从语音信号看人的情绪紧张

Q4 Computer Science
Y. G. Gorshkov
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引用次数: 0

摘要

本文介绍了利用先进的多层次小波分析技术对语音信号进行情绪紧张程度评估的研究成果。指出了测谎系统在人员心理生理检测中的不足。根据国内外专家所获得的数据,我们可以自信地得出一个结论:一个人的口语特征与其身体状况的变化有关。考虑了硬件和软件综合体«Icar实验室»(俄罗斯)在评估说话者情绪状态方面的特点,以及计算机语音应力分析仪CVSA(美国)。提出了一种新的非接触式技术,用于利用语音声调部分获得的压力生物标志物来评估一个人的情绪紧张程度。开发了用于获取语音信号高精度时频特性的WaveView-VSA程序。提出了将情绪紧张程度可视化的开发程序的可能性。形成并处理了六年级学生在考试和毕业设计答辩中情绪压力增加的录音数据库。莫斯科国立鲍曼技术大学科学教育医学技术中心进行的这项研究表明,在快速心脏诊断过程中,获得实时超声心动图数据和被检查学生情绪紧张程度的基本可能性。这项已开发的技术根据持续几秒钟的语音信号提供压力的生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visualization of a Person's Emotional Tension by a Speech Signal
The article presents the results of research on the assessment of human emotional tension by a speech signal using the developed technology of multilevel wavelet analysis. The disadvantages of polygraph systems during psychophysiological inspections of personnel are given. The data obtained by domestic and foreign experts allow us to make a confident conclusion that the characteristics of a person's oral speech correlate with changes in their condition. The characteristics of the hardware and software complex «Icar Lab» (Russia) in assessing the emotional state of the speaker, as well as the computer voice stress analyzer CVSA (USA) are considered. A new contactless technology is proposed for assessing the level of emotional tension of a person using stress biomarkers obtained on the tonal parts of speech. The WaveView-VSA program for obtaining high-precision time-frequency characteristics of a speech signal has been developed. The possibilities of the developed program for visualizing the level of emotional tension are presented. A database of audio recordings of 6th-year students who are in conditions with increased emotional stress during the exam and the defense of the graduation project has been formed and processed. The research conducted by the Scientific and Educational Medical and Technological Center of the Bauman Moscow State Technical University showed the fundamental possibility of obtaining real-time acoustocardiography data and the level of emotional tension in the examined students during express cardiodiagnostics. The developed technology provides biomarkers of stress based on a speech signal lasting several seconds.
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来源期刊
Scientific Visualization
Scientific Visualization Computer Science-Computer Vision and Pattern Recognition
CiteScore
1.30
自引率
0.00%
发文量
20
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