基于mtf的功率包络恢复中的统一去噪去噪方法

M. Unoki, Xugang Lu
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引用次数: 4

摘要

最近的语音增强方法被提出来抑制背景噪声和混响的影响。在这些方法中,背景噪声的影响被认为是加性的,混响的影响是卷积的。因此,降噪和去噪的方法被分别串联应用。我们之前在调制传递函数(MTF)概念中统一了噪声和混响的影响,并提出了一种同时去除噪声和混响影响的方法。本文从数学和定量上进一步验证了我们提出的方法。此外,在数学分析的基础上,将模型推广到四种实际应用场景,分别对应于噪声混响条件下的远场和近场情况。针对噪声混响语音去噪去噪的四种应用场景,分别进行了1.2万次仿真,客观评价了所提出的方法。实验结果表明,该方法能较好地实现混响噪声的去噪和去噪。
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Unified denoising and dereverberation method used in restoration of MTF-based power envelope
Recent methods of speech enhancement have been proposed to suppress the effects of background noise and reverberation. The effect of background noise in these methods is regarded as additive and that of reverberation is convolutive. Therefore, methods of reducing noise and dereverberation have been applied separately in tandem. We previously unified the effects of noise and reverberation in the modulation transfer function (MTF) concept and we proposed an approach to simultaneously removing the effects of noise and reverberation. This paper further verifies our proposed approach, mathematically and quantitatively. In addition, we generalized the model to four types of real application scenarios, which corresponded to far and near field conditions under noisy reverberant conditions, based on mathematical analysis. We carried out 12,000 simulations for each according to the four application scenarios for denoising and dereverberating noisy reverberant speech, and objectively evaluated the proposed approach. The experimental results revealed that the proposed approach worked well in simultaneously denoising and dereverberating noisy reverberant speech.
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