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Speech enhancement based on noise-compensated phase spectrum

机译:基于噪声补偿相位谱的语音增强

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摘要

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:本文提出了一种基于短时相位频谱噪声补偿的噪声语音增强方法。在这里,提议用于修改噪声语音相位频谱的噪声估计是通过利用当前帧的噪声语音的低频区域而不是仅依赖于初始静默帧来确定的。我们认为,这种噪声估计方法提供了跟踪非平稳噪声时间变化的能力。通过使用这样获得的噪声估计,制定了一种程序来补偿相位谱中的失真,该失真在典型的语音增强方法中保持不变。然后,在合成增强帧之前,将经过噪声补偿的相位频谱与幅度频谱重新组合,以生成修改后的复杂频谱。为了评估所提出方法的性能,使用NOIZEUS数据库进行了广泛的仿真。从客观测量,频谱图分析和非正式的主观听力测试方面可以看出,所提出的方法始终优于最新的语音增强方法,该方法在汽车或杂讯噪声非常低的SNR损坏的嘈杂语音中表现出出色的语音效果。

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