This letter proposes a new time domain absorption approach designed to reduce masking components of speech signals under noisy-reverberant conditions. In this method, the non-stationarity of corrupted signal segments is used to detect masking distortions based on a defined threshold. The non-stationarity is objectively measured and is also adopted to determine the absorption procedure. Additionally, no prior knowledge of speech statistics or room information is required for this technique. Two intelligibility measures (ESII and ASII$_{\text{ST}}$) are used for objective evaluation. The results show that the proposed scheme leads to a higher intelligibility improvement when compared to competing methods. A perceptual listening test is further considered and corroborates these results. Furthermore, the updated version of the SRMR quality measure (SRMR$_{\rm norm}$) demonstrates that the proposed technique also attains quality improvement.

中文翻译：

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自适应混响吸收使用非平稳掩蔽组件检测来提高清晰度

这封信提出了一种新的时域吸收方法，旨在减少噪声混响条件下语音信号的掩蔽分量。在该方法中，损坏信号段的非平稳性用于基于定义的阈值检测掩蔽失真。非平稳性是客观测量的，也用于确定吸收程序。此外，该技术不需要语音统计或房间信息的先验知识。两种可懂度测量（ESII 和 ASII）$_{\text{ST}}$) 用于客观评价。结果表明，与竞争方法相比，所提出的方案导致更高的可懂度改进。进一步考虑了感知听力测试并证实了这些结果。此外，更新版本的 SRMR 质量度量（SRMR$_{\rm norm}$) 表明所提出的技术也实现了质量改进。