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How do we perceive noisy and noise-reduced speech?

机译:我们如何感知嘈杂和降低噪音的语音?

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It is important for speech applications to quantify the intelligibility and the quality of speech. There are some means of evaluating the intelligibility and the quality objectively and subjectively. The objective evaluation is economical, but the general-use distortion measure is not available. On the other hand, the subjective evaluation requires a cost-consuming formal listening test. The right evaluation should be carried out in the right purpose. No almighty methodology has been established at the moment. In this paper, brain activities involved in evaluating the noisy and noise-reduced speech are measured using the functional magnetic resonance imaging (fMRI) technique. It is found that the brain activity in evaluating the noise-reduced speech varies depending on the noise reduction approach. The noise-reduced signals, which are obtained by the linear processing such as the delay-and-sum beam forming, calm down the brain activity compared with the noisy speech signals. On the other hands, non-linear signal processing such as the spectral subtraction activates the auditory cortex intensely. It is necessary for designing the advanced speech distortion measure to independently consider how the noise is removed and how the speech is distorted by noise reduction.
机译:对于语音应用而言,量化语音的清晰度和质量非常重要。有一些方法可以客观和主观地评估清晰度和质量。客观评估是经济的,但是无法使用通用失真度量。另一方面,主观评估需要花费大量费用的正式听力测试。正确的评估应该以正确的目的进行。目前尚无万能的方法论。在本文中,使用功能磁共振成像(fMRI)技术来测量与评估嘈杂和降低噪音的语音有关的大脑活动。结果发现,评估降噪语音的大脑活动随降噪方法的不同而不同。通过线性处理(例如延迟和求和波束形成)获得的降噪信号与嘈杂的语音信号相比,可以使大脑活动平静。另一方面,非线性信号处理(例如频谱减法)会强烈激活听觉皮层。设计高级语音失真度量时,有必要独立考虑如何通过降噪消除噪声以及如何使语音失真。

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