Department of Communicative Disorders and Deaf Education, Utah State University, Logan, Utah 84321, USA.
J Acoust Soc Am. 2018 Jan;143(1):281. doi: 10.1121/1.5021254.
The effect of background noise on intelligibility of disordered speech was assessed. Speech-shaped noise was mixed with neurologically healthy (control) and disordered (dysarthric) speech at a series of signal-to-noise ratios. In addition, bandpass filtered control and dysarthric speech conditions were assessed to determine the effect of noise on both naturally and artificially degraded speech. While significant effects of both the amount of noise and the type of speech were revealed, no interaction between the two factors was observed, in either the broadband or filtered testing conditions. Thus, it appears that there is no multiplicative effect of the presence of background noise on intelligibility of disordered speech relative to control speech. That is, the decrease in intelligibility due to increasing levels of noise is similar for both types of speech, and both types of testing conditions, and the function for dysarthric speech is simply shifted downward due to the inherent source degradations of the speech itself. Last, large-scale online crowdsourcing via Amazon Mechanical Turk was utilized to collect data for the current study. Findings and implications for this data and data collection approach are discussed.
评估了背景噪声对言语清晰度的影响。将语音噪声与神经健康(对照组)和言语障碍(构音障碍)的语音混合,在一系列信噪比下进行测试。此外,还评估了带通滤波的对照组和构音障碍组的语音条件,以确定噪声对自然和人为降低的语音的影响。虽然发现噪声量和语音类型都有显著影响,但在宽带或滤波测试条件下,这两个因素之间没有观察到相互作用。因此,与对照组相比,背景噪声对言语障碍语音的可懂度似乎没有相乘效应。也就是说,由于噪声水平的增加而导致的可懂度下降对于两种类型的语音和两种类型的测试条件都是相似的,构音障碍语音的函数只是由于语音本身的固有源退化而向下移动。最后,通过亚马逊 Mechanical Turk 进行了大规模的在线众包,为当前的研究收集数据。讨论了这些数据和数据收集方法的结果和意义。