Causal Multi Quantile Noise Spectrum Estimation for Speech Enhancement

M. Farhadloo, A. Sayadian, M. Asgari, A. Mostafavi
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引用次数: 1

Abstract

Suppression of additive noise from speech signal is a fundamental problem in audio signal processing. We present in this paper a novel algorithm for single channel speech enhancement. The algorithm consists of two steps: First, estimation of the noise power spectrum with a multi quantile method and second, elimination of the estimated noise from the observed signal by spectral subtraction or Wiener filtering. In this method, instead of a global quantile for all frequency bands, we divide the entire frequency band into three regions and use different quantile in each region. Our simulation results show that the new method has better performance than quantile based noise estimation.
语音增强的因果多分位数噪声谱估计
语音信号中加性噪声的抑制是音频信号处理中的一个基本问题。本文提出了一种新的单通道语音增强算法。该算法分为两步:第一步,用多分位数法估计噪声功率谱;第二步,用谱减法或维纳滤波从观测信号中消除估计的噪声。在该方法中,我们将整个频段划分为三个区域,每个区域使用不同的分位数,而不是对所有频段使用全局分位数。仿真结果表明,该方法比基于分位数的噪声估计具有更好的性能。
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