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Temporal factors in cochlea-scaled entropy and intensity-based intelligibility predictions

机译:基于Cochlea-Scaled熵和基于强度的可懂度预测的时间因素

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摘要

Cochlea-scaled entropy (CSE) was proposed as a signal-based metric for automatic detection of speech regions most important for intelligibility, but its proposed superiority over traditional linguistic and psychoacoustical characterisations was not subsequently confirmed. This paper shows that the CSE concept is closely related to intensity and as such captures similar speech regions. However, a slight but significant advantage of a CSE over an intensity-based characterisation was observed, associated with a time difference between the two metrics, suggesting that the CSE index may capture dynamical properties of the speech signal crucial for intelligibility. (C) 2018 Acoustical Society of America
机译:提出了基于Cochlea-Scaled熵(CSE)作为基于信号的标准,用于自动检测语音区域,最重要的是可理解性,但随后不会确认其对传统语言和心理调度的提出的优势。 本文表明,CSE概念与强度密切相关,并且如此捕获类似的语音区域。 然而,观察到基于强度的表征的CSE的轻微但显着的优点,与两个度量之间的时间差相关联,表明CSE指数可以捕获语音信号的动态特性至关重要的可懂度。 (c)2018年声学学会

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    Univ Grenoble Alpes CNRS Lab Grenoble Images Parole Signal Automat F-38402 St Martin Dheres France;

    Univ Basque Country Language &

    Speech Lab Vitoria 01006 Spain;

    Western Sydney Univ MARCS Inst Brain Behav &

    Dev Locked Bag 1797 Penrith NSW 2751 Australia;

    Western Sydney Univ MARCS Inst Brain Behav &

    Dev Locked Bag 1797 Penrith NSW 2751 Australia;

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  • 正文语种 eng
  • 中图分类 声学;
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