Noise estimation by minima controlled recursive averaging for robust speech enhancement

被引：517

作者：

Cohen, I ^{[1
]}

Berdugo, B

机构：

[1] Technion Israel Inst Technol, Dept Elect Engn, IL-32000 Haifa, Israel

[2] Lamar Signal Proc Ltd, IL-20692 Yokneam Ilit, Israel

来源：

IEEE SIGNAL PROCESSING LETTERS | 2002年 / 9卷 / 01期

关键词：

acoustic noise; signal detection; spectral analysis; speech enhancement;

D O I：

10.1109/97.988717

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 introduce a minima controlled recursive averaging (MCRA) approach for noise estimation. The noise estimate is given by averaging past spectral power values and using a smoothing parameter that is adjusted by the signal presence probability in subbands. Presence of speech in subbands is determined by the ratio between the local energy of the noisy speech and its minimum within a specified time window. The noise estimate is computationally efficient, robust with respect to the input signal-to-noise ratio (SNR) and type of underlying additive noise, and characterized by the ability to quickly follow abrupt changes in the noise spectrum.

引用

页码：12 / 15

页数：4