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Method of bias compensation for cepstro-temporal smoothing of spectral filter gain

机译:用于频谱滤波器增益的倒时平滑的偏差补偿方法

摘要

Many speech enhancement algorithms that modify short-term spectral magnitudes of the noisy signal are plagued by annoying spectral outliers that are perceived as musical noise. Techniques can reduce these outliers by means of a temporal smoothing in the cepstral domain. This cepstro-temporal smoothing increases the quality of the enhanced output signal, as it affects only spectral outliers caused by estimation errors, while the speech characteristics are well preserved. However, due to the cepstral transform, the temporal smoothing is done in the logarithmic domain rather than the linear domain, and hence results in a certain bias. Thus, the invention claims a method for a general bias compensation (º G ) for a cepstro-temporal smoothing of spectral filter gain functions that is only dependent on the lower limit (G min ) of the spectral filter-gain function (G). The bias-compensation increases the performance in terms of instrumental measures.
机译:修改嘈杂信号的短期频谱幅度的许多语音增强算法都被烦人的频谱异常值所困扰,频谱异常值被视为音乐噪声。技术可以通过倒频谱域中的时间平滑来减少这些离群值。倒谱时间平滑提高了增强输出信号的质量,因为它仅影响由估计误差引起的频谱异常,同时保留了语音特征。但是,由于倒频谱变换,时间平滑是在对数域而不是线性域中进行的,因此导致一定的偏差。因此,本发明要求保护一种方法,该方法用于频谱滤波器增益函数的倒时平滑的一般偏置补偿(​​G),该方法仅取决于频谱滤波器增益函数(G)的下限(G min)。偏置补偿可以提高仪器性能。

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