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为什么说话人的变异性会阻碍听众?

Why are listeners hindered by talker variability?

机构信息

Department of Psychology, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA, 15213, USA.

出版信息

Psychon Bull Rev. 2024 Feb;31(1):104-121. doi: 10.3758/s13423-023-02355-6. Epub 2023 Aug 14.

DOI:10.3758/s13423-023-02355-6
PMID:37580454
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10864679/
Abstract

Though listeners readily recognize speech from a variety of talkers, accommodating talker variability comes at a cost: Myriad studies have shown that listeners are slower to recognize a spoken word when there is talker variability compared with when talker is held constant. This review focuses on two possible theoretical mechanisms for the emergence of these processing penalties. One view is that multitalker processing costs arise through a resource-demanding talker accommodation process, wherein listeners compare sensory representations against hypothesized perceptual candidates and error signals are used to adjust the acoustic-to-phonetic mapping (an active control process known as contextual tuning). An alternative proposal is that these processing costs arise because talker changes involve salient stimulus-level discontinuities that disrupt auditory attention. Some recent data suggest that multitalker processing costs may be driven by both mechanisms operating over different time scales. Fully evaluating this claim requires a foundational understanding of both talker accommodation and auditory streaming; this article provides a primer on each literature and also reviews several studies that have observed multitalker processing costs. The review closes by underscoring a need for comprehensive theories of speech perception that better integrate auditory attention and by highlighting important considerations for future research in this area.

摘要

尽管听众可以轻松识别来自各种说话者的语音,但适应说话者的变化是有代价的:众多研究表明,与说话者保持不变相比,当说话者变化时,听众识别口语单词的速度会变慢。本篇综述主要关注两种可能的理论机制,这些机制解释了这些处理惩罚的出现。一种观点认为,多说话者处理成本是通过资源需求的说话者适应过程产生的,在该过程中,听众将感觉表示与假设的感知候选者进行比较,并使用错误信号来调整声学到语音的映射(一种称为上下文调谐的主动控制过程)。另一种观点认为,这些处理成本的出现是因为说话者的变化涉及到明显的刺激水平不连续性,从而破坏了听觉注意力。一些最近的数据表明,多说话者处理成本可能是由在不同时间尺度上运行的两种机制驱动的。要充分评估这一说法,需要对说话者适应和听觉流进行基础理解;本文提供了对这两个文献的介绍,并回顾了几项观察到多说话者处理成本的研究。该综述最后强调了需要更全面的语音感知理论来更好地整合听觉注意力,并强调了该领域未来研究的重要考虑因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db9c/10866792/b50274531136/13423_2023_2355_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db9c/10866792/b50274531136/13423_2023_2355_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db9c/10866792/b50274531136/13423_2023_2355_Fig1_HTML.jpg

相似文献

1
Why are listeners hindered by talker variability?为什么说话人的变异性会阻碍听众?
Psychon Bull Rev. 2024 Feb;31(1):104-121. doi: 10.3758/s13423-023-02355-6. Epub 2023 Aug 14.
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Talker familiarity and the accommodation of talker variability.说话人熟悉度与说话人变异性的顺应。
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Acoustic differences, listener expectations, and the perceptual accommodation of talker variability.声学差异、听众期望与说话者变异性的感知适应。
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本文引用的文献

1
Right Posterior Temporal Cortex Supports Integration of Phonetic and Talker Information.右后颞叶皮层支持语音和说话者信息的整合。
Neurobiol Lang (Camb). 2023 Mar 8;4(1):145-177. doi: 10.1162/nol_a_00091. eCollection 2023.
2
The Role of the Right Hemisphere in Processing Phonetic Variability Between Talkers.右半球在处理说话者之间语音变异性方面的作用。
Neurobiol Lang (Camb). 2021 Feb 1;2(1):138-151. doi: 10.1162/nol_a_00028. eCollection 2021.
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Multiple sources of acoustic variation affect speech processing efficiency.多种声学变异源影响言语处理效率。
J Acoust Soc Am. 2023 Jan;153(1):209. doi: 10.1121/10.0016611.
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Attention, task demands, and multitalker processing costs in speech perception.注意、任务需求以及多说话人处理在言语感知中的代价。
J Exp Psychol Hum Percept Perform. 2021 Dec;47(12):1673-1680. doi: 10.1037/xhp0000963.
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Active inference, selective attention, and the cocktail party problem.主动推断、选择性注意和鸡尾酒会问题。
Neurosci Biobehav Rev. 2021 Dec;131:1288-1304. doi: 10.1016/j.neubiorev.2021.09.038. Epub 2021 Oct 21.
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Talker discontinuity disrupts attention to speech: Evidence from EEG and pupillometry.说话人不连续性会干扰对言语的注意:来自 EEG 和瞳孔测量的证据。
Brain Lang. 2021 Oct;221:104996. doi: 10.1016/j.bandl.2021.104996. Epub 2021 Aug 3.
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Selecting among competing models of talker adaptation: Attention, cognition, and memory in speech processing efficiency.在相互竞争的说话者适应模型中进行选择:语音处理效率中的注意力、认知与记忆
Cognition. 2020 Nov;204:104393. doi: 10.1016/j.cognition.2020.104393. Epub 2020 Jul 17.
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EARSHOT: A Minimal Neural Network Model of Incremental Human Speech Recognition.耳听为实:人类语音识别的增量式神经网络最小模型
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Brain Lang. 2020 Feb;201:104722. doi: 10.1016/j.bandl.2019.104722. Epub 2019 Dec 10.
10
Time and information in perceptual adaptation to speech.言语知觉适应中的时间和信息。
Cognition. 2019 Nov;192:103982. doi: 10.1016/j.cognition.2019.05.019. Epub 2019 Jun 21.