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基于加权噪声的递归平滑噪声功率谱估计

冯炎 安宝坤

太赫兹科学与电子信息学报Issue(5):787-791,5.
太赫兹科学与电子信息学报Issue(5):787-791,5.DOI:10.11805/TKYDA201305.0787

基于加权噪声的递归平滑噪声功率谱估计

Recursive averaging noise power spectrum estimation based on weighted noise

冯炎 1安宝坤1

作者信息

  • 1. 西藏大学 现代教育技术中心,西藏 拉萨 850000
  • 折叠

摘要

Abstract

A noise power spectrum estimation algorithm is presented, which continuously updates the estimated noise by weighted noisy speech for non-stationary noise environments. To avoid noise overestimates in the weak speech regions following strong speech, a projecting smoothing method is developed for weighting factor calculation. The update for varied noise power levels is much faster compared to most other algorithms, and at the same time, noise power spectrum is not overestimated. Experimental results indicate that the proposed noise estimation algorithm yields lower segmental estimation error and better Perceptual Evaluation of Speech Quality(PESQ) scores when integrated in speech enhancement.

关键词

语音增强/先验信噪比估计/噪声功率谱估计/递归平滑

Key words

speech enhancement/weighted noise estimation/noise power spectrum estimation/recursive averaging

分类

信息技术与安全科学

引用本文复制引用

冯炎,安宝坤..基于加权噪声的递归平滑噪声功率谱估计[J].太赫兹科学与电子信息学报,2013,(5):787-791,5.

太赫兹科学与电子信息学报

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2095-4980

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