Acoustic analysis of speech under stress

Q4 Health Professions

International Journal of Bioinformatics Research and Applications Pub Date : 2015-09-01 DOI:10.1504/IJBRA.2015.071942

Savita Sondhi, Munna Khan, R. Vijay, A. Salhan, Satish Chouhan

引用次数: 16

Abstract

When a person is emotionally charged, stress could be discerned in his voice. This paper presents a simplified and a non-invasive approach to detect psycho-physiological stress by monitoring the acoustic modifications during a stressful conversation. Voice database consists of audio clips from eight different popular FM broadcasts wherein the host of the show vexes the subjects who are otherwise unaware of the charade. The audio clips are obtained from real-life stressful conversations (no simulated emotions). Analysis is done using PRAAT software to evaluate mean fundamental frequency (F0) and formant frequencies (F1, F2, F3, F4) both in neutral and stressed state. Results suggest that F0 increases with stress; however, formant frequency decreases with stress. Comparison of Fourier and chirp spectra of short vowel segment shows that for relaxed speech, the two spectra are similar; however, for stressed speech, they differ in the high frequency range due to increased pitch modulation.

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重音语音的声学分析

当一个人情绪激动时，可以从他的声音中分辨出压力。本文提出了一种简化的、非侵入性的方法，通过监测压力谈话过程中的声学变化来检测心理生理应激。语音数据库由8个不同的流行调频广播的音频片段组成，其中节目的主持人惹恼了那些不知道字谜的受试者。这些音频片段来自现实生活中的压力对话(没有模拟的情绪)。分析使用PRAAT软件来评估中性和应力状态下的平均基频(F0)和形成峰频率(F1, F2, F3, F4)。结果表明，F0随应力增大而增大;而峰频率随应力的增加而减小。短元音片段的傅立叶谱和啁啾谱比较表明，在轻松语音中，两种谱相似;然而，对于重读语音，由于音调调制的增加，它们在高频范围内有所不同。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Bioinformatics Research and Applications Health Professions-Health Information Management

CiteScore

0.60

自引率

0.00%

发文量

期刊介绍： Bioinformatics is an interdisciplinary research field that combines biology, computer science, mathematics and statistics into a broad-based field that will have profound impacts on all fields of biology. The emphasis of IJBRA is on basic bioinformatics research methods, tool development, performance evaluation and their applications in biology. IJBRA addresses the most innovative developments, research issues and solutions in bioinformatics and computational biology and their applications. Topics covered include Databases, bio-grid, system biology Biomedical image processing, modelling and simulation Bio-ontology and data mining, DNA assembly, clustering, mapping Computational genomics/proteomics Silico technology: computational intelligence, high performance computing E-health, telemedicine Gene expression, microarrays, identification, annotation Genetic algorithms, fuzzy logic, neural networks, data visualisation Hidden Markov models, machine learning, support vector machines Molecular evolution, phylogeny, modelling, simulation, sequence analysis Parallel algorithms/architectures, computational structural biology Phylogeny reconstruction algorithms, physiome, protein structure prediction Sequence assembly, search, alignment Signalling/computational biomedical data engineering Simulated annealing, statistical analysis, stochastic grammars.