一种判断高度负责控制系统操作员心理情绪状态的语音可理解度方法

A. Alimuradov, A. Tychkov, P. Churakov
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引用次数: 2

摘要

本文提出了一种评价具有高度责任感的控制系统操作人员心理情绪状态的方法。该方法的本质是将语音信号自适应分解为具有相同清晰度的频带,使用改进的带自适应噪声的完全集成经验模式分解,并使用共振峰分析确定共振峰可理解性,以及这些频带中共振峰区域的频率、宽度、水平和质量因子。给出了分解的数学描述和该方法的简化框图。这项研究是在18岁到79岁之间的健康人群和有心理情绪障碍的男性和女性的语音信号的基础上进行的。研究结果表明,所建立的方法对心理情绪障碍的检测准确率较高,第一类的误差为8.16%,第二类的误差为5.66%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A method to Determine Speech Intelligibility for Estimating Psycho-Emotional State of Control System Operators with a High Degree of Responsibility
The paper presents a method for assessing psycho-emotional state of control system operators with a high degree of responsibility. The nature of the method is an adaptive decomposition of a speech signal into frequency bands of equal articulation, using the improved complete ensemble empirical mode decomposition with adaptive noise, and determination of formant intelligibility, as well as frequency, width, level, and quality factor of formant regions in these bands using formant analysis. A mathematical description of the decomposition and a simplified block diagram of the proposed method are briefly presented. The study was conducted using the formed base of phonetically balanced speech signals recorded in healthy people, and people with psycho-emotional disorders, both male and female, aged from 18 to 79. According to the results of the study, the developed method provides a high detection accuracy of psycho-emotional disorders: the error of the first kind is 8.16%, and the error of the second kind is 5.66%.
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