Differential neural contributions to native- and foreign-language talker identification.

Differential neural contributions to native- and foreign-language talker identification.
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对本地和外语说话者认同的差异神经贡献。

DOI:
10.1037/a0015869
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发表时间:
2009-12
影响因子:
2.1
通讯作者:
Wong, Patrick C. M.
Wong, Patrick C. M.
中科院分区:
心理学3区
文献类型:
--
作者:
Perrachione, Tyler K.;Pierrehumbert, Janet B.;Wong, Patrick C. M.

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人类非常擅长通过声音来识别个人,这是一种由神经系统整合声音和言语感知信息的能力支持的行为。当听者对所讲的语言不熟悉时,说话者的识别能力会受到严重损害。最近的行为研究描述了语言熟悉度效应,涉及功能整合的神经系统的语音和声音感知,但具体的神经科学证据表明,这种整合的基础还没有被证明。在本研究中,听众学会了识别说熟悉(母语)或不熟悉(外语)的声音。在每个大脑半球的神经回路的讲话者识别性能进行了评估,使用分听。为了确定在每个半球的电路生态(双耳)说话识别能力的相对贡献,我们比较了双耳性能的预测能力的双耳性能跨语言。我们发现听众的右耳(左半球)的表现是一个更好的预测整体准确性在他们的母语比一个外国的。增强的预测能力的经典语言占主导地位的左半球的整体说话人识别的准确性表明功能集成的神经系统的语音和声音感知自然说话人识别。
Humans are remarkably adept at identifying individuals by the sound of their voice, a behavior supported by the nervous system’s ability to integrate information from voice and speech perception. Talker-identification abilities are significantly impaired when listeners are unfamiliar with the language being spoken. Recent behavioral studies describing the language-familiarity effect implicate functionally integrated neural systems for speech and voice perception, yet specific neuroscientific evidence demonstrating the basis for such integration has not yet been shown. Listeners in the present study learned to identify voices speaking a familiar (native) or unfamiliar (foreign) language. The talker-identification performance of neural circuitry in each cerebral hemisphere was assessed using dichotic listening. To determine the relative contribution of circuitry in each hemisphere to ecological (binaural) talker identification abilities, we compared the predictive capacity of dichotic performance on binaural performance across languages. We found listeners’ right-ear (left hemisphere) performance to be a better predictor of overall accuracy in their native language than a foreign one. The enhanced predictive capacity of the classically language-dominant left-hemisphere on overall talker-identification accuracy demonstrates functionally integrated neural systems for speech and voice perception during natural talker identification.
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