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Adaptive Stimulation Method Used to Improve the Auditory-Verbal Education Procedure

机译:自适应刺激方法用于改善听觉-言语教育程序

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The paper presents an adaptive stimulation algorithm designed to be implemented in an automated software application that is used in auditory-verbal education. The algorithm is able to adapt in real-time the distribution of image-sound stimuli emission according to the performance of the subject during the training sessions. This procedure is an improvement of the classical unbiased training methodology, in which all the stimuli are even (uniform) generated regardless the auditory knowledge cumulated by the subject during the training stages. The proposed methodology generates the stimuli in a differential (not uniform) manner in such a way to emphasise the learning process for the incorrect associated image-sound inputs and to force the subject to memorize it faster and, on the other side, to reduce the stimulation of sounds that were already learnt, for which we try only to refresh (to keep warm) the information already cumulated.
机译:本文提出了一种自适应刺激算法,该算法设计用于在听觉-语言教学中使用的自动化软件应用程序中。该算法能够根据训练期间受试者的表现实时调整图像声音刺激发射的分布。此过程是对经典无偏训练方法的改进,在该方法中,无论受训者在训练阶段累积的听觉知识如何,所有刺激都是均匀(均匀)生成的。所提出的方法以一种差异(非均匀)的方式生成刺激,从而强调针对不正确的关联图像声音输入的学习过程,并迫使对象更快地记忆它,另一方面,减少对象的记忆。刺激已经学习的声音,为此,我们仅尝试刷新(保持温暖)已经积累的信息。

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