论文标题
要模拟范围还是不去模板？关于实时取代目标的感知研究
To Dereverb Or Not to Dereverb? Perceptual Studies On Real-Time Dereverberation Targets
论文作者
论文摘要
在现实生活中，房间效应，也称为房间混响，当前的背景噪音降低了语音质量。最近，基于深度学习的语音增强方法表现出了很多希望，并超过了传统的DeNoising和Dereverberation方法。还可以很好地确定，这些最先进的deno化算法可显着提高人类听众所感知的语音质量。但是，脊椎化在主观（感知的）语音质量上的作用，以及遗产引入的其他伪像是否导致弊大于利的危害仍然不清楚。在本文中，我们试图通过在全面的主观评估研究中评估最先进的语音增强系统的状态来回答这些问题，以实现不同选择验证目标。
In real life, room effect, also known as room reverberation, and the present background noise degrade the quality of speech. Recently, deep learning-based speech enhancement approaches have shown a lot of promise and surpassed traditional denoising and dereverberation methods. It is also well established that these state-of-the-art denoising algorithms significantly improve the quality of speech as perceived by human listeners. But the role of dereverberation on subjective (perceived) speech quality, and whether the additional artifacts introduced by dereverberation cause more harm than good are still unclear. In this paper, we attempt to answer these questions by evaluating a state of the art speech enhancement system in a comprehensive subjective evaluation study for different choices of dereverberation targets.
