论文标题
基于F0的伽马酮过滤，以获得声学信号的清晰度增益
F0-based Gammatone Filtering for Intelligibility Gain of Acoustic Noisy Signals
论文作者
论文摘要
本文提出了一种时间域方法，以在嘈杂的情况下提高语音清晰度。在拟议的方法中，采用了一系列γ滤波器来检测语音的谐波组成部分。放大过滤器输出以强调第一个谐波，从而减少声音噪声的掩蔽效果。考虑到具有不同的非平稳性度的四个背景噪声，对所提出的GTFF0解决方案和两种基线技术进行了检查。采用三种可理解措施（ESTOI，ESII和ASIIST）进行客观评估。实验结果表明，与竞争方法相比，提出的方案会导致表达性语音可理解性提高。此外，PESQ和WSS客观分数表明，所提出的技术还提供了有趣的质量改进。
This paper 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 WSS objective scores demonstrate that the proposed technique also provides interesting quality improvement.
