Laboratory for Language Development, RIKEN Brain Science Institute, Saitama, Japan.
Laboratoire de Sciences Cognitives et Psycholinguistique, Département d'Études Cognitives de l'Ecole Normale Supérieure, École des Hautes Études en Sciences Sociales, Centre National de la Recherche Scientifique SIERRA Project-Team, Département d'Informatique de l'Ecole Normale Supérieure, Institut National de Recherche en Informatique et en Automatique, Centre National de la Recherche Scientifique.
Psychol Sci. 2015 Mar;26(3):341-7. doi: 10.1177/0956797614562453. Epub 2015 Jan 28.
Infants learn language at an incredible speed, and one of the first steps in this voyage is learning the basic sound units of their native languages. It is widely thought that caregivers facilitate this task by hyperarticulating when speaking to their infants. Using state-of-the-art speech technology, we addressed this key theoretical question: Are sound categories clearer in infant-directed speech than in adult-directed speech? A comprehensive examination of sound contrasts in a large corpus of recorded, spontaneous Japanese speech demonstrates that there is a small but significant tendency for contrasts in infant-directed speech to be less clear than those in adult-directed speech. This finding runs contrary to the idea that caregivers actively enhance phonetic categories in infant-directed speech. These results suggest that to be plausible, theories of infants' language acquisition must posit an ability to learn from noisy data.
婴儿以令人难以置信的速度学习语言,在这个过程中的第一步是学习他们母语的基本语音单位。人们普遍认为,照顾者在与婴儿说话时会过度发音,从而帮助他们完成这项任务。我们利用最先进的语音技术解决了这个关键的理论问题:在婴儿指向的语音中,语音类别是否比成人指向的语音更清晰?对大量记录的自然日语语音的全面检查表明,婴儿指向的语音中的对比确实存在但很小,不如成人指向的语音清晰。这一发现与照顾者积极增强婴儿指向的语音中的语音类别这一观点相矛盾。这些结果表明,为了具有合理性,婴儿语言习得理论必须假设他们有从嘈杂数据中学习的能力。