用于语音增强的β阶感知动机MMSE估计

Yue Wang, Jie Cui, Ping Li, Ling Xiao
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引用次数: 1

摘要

为了提高语音增强的性能,提出了语音短时谱幅值的β阶感知激发最小均方误差(MMSE)谱估计方法。用两种客观测度对不同β值的估计器的性能进行了评价。我们还比较了感知动机MMSE (PM)估计语音和β阶PM估计语音的波形。结果表明,采用不同的常数β值的估计器既能有效地降低噪声,又能有效地防止语音失真。该估计器自适应值为β,具有比PM估计器更好的降噪性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
β -order perceptually motivated MMSE estimation for speech enhancement
This paper derives a β -order perceptually motivated minimum mean square error (MMSE) spectral estimator of the short-time spectral magnitude of speech, aimed to improve the performance in speech enhancement. The performance of the proposed estimators with different values of β has been evaluated by two kinds of objective measures. We have also compared the waveforms of perceptually motivated MMSE (PM) estimated speech and β -order PM estimated speech. The results showed the proposed estimator with different constant β value could focus on either noise reduction or preventing speech distortion. With an adaptive value of β, the proposed estimator have better performance in noise reduction than PM estimator.
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