 32 (06) :1109-1121

[7]

Scharf L. L., 1991, STAT SIGNAL PROCESSI

[8] Spatially pre-processed speech distortion weighted multi-channel Wiener filtering for noise reduction [J].

Spriet, A ;

Moonen, M ;

Wouters, J .

SIGNAL PROCESSING, 2004, 84 (12) :2367-2387

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