首页> 中文期刊> 《计算机技术与发展》 >一种基于声音分类学习的神经模型研究

一种基于声音分类学习的神经模型研究

         

摘要

语音感知能力是人类感知系统的一个重要方面.在婴儿时期,随着婴儿对母语音位的不断接触和学习,会产生分类感知和知觉磁效应现象,这与自组织特征映射的经典表述相矛盾.文中提出了一种能对这种现象进行解释的神经模型,并通过模型的仿真实验证明了该模型的可行性和正确性.模型进一步预测磁效应的产生是因为原型元音比非原型元音有更小的听觉皮层表示,通过功能磁共振成像实验对模型提出的预测进行了论证.%Speech perception is an important part of the perception system. The category learning during infancy leads to the phenomena such as categorical perception and the perceptual magnet effect, which conflicts with the classical formulation of a self-organizing feature map. It proposes a model to explain this phenomenon and the simulation of model proves the feasibility and correctness of this model. The model further predicts that the magnet effect arises because prototypical vowels have smaller auditory cortical representations than non-prototypical vowels, which was supported by a functional magnetic resonance imaging( fMRI) experiment.

著录项

相似文献

  • 中文文献
  • 外文文献
  • 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