Noise Estimation with an Inverse Comb Filter in Non-Stationary Noise Environments

被引：0

作者：

Shimamura, Tetsuya ^{[1
]}

Kato, Fumiya ^{[1
]}

机构：

[1] Saitama Univ, Grad Sch Sci & Engn, 255 Shimo Okubo, Saitama 3388570, Japan

来源：

2017 IEEE 60TH INTERNATIONAL MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS (MWSCAS) | 2017年

关键词：

noise estimation; inverse comb filter; spectral subtraction; non-stationary noise environments; PITCH DETECTION; SPEECH;

D O I：

暂无

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：

We propose a new noise estimation method using only the current frame of noisy speech. The proposed method utilizes an inverse comb filter for noisy speech to suppress the power of speech, and estimates the noise from the resulting spectrum. It is shown by experiments that the spectral subtraction combined with the proposed noise estimation method is superior to the conventional speech enhancement methods in non-stationary noise environments.

引用

页码：156 / 159

页数：4

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