This letter proposes a time-domain method to improve speech intelligibility in noisy scenarios. In the proposed approach, a series of Gammatone filters are adopted to detect the harmonic components of speech. The filters outputs are amplified to emphasize the first harmonics, reducing the masking effects of acoustic noises. The proposed GTFF0 solution and two baseline techniques are examined considering four background noises with different non-stationarity degrees. Three intelligibility measures (ESTOI, ESII and ASIIST) are adopted for objective evaluation. The experiments results show that the proposed scheme leads to expressive speech intelligibility gain when compared to the competing approaches. Furthermore, the PESQ and OQCM objective scores demonstrate that the proposed technique also provides interesting quality improvement.

中文翻译：

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基于 F0 的伽马通滤波可提高声学噪声信号的清晰度


这封信提出了一种时域方法来提高噪声场景中的语音清晰度。在所提出的方法中，采用一系列伽马通滤波器来检测语音的谐波分量。滤波器输出被放大以强调一次谐波，从而减少噪声的掩蔽效应。考虑到具有不同非平稳度的四种背景噪声，对所提出的 GTFF0 解决方案和两种基线技术进行了检查。采用三种清晰度测量（ESTOI、ESII 和 ASIIST）进行客观评估。实验结果表明，与竞争方法相比，所提出的方案可带来富有表现力的语音清晰度增益。此外，PESQ 和 OQCM 客观分数表明所提出的技术还提供了有趣的质量改进。