语音类别学习:模型、方法与相关研究

doi:10.16382/j.cnki.1000-5560.2017.04.012

华东师范大学学报(教育科学版) ›› 2017, Vol. 35 ›› Issue (4): 115-121+138+139.doi: 10.16382/j.cnki.1000-5560.2017.04.012

语音类别学习:模型、方法与相关研究

邢强, 刘凯

广州大学教育学院, 广州 510006

出版日期:2017-08-20 发布日期:2017-07-07
基金资助:
国家自然科学基金项目"反馈对知觉类别学习影响的认知神经机制"（31571144）；广东省"创新强校"工程特色创新项目"类别学习多系统转换的认知神经机制"（2014GXJK059）；广东省教育厅项目"教育神经科学视野下的类别学习反馈机制研究"（2013WYXM0095）。

Speech Category Learning: Models, Methods and Researches

XING Qiang, LIU Kai

School of Education, Guangzhou University, Guangzhou 510006, China

Online:2017-08-20 Published:2017-07-07

摘要/Abstract

摘要： 语音类别学习是人类重要的认知机制之一，其能降低认知负荷、加快学习速度，以使人更好适应环境。双系统模型是当前语音类别学习的主要理论模型，它假设语音类别学习存在着相互竞争的两个系统，即外显学习系统和内隐学习系统；语音类别学习的研究主要针对人工语音材料和自然性的普通话材料，采用延迟反馈和及时反馈、丰富反馈和简单反馈、组合式发音和随机混合式发音等方式来探讨语音类别学习外显和内隐系统的特点。已有研究主要探究语音类别学习中工作记忆的作用，普通话分类习得和不同人群的语音类别学习特点，未来研究应注意谨慎借鉴知觉类别学习的研究成果，并可在认知研究、老年人视听问题等方面进一步加强。

关键词: 类别学习, 语音, 双系统模型

Abstract: Speech category learning is one of the most important cognitive mechanisms in human beings. At present, the main theoretical model of speech category learning is the dual system model, which includes explicit hypothesis testing reflective system and implicit procedure based reflexive system. Researches in speech category learning mainly aim at the artificial auditory stimuli and natural Mandarin Chinese. They should dissociate the reflective system and reflexive system to verify the existence of dual system model. In the current study, delayed feedback and immediate feedback, full feedback and minimal feedback, blocked talkers and mixed talkers are all used to explore the characteristic of reflective system, so do reflexive system. Despite the achievements in speech category learning, it is important to note that the research findings in perceptual category learning should be initroduced in speech category learning carefully in the future research. The cognitive mechanism and learning ability of the elderly, children, bilinguals can also be further studied.

Key words: category learning, speech, dual system model

邢强, 刘凯. 语音类别学习:模型、方法与相关研究[J]. 华东师范大学学报(教育科学版), 2017, 35(4): 115-121+138+139.

XING Qiang, LIU Kai. Speech Category Learning: Models, Methods and Researches[J]. Journal of East China Normal University(Educationa, 2017, 35(4): 115-121+138+139.

参考文献

孟春国. (2004). Krashen情感过滤假说的解构与重建. 天津外国语大学学报, 11(3), 73-76.
邵志芳. (2006).认知心理学——理论、实验和应用.上海:上海教育出版社.
Ashby, F. G., & Maddox, W. T. (2005).Human category learning. Annual Review of Psychology, 56, 149-178.
Ashby, F. G., & Maddox, W. T. (2011). Human category learning 2.0.Annals of the New York Academy of Sciences, 1224, 147-161.
Ashby, F. G., Paul, E., & Maddox, W. T. (2011).COVIS. In E. M. Pothos & A.J. Wills (Eds.), Formal approaches in categorization. New York:Cambridge University Press.
Chandrasekaran. B., Koslov, S. R., & Maddox, W. T. (2014).Toward a dual-learning systems models of speech category learning. Frontiers in Psychology, 5, 1-17.
Chandrasekaran, B., Yi H.-G. & Maddox, W. T. (2014). Dual-learning systems during speech category learning. Psychonomic Bulletin and Review,21,488-495.
DeCaro, M.S., Thomas, R. D., & Beilock, S. L. (2008).Individual differences in category learning:Sometimes less working memory capacity is better than more. Cognition, 107, 284-294.
Filoteo, J. V., Lauritzen, J. S., & Maddox, W. T. (2010). Removing the frontal lobes:the effects of engaging executive functions on perceptual category learning.Psychology.Science,21, 415-423.
Maddox, W. T., & Ashby, F. G. (2004). Dissociating explicit and procedural-learning based systems of perceptual category learning. Behavioral Processes,66, 309-332.
Maddox, W. T., Ashby, F. G., & Bohil, C. J. (2003). Delayed feedback effects on rule-based and information-integration category learning. Journal of Experimental Psychology:Learning, Memory, and Cognition, 29, 650-662.
Maddox,W.T., Ashby,F.G., Ing,A.D., & Pickering,A.D. (2004).Disrupting feedback processing interferes with rule-based but not information-integration category learning. Memory & Cognition,32(4), 582-591.
Maddox,W.T., & Chandrasekaran,B. (2014).Tests of a dual-system model of speech category learning. Bilingualism:Language and Cognition, 17(4),709-728.
Maddox W.T., Chandrasekaran, B., Smayda K., & Yi, H.-G. (2013).Dual systems of speech category learning across the lifespan. Psychology and Aging,28,1042-1056.
Maddox, W. T., Chandrasekaran, B., Smayda, K., Yi, H. -G., Koslov, S., & Beevers, C. G. (2014). Elevated depressive symptoms enhance reflexive but not reflective auditory category learning. Cortex, 58, 186-198.
Maddox,W.T., & Ing, A.D. (2005). Delayed feedback disrupts the procedural-learning system but not the hypothesis-testing system in perceptual category learning. Journal of Experimental Psychology Learning Memory & Cognition, 31(1), 100-107.
Maddox,W. T., Love, B. C., Glass, B. D., & Filoteo, J.V. (2008).When more is less:Feedback effects in perceptual category learning.Cognition,108, 578-589.
Miles, S. J., Matsuki, K., & Minda, J. P. (2014). Continuous executive function disruption interferes with application of an information integration categorization strategy. Attention Perception & Psychophysics, 76(5), 1318-1334.
Vouloumanos, A., & Waxman, S.R. (2014). Listen up! Speech is for thinking during infancy. Trends in Cognitive Sciences,18(12),642-646.
Waldron, E. M., & Ashby, F. G. (2001). The effects of concurrent task interference on category learning:Evidence for multiple category learning systems. Psychonomic Bulletin & Review, 8(1), 168-176.
Xie,Z.,Yi,H.G.,& Chandrasekaran,B. (2014).Nonnative audiovisual speech perception in noise:Dissociable effects of the speaker and listener. PloS One, 9(12), e114439.
Zeithamova, D., & Maddox, W. T. (2006). Dual task interference in perceptual category learning. Memory & Cognition, 34, 387-398.
Zeithamova, D., & Maddox, W. T. (2007). The role of visuo-spatial and verbal working memory in perceptual category learning. Memory & Cognition, 35, 1380-1398.

[1]	阴国恩, 丁小斌. 不同类别学习任务的差异[J]. 华东师范大学学报(教育科学版), 2008, 26(4): 61-67.
[2]	徐光兴. 认知神经心理学中“二重通路模式”与阅读障碍关系的研究[J]. 华东师范大学学报(教育科学版), 2005, 23(4): 59-64.

语音类别学习:模型、方法与相关研究

Speech Category Learning: Models, Methods and Researches

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