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首页> 外文期刊>The Journal of the Acoustical Society of America >Combining partial information from speech and text
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Combining partial information from speech and text

机译:将部分信息与语音和文本组合

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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.
机译:目前的研究调查了如何在各种中断速率下分发的部分语音和文本信息,组合以在安静的情况下支持句子识别。 语音和文本刺激因沉默而被中断,并在多式化条件下呈现单身或组合。 在所有条件下,性能最高的中断率最高。 即使在模式之间不匹配时,听众也能够获得大多数多模型演示的益处。 补充不完整的视觉提示的部分演讲可以改善句子可懂度并补偿不利收听条件的降级语音。 然而,有益的个体变异取决于单峰性能。

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