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快速感知学习:不利条件下语音感知个体差异的潜在来源?

Rapid Perceptual Learning: A Potential Source of Individual Differences in Speech Perception Under Adverse Conditions?

机构信息

Department of Communication Sciences and Disorders, University of Haifa.

出版信息

Trends Hear. 2020 Jan-Dec;24:2331216520930541. doi: 10.1177/2331216520930541.

Abstract

Challenging listening situations (e.g., when speech is rapid or noisy) result in substantial individual differences in speech perception. We propose that rapid auditory perceptual learning is one of the factors contributing to those individual differences. To explore this proposal, we assessed rapid perceptual learning of time-compressed speech in young adults with normal hearing and in older adults with age-related hearing loss. We also assessed the contribution of this learning as well as that of hearing and cognition (vocabulary, working memory, and selective attention) to the recognition of natural-fast speech (NFS; both groups) and speech in noise (younger adults). In young adults, rapid learning and vocabulary were significant predictors of NFS and speech in noise recognition. In older adults, hearing thresholds, vocabulary, and rapid learning were significant predictors of NFS recognition. In both groups, models that included learning fitted the speech data better than models that did not include learning. Therefore, under adverse conditions, rapid learning may be one of the skills listeners could employ to support speech recognition.

摘要

在具有挑战性的听力环境(例如,语音语速较快或环境嘈杂)中,语音感知存在很大的个体差异。我们提出,快速听觉感知学习是导致这些个体差异的因素之一。为了探索这一假设,我们评估了正常听力的年轻成年人和与年龄相关的听力损失的老年成年人对时间压缩语音的快速感知学习。我们还评估了这种学习以及听力和认知(词汇、工作记忆和选择性注意)对自然快速语音(NFS;两个组)和噪声中的语音识别的贡献。在年轻成年人中,快速学习和词汇是 NFS 和噪声中语音识别的重要预测因素。在老年人中,听力阈值、词汇和快速学习是 NFS 识别的重要预测因素。在这两个组中,包含学习的模型比不包含学习的模型更能拟合语音数据。因此,在不利条件下,快速学习可能是听众用来支持语音识别的技能之一。

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