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Linking Speech Perception and Neurophysiology: Speech Decoding Guided by Cascaded Oscillators Locked to the Input Rhythm

机译:链接语音知觉和神经生理学:由级联的振荡器指导的语音解码锁定到输入节律

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摘要

The premise of this study is that current models of speech perception, which are driven by acoustic features alone, are incomplete, and that the role of decoding time during memory access must be incorporated to account for the patterns of observed recognition phenomena. It is postulated that decoding time is governed by a cascade of neuronal oscillators, which guide template-matching operations at a hierarchy of temporal scales. Cascaded cortical oscillations in the theta, beta, and gamma frequency bands are argued to be crucial for speech intelligibility. Intelligibility is high so long as these oscillations remain phase locked to the auditory input rhythm. A model (Tempo) is presented which is capable of emulating recent psychophysical data on the intelligibility of speech sentences as a function of “packaging” rate (Ghitza and Greenberg, 2009). The data show that intelligibility of speech that is time-compressed by a factor of 3 (i.e., a high syllabic rate) is poor (above 50% word error rate), but is substantially restored when the information stream is re-packaged by the insertion of silent gaps in between successive compressed-signal intervals – a counterintuitive finding, difficult to explain using classical models of speech perception, but emerging naturally from the Tempo architecture.
机译:这项研究的前提是,仅由声学特征驱动的当前语音感知模型是不完整的,并且必须结合解码时间在内存访问过程中的作用以解决观察到的识别现象的模式。假定解码时间由级联的神经元振荡器控制,该级联在时间尺度的层次上指导模板匹配操作。据认为,theta,β和gamma频带中的级联皮层振荡对于语音清晰度至关重要。只要这些振荡保持与听觉输入节奏的相位锁相即可,清晰度就很高。提出了一个模型(Tempo),该模型能够模拟最近关于语音句子清晰度的心理物理数据,作为“包装”率的函数(Ghitza和Greenberg,2009)。数据显示,时间压缩了3倍(即高的音节率)的语音清晰度很差(字错误率超过50%),但是当通过在连续的压缩信号间隔之间插入无声间隙–这是违反直觉的发现,很难用经典的语音感知模型来解释,但是自然地从Tempo架构中出现。

著录项

  • 作者

    Ghitza, Oded;

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  • 年度 2011
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  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
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