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语音范畴激活可预测重音语音感知适应的方向和程度。

Phonetic category activation predicts the direction and magnitude of perceptual adaptation to accented speech.

机构信息

Department of Psychology.

出版信息

J Exp Psychol Hum Percept Perform. 2022 Sep;48(9):913-925. doi: 10.1037/xhp0001037. Epub 2022 Jul 18.

DOI:10.1037/xhp0001037
PMID:35849375
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10236200/
Abstract

Unfamiliar accents can systematically shift speech acoustics away from community norms and reduce comprehension. Yet, limited exposure improves comprehension. This perceptual adaptation indicates that the mapping from acoustics to speech representations is dynamic, rather than fixed. But, what drives adjustments is debated. Supervised learning accounts posit that activation of an internal speech representation via disambiguating information generates predictions about patterns of speech input typically associated with the representation. When actual input mismatches predictions, the mapping is adjusted. We tested two hypotheses of this account across consonants and vowels as listeners categorized speech conveying an English-like acoustic regularity or an artificial accent. Across conditions, signal manipulations impacted which of two acoustic dimensions best conveyed category identity, and predicted which dimension would exhibit the effects of perceptual adaptation. Moreover, the strength of phonetic category activation, as estimated by categorization responses reliant on the dominant acoustic dimension, predicted the magnitude of adaptation observed across listeners. The results align with predictions of supervised learning accounts, suggesting that perceptual adaptation arises from speech category activation, corresponding predictions about the patterns of acoustic input that align with the category, and adjustments in subsequent speech perception when input mismatches these expectations. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

摘要

不熟悉的口音会系统性地使语音声学偏离社区规范,从而降低理解能力。然而,有限的接触可以提高理解能力。这种感知适应表明,从声学到语音表示的映射是动态的,而不是固定的。但是,驱动调整的因素存在争议。监督学习假说认为,通过消除歧义的信息激活内部语音表示,会生成与表示通常相关的语音输入模式的预测。当实际输入与预测不匹配时,映射就会被调整。我们通过两种假设检验了这一假设,分别是听众在分类传达英语样声学规律或人为口音的语音时对辅音和元音的影响。在所有条件下,信号处理都会影响哪两个声学维度最能传达类别身份,并预测哪个维度会表现出感知适应的影响。此外,通过依赖主导声学维度的分类反应来估计语音类别激活的强度,预测了跨听众观察到的适应程度。结果与监督学习假设一致,表明感知适应源于语音类别激活,以及与类别一致的关于声学输入模式的预测,以及在输入与这些期望不匹配时对后续语音感知的调整。(PsycInfo 数据库记录(c)2022 APA,保留所有权利)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6db/10236200/22dd7ec4e341/nihms-1900535-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6db/10236200/42b274bb5637/nihms-1900535-f0001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6db/10236200/22dd7ec4e341/nihms-1900535-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6db/10236200/42b274bb5637/nihms-1900535-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6db/10236200/0fb7d3cc6dca/nihms-1900535-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6db/10236200/b5682f84c0bb/nihms-1900535-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6db/10236200/9a8a4623370b/nihms-1900535-f0004.jpg
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