Department of Communicative Sciences and Disorders, New York University, 665 Broadway, 9th floor, New York, New York 10012, USA
Department of Linguistics, Ohio State University, 1712 Neil Avenue, Oxley Hall, Columbus, Ohio 43210, USA
J Acoust Soc Am. 2018 Dec;144(6):EL497. doi: 10.1121/1.5081469.
Whereas previous research has found that a Familiar Talker Advantage-better spoken language perception for familiar voices-occurs following explicit voice-learning, Case, Seyfarth, and Levi [(2018). J. Speech, Lang., Hear. Res. (5), 1251-1260] failed to find this effect after voice-learning. To test whether the advantage is limited to explicit voice-learning, a follow-up experiment evaluated implicit voice-learning under more similar encoding (training) and retrieval (test) conditions. Sentence recognition in noise improved significantly more for familiar than unfamiliar talkers, suggesting that short-term implicit voice-learning can lead to a Familiar Talker Advantage. This paper explores how similarity in encoding and retrieval conditions might affect the acquired processing advantage.
虽然之前的研究发现,在经过明确的语音学习后,会出现熟悉说话者优势——对熟悉声音的口语感知更好——但 Case、Seyfarth 和 Levi [(2018)。J. Speech, Lang., Hear. Res. (5), 1251-1260] 在语音学习后并未发现这种效果。为了测试这种优势是否仅限于明确的语音学习,后续实验在更相似的编码(训练)和检索(测试)条件下评估了隐性语音学习。在噪声中,句子识别对熟悉说话者的改善明显大于不熟悉说话者,这表明短期的隐性语音学习可以产生熟悉说话者优势。本文探讨了编码和检索条件的相似性如何影响获得的处理优势。