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跨模态说话人身份学习的迁移。

Cross-modal transfer of talker-identity learning.

机构信息

Department of Psychology, University of California, Riverside, Riverside, CA, 92521, USA.

出版信息

Atten Percept Psychophys. 2021 Jan;83(1):415-434. doi: 10.3758/s13414-020-02141-9. Epub 2020 Oct 20.

DOI:10.3758/s13414-020-02141-9
PMID:33083986
Abstract

A speech signal carries information about meaning and about the talker conveying that meaning. It is now known that these two dimensions are related. There is evidence that gaining experience with a particular talker in one modality not only facilitates better phonetic perception in that modality, but also transfers across modalities to allow better phonetic perception in the other. This finding suggests that experience with a talker provides familiarity with some amodal properties of their articulation such that the experience can be shared across modalities. The present study investigates if experience with talker-specific articulatory information can also support cross-modal talker learning. In Experiment 1 we show that participants can learn to identify ten novel talkers from point-light and sinewave speech, expanding on prior work. Point-light and sinewave speech also supported similar talker identification accuracies, and similar patterns of talker confusions were found across stimulus types. Experiment 2 showed these stimuli could also support cross-modal talker matching, further expanding on prior work. Finally, in Experiment 3 we show that learning to identify talkers in one modality (visual-only point-light speech) facilitates learning of those same talkers in another modality (auditory-only sinewave speech). These results suggest that some of the information for talker identity takes a modality-independent form.

摘要

语音信号携带着关于意义和说话者传达该意义的信息。现在已知这两个维度是相关的。有证据表明,在一种模态中获得特定说话者的经验不仅可以促进该模态中更好的语音感知,而且还可以跨模态转移,从而允许在另一种模态中更好地感知语音。这一发现表明,说话者的经验提供了对其发音某些非模态属性的熟悉程度,从而可以在模态之间共享经验。本研究调查了说话者特定发音信息的经验是否也可以支持跨模态说话者学习。在实验 1 中,我们表明参与者可以从光点和正弦波语音中学习识别十个新的说话者,这是对先前工作的扩展。光点和正弦波语音也支持类似的说话者识别准确性,并且在刺激类型之间发现了类似的说话者混淆模式。实验 2 表明,这些刺激也可以支持跨模态说话者匹配,进一步扩展了先前的工作。最后,在实验 3 中,我们表明,在一种模态(仅视觉光点语音)中识别说话者的学习有助于在另一种模态(仅听觉正弦波语音)中学习相同的说话者。这些结果表明,说话者身份的一些信息采用了独立于模态的形式。

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