Information Approach to Signal-to-Noise Ratio Estimation of the Speech Signal

被引：0
|
作者：
Gai, Vasiliy [1 ]
机构：
[1] Nizhnii Novgorod State Tech Univ, Nizhnii Novgorod, Russia
来源：
INFORMATION TECHNOLOGIES AND MATHEMATICAL MODELLING | 2014年 / 487卷
关键词：
signal to noise ratio (SNR) estimation; speech signal; theory of active perception (TAP);
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The article describes the method of signal-to-noise ratio estimation for speech signals. The proposed method is based on the theory of active perception. Within the scope of work assumes that the speech signal includes a desired signal (system formation) and noise. The conversions, which were described in the theory of active perception, allow allocating the desired signal and solving the problem of signal to noise ratio estimation. The work includes experimental data confirming workability of the proposed method.
引用
收藏
页码：137 / 144
页数：8
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