听觉选择性注意的认知神经机制与显著性计算模型

计算机科学 ›› 2013, Vol. 40 ›› Issue (6): 283-287.

听觉选择性注意的认知神经机制与显著性计算模型

刘扬,张苗辉,郑逢斌

河南大学智能技术与系统重点实验室开封475004;上海交通大学图像处理与模式识别研究所上海200240;河南大学智能技术与系统重点实验室开封475004

出版日期:2018-11-16 发布日期:2018-11-16
基金资助:
本文受国家航天局遥感论证中心项目(科工技2010A03A0800),河南大学自然科研基金(2010YBZR046),河南大学第11批教学改革重点项目资助

Cognitive Neural Mechanisms and Saliency Computational Model of Auditory Selective Attention

LIU Yang,ZHANG Miao-hui and ZHENG Feng-bin

Online:2018-11-16 Published:2018-11-16

摘要/Abstract

摘要： 根据听觉认知神经信息处理的结构和功能, 借鉴图像处理原理实现显著性计算方法,提出了一种基于选择性注意的认知神经机制的听觉显著性计算模型。该模型兼容了自上而下和自下而上两种听觉注意机制,可很好地模拟人类的听觉注意系统。在仿真和自然音频实验中,本模型在选择性注意的显著性提取、背景音抑制等方面都取得了令人满意的结果。

关键词: 听觉注意,选择性注意,听觉显著图,听觉模型,认知神经计算

Abstract: According to structure and function of auditory cognitive neural information processing,a new auditory saliency computing model based on mechanisms of selective attention cognitive neural was proposed in this paper,and referring to principle of image processing,algorithms of auditory saliency were presented．This model simulates both the bottom-up and top-down human auditory attention mechanism．In selective attention saliency extraction and background noise restrain,the model has achieved satisfactory results in simulation and natural audio experiments．

Key words: Auditory attention,Selective attention,Auditory saliency map,Auditory model,Cognitive neural computing

刘扬,张苗辉,郑逢斌. 听觉选择性注意的认知神经机制与显著性计算模型[J]. 计算机科学, 2013, 40(6): 283-287. https://doi.org/

LIU Yang,ZHANG Miao-hui and ZHENG Feng-bin. Cognitive Neural Mechanisms and Saliency Computational Model of Auditory Selective Attention[J]. Computer Science, 2013, 40(6): 283-287. https://doi.org/

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