首页> 外文会议>Seventh Neural Computation and Psychology Workshop Sep 17-19, 2001 Brighton, England >SYLLABIC PHASE: A BOTTOM-UP REPRESENTATION OF THE TEMPORAL STRUCTURE OF SPEECH
【24h】

SYLLABIC PHASE: A BOTTOM-UP REPRESENTATION OF THE TEMPORAL STRUCTURE OF SPEECH

机译:音节阶段:言语时间结构的自下而上表示

获取原文
获取原文并翻译 | 示例

摘要

This paper concerns the perception of syllable structure and the way this process allows us to form structural representations of syllables in memory. It is argued that bottom-up processes are required for the formation of phonological representations of nonwords in short-term memory, and of words in early childhood, where top-down knowledge concerning syllable structure cannot be assumed. A new model is presented using signal processing techniques to show that representations of syllable structure can be developed from acoustic information, without top-down input. The model is motivated by psycholinguistic data and theory, expressed at the level of a putative neural mechanism, and supported by recent neurophysiological and brain imaging data. It describes syllable structure not in terms of events (e.g., syllable boundaries) or phonological frames with discrete slots, but in terms of a continuously varying measure of syllable position: syllabic phase. The validity of the model is demonstrated using a corpus of spoken sentences from the TIMIT database. Implications of the model for theories of phonological memory and developmental dyslexia are discussed. On the basis of recent functional imaging and neurophysiological studies, the neural basis for the proposed mechanism is hypothesized to be in the posterior Superior Temporal Sulcus.
机译:本文涉及音节结构的感知以及此过程允许我们在内存中形成音节的结构表示的方式。有人认为,自下而上的过程是短期记忆中非单词和幼儿期单词的语音表示形式形成所必需的,在这些语言中,不能假设有关音节结构的自上而下的知识。提出了一种使用信号处理技术的新模型,以表明可以从声学信息中发展出音节结构的表示,而无需自上而下的输入。该模型受心理语言学数据和理论的推动,在假定的神经机制水平上表达,并得到最新的神经生理学和脑成像数据的支持。它不是根据事件(例如音节边界)或具有离散时隙的音系来描述音节结构,而是根据音节位置的连续变化量度来描述:音节相位。使用TIMIT数据库中的口头语料集证明了该模型的有效性。讨论了该模型对语音记忆和发育障碍的理论的影响。根据最近的功能影像学和神经生理学研究,该机制的神经基础被假设为位于颞后沟后方。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号