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Speech enhancement based on noise-compensated phase spectrum

机译:基于噪声补偿阶段谱的语音增强

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In this paper, a noisy speech enhancement method based on noise compensation performed on short time phase spectrum is presented. Here the noise estimate to be used to modify the noisy speech phase spectrum is proposed to be determined by exploiting the low frequency regions of noisy speech of current frame rather than depending only on the initial silence frames. We argue that this approach of noise estimation offers the capability of the tracking the time variation of the non-stationary noise. By employing the noise estimates thus obtained, a procedure is formulated to compensate the distortion in the phase spectrum, which is kept unchanged in the typical speech enhancement methods. The noise compensated phase spectrum is then recombined with the magnitude spectrum to produce a modified complex spectrum prior to synthesize an enhanced frame. Extensive simulations are carried out using NOIZEUS database in order evaluate the performance of proposed method. It is shown in terms of objective measures, spectrogram analysis and informal subjective listening tests that the proposed method consistently outperforms a state-of-the-art method of speech enhancement from noisy speech corrupted by car or babble noise of very low levels of SNR.
机译:本文介绍了基于在短时间谱上执行的基于噪声补偿的嘈杂语音增强方法。这里提出了用于修改嘈杂语音阶段谱的噪声估计来通过利用当前帧的噪声语音的低频区域而不是仅根据初始沉默帧来确定。我们认为这种噪声估计的方法提供了跟踪非静止噪声的时间变化的能力。通过采用由此获得的噪声估计,配制过程以补偿相谱中的失真,其在典型的语音增强方法中保持不变。然后将噪声补偿相谱与幅度谱重新组合以在合成增强框架之前产生修改的复杂谱。使用Noizeus数据库进行广泛的模拟,以评估所提出的方法的性能。它以客观度量,谱图分析和非正式主观听力测试所示,所提出的方法始终如一地优于由汽车或嘈杂的SNR水平损坏的嘈杂言语增强的最先进的语音增强方法。

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