声源中多因素变化性鲁棒的居家老年人精神状态分析方法研究

项目名称： 声源中多因素变化性鲁棒的居家老年人精神状态分析方法研究

项目编号： No.61503081

项目类型： 青年科学基金项目

立项/批准年度： 2016

项目学科： 自动化技术、计算机技术

项目作者： 黄永明

作者单位： 东南大学

项目金额： 19万元

中文摘要： 国家“十二五”老年人规划中，将老年人的心理健康摆在突出位置，为了能使机器人代替心理医生的作用，让机器人正确分析老年人的精神状态为其中的核心技术。本课题通过老年人语音情感识别来分析老年人精神状态，在实际应用过程中，用于老年人情感识别的声源中说话人是未知的，录音环境是不同的，年龄和词汇有差异，甚至有老年人说话带有方言，这些因素的变化性给语音情感识别带来不利影响。本课题旨在研究居家老年人声源中多因素变化性鲁棒的情感识别，拟给出一系列关键技术：(1)(2)(3)为具有精神抚慰功能的助老机器人的研发及产品化提供技术支撑。项目研究对保障老年人身心健康,构建和谐社会具有重要意义。本项目主要内容：(1)基于局部补偿策略的声源变化性鲁棒的老年人语音情感特征提取；(2)基于全局补偿策略的声源变化性鲁棒的老年人语音情感分类器构建；(3)基于局部与全局综合补偿及模糊隶属度的声源变化性鲁棒的老年人语音复合情感识别。

中文关键词： 声源中多因素变化性鲁棒；老年人语音复合情感识别；偏差补偿；因素分析模型；稀疏表示

英文摘要： In the 12th Five Year National Plan for the elderly, the psychological health of the aged people is placed in prominent place. To replace psychologists, the key technology is emotion recognition of the elderly. Our subject analyze the mental state of the elderly by the speech emotion recognition.However,duiring the practical application, the speaker of the speech source, which is used for the recognition of the elderly speech emotion, is unkown and the recoding environment as well as the training samples are different. Sometimes, there are also differences between languages. What's more, some old people speak with tongues. These differences will bring adverse effect to the process of actual emotion recognition. This subject aims at researching the emotion recognition based on the robustness of multi-factor variabilable speech source and proposes a series of key technologies: (1)(2)(3) provide technical support for the development and productization of helpage robots that give spiritual comfort to the elderly.Hence, this subject has great significance for ensuring physical and spiritual health of the elderly as well as for the construction of a harmonious society.The main content of this project are:.(1)The elderly speech emotion feature extration in the robustness of multi-factor variabilable speech source based on local compensation strategy..(2)The elderly speech emotion recognition classifier in the robustness of multi-factor variabilable speech source based on global compensation strategy..(3)The elderly complex speech emotion recognition in the robustness of multi-factor variabilable speech source based on the combination of local and global compensation and fuzzy membership degree.

英文关键词： the robustness of multi-factor variabilable speech source; elderly complex speech emotion recognition;the compensation of deviation;factor analysis model;sparse representation