Instituto de Neurociencias de Castilla y León, Universidad de Salamanca, 37007 Salamanca, Spain; Instituto de Investigación Biomédica de Salamanca, Universidad de Salamanca, 37007 Salamanca, Spain.
Instituto de Neurociencias de Castilla y León, Universidad de Salamanca, 37007 Salamanca, Spain; Instituto de Investigación Biomédica de Salamanca, Universidad de Salamanca, 37007 Salamanca, Spain; Departamento de Cirugía, Facultad de Medicina, Universidad de Salamanca, 37007 Salamanca, Spain.
Cognition. 2019 Nov;192:103992. doi: 10.1016/j.cognition.2019.06.004. Epub 2019 Jun 26.
In difficult listening situations, such as in noisy environments, one would expect speech intelligibility to improve over time thanks to noise adaptation and/or to speech predictability facilitating the recognition of upcoming words. We tested this possibility by presenting normal-hearing human listeners (N = 100; 70 women) with sentences and measuring word recognition as a function of word position in a sentence. Sentences were presented in quiet and in competition with various masker sounds at individualized levels where listeners had 50% probability of recognizing a full sentence. Contrary to expectations, recognition was best for the first word and gradually deteriorated with increasing word position along the sentence. The worsening in recognition was unlikely due to differences in word audibility or word type and was uncorrelated with age or working memory capacity. Using a probabilistic model of word recognition, we show that the worsening effect probably occurs because misunderstandings generate inaccurate predictions that outweigh the benefits from accurate predictions. Analyses also revealed that predictions overruled the potential benefits from noise adaptation. We conclude that although speech predictability can facilitate sentence recognition, it can also result in declines in word recognition as the sentence unfolds because of inaccuracies in prediction.
在困难的听力环境中,例如嘈杂的环境中,人们会期望语音清晰度随着时间的推移而提高,这得益于噪声适应和/或语音可预测性有助于识别即将到来的单词。我们通过向正常听力的人类听众(N=100;70 名女性)呈现句子并测量句子中单词位置的单词识别来测试这种可能性。句子在安静环境中和与各种掩蔽声音竞争下呈现,掩蔽声音的水平是个性化设置的,听众有 50%的概率识别出完整的句子。与预期相反,识别效果最佳的是第一个单词,随着句子位置的增加,识别效果逐渐恶化。识别效果的恶化不太可能是由于单词可听度或单词类型的差异造成的,并且与年龄或工作记忆容量无关。使用单词识别的概率模型,我们表明恶化效应可能是由于误解产生的不准确预测超过了准确预测的好处。分析还表明,预测会推翻来自噪声适应的潜在好处。我们得出结论,尽管语音可预测性可以促进句子识别,但由于预测不准确,随着句子的展开,单词识别也可能会下降。