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Speech enhancement with natural sounding residual noise based on connected time-frequency speech presence regions

机译:基于连接的时频语音存在区域的具有自然声音残留噪声的语音增强

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摘要

We propose time-frequency domain methods for noise estimation and speech enhancement. A speech presence detection method is used to find connected time-frequency regions of speech presence. These regions are used by a noise estimation method and both the speech presence decisions and the noise estimate are used in the speech enhancement method. Different attenuation rules are applied to regions with and without speech presence to achieve enhanced speech with natural sounding attenuated background noise. The proposed speech enhancement method has a computational complexity, which makes it feasible for application in hearing aids. An informal listening test shows that the proposed speech enhancement method has significantly higher mean opinion scores than minimum mean-square error log-spectral amplitude (MMSE-LSA) and decision-directed MMSE-LSA.
机译:我们提出用于噪声估计和语音增强的时频域方法。语音存在检测方法用于找到语音存在的连接的时频区域。这些区域由噪声估计方法使用,语音存在决策和噪声估计都在语音增强方法中使用。将不同的衰减规则应用于有和没有语音存在的区域,以通过自然听起来衰减的背景噪声来实现增强的语音。所提出的语音增强方法具有计算复杂性,使得其在助听器中的应用是可行的。非正式的听觉测试表明,与最小均方误差对数谱振幅(MMSE-LSA)和决策型MMSE-LSA相比,所提出的语音增强方法具有更高的平均意见分数。

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