Simeon Katherine M, Bicknell Klinton, Grieco-Calub Tina M
The Roxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, United States.
Department of Linguistics, Northwestern University, Evanston, IL, United States.
Front Psychol. 2018 Feb 8;9:116. doi: 10.3389/fpsyg.2018.00116. eCollection 2018.
Individuals use semantic expectancy - applying conceptual and linguistic knowledge to speech input - to improve the accuracy and speed of language comprehension. This study tested how adults use semantic expectancy in quiet and in the presence of speech-shaped broadband noise at -7 and -12 dB signal-to-noise ratio. Twenty-four adults (22.1 ± 3.6 years, mean ±) were tested on a four-alternative-forced-choice task whereby they listened to sentences and were instructed to select an image matching the sentence-final word. The semantic expectancy of the sentences was unrelated to (neutral), congruent with, or conflicting with the acoustic target. Congruent expectancy improved accuracy and conflicting expectancy decreased accuracy relative to neutral, consistent with a theory where expectancy shifts beliefs toward likely words and away from unlikely words. Additionally, there were no significant interactions of expectancy and noise level when analyzed in log-odds, supporting the predictions of ideal observer models of speech perception.
个体运用语义预期——将概念和语言知识应用于语音输入——来提高语言理解的准确性和速度。本研究测试了成年人在安静环境以及存在语音塑造的宽带噪声且信噪比分别为-7 dB和-12 dB的情况下如何运用语义预期。24名成年人(平均年龄22.1±3.6岁)参与了一项四选一强制选择任务测试,他们聆听句子,并被要求选择与句末单词匹配的图像。句子的语义预期与声学目标无关(中性)、一致或冲突。与中性情况相比,一致的预期提高了准确性,冲突的预期降低了准确性,这与一种理论相符,即预期会使信念向可能的单词转移,远离不太可能的单词。此外,当以对数几率进行分析时,预期和噪声水平之间没有显著的交互作用,这支持了语音感知理想观察者模型的预测。