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Speech Enhancement using a Wiener denoising technique and musical noise reduction

机译:使用维纳去噪技术和音乐降低的语音增强

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摘要

Speech enhancement methods using spectral subtraction have the drawback of generating an annoying residual noise with musical character. In this paper a frequency domain optimal linear estimator with perceptual post filtering is proposed which incorporates the masking properties of the human auditory system to make the residual noise distortion inaudible. The performance of the proposed enhancement algorithm is evaluated by the Segmental SNR, Log Spectral Distance (LSD) and Perceptual Evaluation of Speech Quality (PESQ) measures under various noisy environments and yields better results compared to the Wiener denoising technique.
机译:使用光谱减法的语音增强方法具有用音乐特征产生令人讨厌的剩余噪声的缺点。在本文中,提出了一种具有感知后滤波的频域最佳线性估计,其包括人类听觉系统的掩蔽特性,以使残余噪声失真在不见声中。所提升算法的性能由分段SNR,日志光谱距离(LSD)和语音质量(PESQ)测量的感知评估评估,与维纳去噪技术相比,产生更好的结果。

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