摘要翻译：
音系学通常用离散的符号如特征来描述语音。语调音系学领域使用离散的重音来描述语调和韵律。但是，这样的表示有用吗？模拟实验结果表明，离散符号不能很好地表征语调轮廓的形状。人类的行为似乎更好地用吸引子来表示，在吸引子中，记忆保留了关于一个话语的大量精细细节。没有证据表明可能形成的离散抽象表征对随后产生的言语有影响。本文还讨论了从吸引子模型中产生离散音系的条件，以及为什么在不隐含离散音系的情况下可以推断声调吸引子。
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英文标题：
《Using Mimicry to Learn about Mental Representations》
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作者：
Greg Kochanski
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最新提交年份：
2012
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分类信息：

一级分类：Computer Science        计算机科学
二级分类：Sound        声音
分类描述：Covers all aspects of computing with sound, and sound as an information channel. Includes models of sound, analysis and synthesis, audio user interfaces, sonification of data, computer music, and sound signal processing. Includes ACM Subject Class H.5.5, and intersects with H.1.2, H.5.1, H.5.2, I.2.7, I.5.4, I.6.3, J.5, K.4.2.
涵盖了声音计算的各个方面，以及声音作为一种信息通道。包括声音模型、分析和合成、音频用户界面、数据的可听化、计算机音乐和声音信号处理。包括ACM学科类H.5.5，并与H.1.2、H.5.1、H.5.2、I.2.7、I.5.4、I.6.3、J.5、K.4.2交叉。
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一级分类：Quantitative Biology        数量生物学
二级分类：Other Quantitative Biology        其他定量生物学
分类描述：Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
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英文摘要：
  Phonology typically describes speech in terms of discrete signs like features. The field of intonational phonology uses discrete accents to describe intonation and prosody. But, are such representations useful? The results of mimicry experiments indicate that discrete signs are not a useful representation of the shape of intonation contours. Human behaviour seems to be better represented by a attractors where memory retains substantial fine detail about an utterance. There is no evidence that discrete abstract representations that might be formed that have an effect on the speech that is subsequently produced. This paper also discusses conditions under which a discrete phonology can arise from an attractor model and why - for intonation - attractors can be inferred without the implying a discrete phonology.
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PDF链接：
https://arxiv.org/pdf/1204.3236