Department of Communication Sciences and Disorders, University of South Carolina, 1705 College Street, Columbia, South Carolina 29208, USA.
Department of Speech, Language, Hearing, and Occupational Sciences, University of Montana, 32 Campus Drive, Missoula, Montana 59812,
J Acoust Soc Am. 2020 Feb;147(2):EL189. doi: 10.1121/10.0000748.
The current study investigated how partial speech and text information, distributed at various interruption rates, is combined to support sentence recognition in quiet. Speech and text stimuli were interrupted by silence and presented unimodally or combined in multimodal conditions. Across all conditions, performance was best at the highest interruption rates. Listeners were able to gain benefit from most multimodal presentations, even when the rate of interruption was mismatched between modalities. Supplementing partial speech with incomplete visual cues can improve sentence intelligibility and compensate for degraded speech in adverse listening conditions. However, individual variability in benefit depends on unimodal performance.
本研究探讨了在安静环境中,以不同中断率分布的部分语音和文本信息是如何结合起来支持句子识别的。语音和文本刺激被静音打断,并以单模态或多模态的方式呈现。在所有条件下,在最高中断率下表现最好。即使在模态之间的中断率不匹配的情况下,听众也能够从大多数多模态呈现中受益。用不完整的视觉线索补充部分语音可以提高句子的可懂度,并补偿不利聆听条件下的语音退化。然而,受益的个体差异取决于单模态性能。