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作者:

Huang, Yawen (Huang, Yawen.) | Yang, Shengqi (Yang, Shengqi.)

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摘要:

In sleep environment, respiratory signals are inevitably affected by ambient noise. In order to improve the noise estimation ability of noise spectrum estimation algorithm, an improved IMCRA non-stationary noise estimation algorithm is proposed. The algorithm uses the 3 spectral smoothing method to estimate the probability of respiratory signals and control the length of segments. In the case of noise overestimation or underestimation, a safety mechanism is introduced to limit or compensate for the noise estimate. Experimental results show that compared with IMCRA algorithm, the improved algorithm improves the noise estimation ability. At the same time, the intelligibility and sharpness of speech signals are improved, which can be applied to de-noising sleep signals better. © 2018 IEEE.

关键词:

Signal denoising Sleep research Spectrum analysis Speech intelligibility

作者机构:

  • [ 1 ] [Huang, Yawen]Department of Information Technology, Beijing University of Technology, School of Software Engineering, Beijing, China
  • [ 2 ] [Yang, Shengqi]Department of Information Technology, Beijing University of Technology, School of Software Engineering, Beijing, China

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年份: 2018

页码: 1298-1302

语种: 英文

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