MARCS Auditory Laboratories, University of Western Sydney, NSW, 1797, Australia.
J Acoust Soc Am. 2012 Feb;131(2):1480-9. doi: 10.1121/1.3672703.
Cochlear implant (CI) users in tone language environments report great difficulty in perceiving lexical tone. This study investigated the augmentation of simulated cochlear implant audio by visual (facial) speech information for tone. Native speakers of Mandarin and Australian English were asked to discriminate between minimal pairs of Mandarin tones in five conditions: Auditory-Only, Auditory-Visual, CI-simulated Auditory-Only, CI-simulated Auditory-Visual, and Visual-Only (silent video). Discrimination in CI-simulated audio conditions was poor compared with normal audio, and varied according to tone pair, with tone pairs with strong non-F0 cues discriminated the most easily. The availability of visual speech information also improved discrimination in the CI-simulated audio conditions, particularly on tone pairs with strong durational cues. In the silent Visual-Only condition, both Mandarin and Australian English speakers discriminated tones above chance levels. Interestingly, tone-naïve listeners outperformed native listeners in the Visual-Only condition, suggesting firstly that visual speech information for tone is available, and may in fact be under-used by normal-hearing tone language perceivers, and secondly that the perception of such information may be language-general, rather than the product of language-specific learning. This may find application in the development of methods to improve tone perception in CI users in tone language environments.
在声调语言环境中,人工耳蜗使用者报告说在感知声调方面存在很大困难。本研究调查了通过视觉(面部)言语信息对声调进行模拟人工耳蜗音频增强的效果。要求以普通话为母语的人和以英语为母语的澳大利亚人在五种条件下辨别普通话声调的最小对:仅听觉、听觉-视觉、模拟人工耳蜗仅听觉、模拟人工耳蜗听觉-视觉和仅视觉(无声视频)。与正常音频相比,在模拟人工耳蜗音频条件下的辨别能力较差,并且根据声调对的不同而有所不同,具有强非 F0 线索的声调对最容易辨别。视觉言语信息的可用性也提高了模拟人工耳蜗音频条件下的辨别能力,特别是在具有强时长线索的声调对上。在无声的仅视觉条件下,以普通话为母语的人和以英语为母语的澳大利亚人都能辨别出声调,超过了随机水平。有趣的是,在仅视觉条件下,声调新手听众的表现优于母语听众,这首先表明,声调的视觉言语信息是可用的,实际上可能被正常听力的声调语言感知者所忽略,其次,这种信息的感知可能是语言普遍的,而不是语言特定学习的产物。这可能会在开发改善声调语言环境中人工耳蜗使用者声调感知的方法方面得到应用。