Department for General Psychology and Cognitive Neuroscience, Institute of Psychology, Friedrich Schiller University of Jena, Am Steiger 3/1, 07743 Jena, Germany; Department of Experimental Otorhinolaryngology, Jena University Hospital, Stoystrasse 3, 07743 Jena, Germany.
Department for General Psychology and Cognitive Neuroscience and DFG Research Unit Person Perception, Institute of Psychology, Friedrich Schiller University of Jena, Am Steiger 3/1, 07743 Jena, Germany.
Brain Res. 2019 May 15;1711:214-225. doi: 10.1016/j.brainres.2019.01.028. Epub 2019 Jan 24.
Recent electrophysiological evidence suggests a rapid acquisition of novel speaker representations during intentional voice learning. We investigated effects of learning intention on voice recognition, using a variant of the directed forgetting paradigm. In an old/new recognition task following voice learning, we compared performance and event-related brain potentials (ERPs) for studied voices, half of which had been prompted to be remembered (TBR) or forgotten (TBF). Furthermore, to assess incidental encoding of episodic information, participants indicated for each recognized test voice the ear of presentation during study. During study, TBR voices elicited more positive ERPs than TBF voices (from ∼250 ms), possibly reflecting deeper voice encoding. In parallel, subsequent recognition performance was higher for TBR than for TBF voices. Importantly, above-chance recognition for both learning conditions nevertheless suggested a degree of non-intentional voice learning. In a surprise episodic memory test for voice location, above-chance performance was observed for TBR voices only, suggesting that episodic memory for ear of presentation depended on intentional voice encoding. At test, a left posterior ERP OLD/NEW effect for both TBR and TBF voices (from ∼500 ms) reflected recognition of studied voices under both encoding conditions. By contrast, a right frontal ERP OLD/NEW effect for TBF voices only (from ∼800 ms) possibly reflected additional elaborative retrieval processes. Overall, we show that ERPs are sensitive 1) to strategic voice encoding during study (from ∼250 ms), and 2) to voice recognition at test (from ∼500 ms), with the specific pattern of ERP OLD/NEW effects partly depending on previous encoding intention.
最近的电生理学证据表明,在有意的语音学习过程中,新的说话者的代表可以快速被获取。我们通过改变定向遗忘范式,研究了学习意图对语音识别的影响。在语音学习后的旧/新识别任务中,我们比较了被提示要记住(TBR)或忘记(TBF)的研究语音的表现和事件相关脑电位(ERPs)。此外,为了评估情景信息的偶然编码,参与者在每个识别的测试语音旁边指示研究期间的呈现耳。在研究期间,与 TBF 声音相比,TBR 声音引发了更积极的 ERPs(约 250ms),这可能反映了更深入的声音编码。同时,随后的识别性能对于 TBR 声音比对 TBF 声音更高。重要的是,对于这两种学习条件,高于机会的识别仍然表明存在一定程度的非有意语音学习。在对语音位置的意外情景记忆测试中,仅在 TBR 声音上观察到高于机会的表现,这表明对呈现耳的情景记忆取决于有意的语音编码。在测试中,对于 TBR 和 TBF 声音都存在左后 ERP OLD/NEW 效应(约 500ms),这反映了在这两种编码条件下对研究语音的识别。相比之下,只有 TBF 声音存在右额 ERP OLD/NEW 效应(约 800ms),这可能反映了额外的详尽检索过程。总体而言,我们表明 ERPs 1)对研究期间的策略性语音编码敏感(约 250ms),2)对测试时的语音识别敏感(约 500ms),并且特定的 ERP OLD/NEW 效应模式部分取决于先前的编码意图。