Acoustic analysis of speech under stress

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...

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Published in:International journal of bioinformatics research and applications Vol. 11; no. 5; p. 417
Main Authors: Sondhi, Savita, Khan, Munna, Vijay, Ritu, Salhan, Ashok K, Chouhan, Satish
Format: Journal Article
Language:English
Published: Switzerland 2015
Subjects:
formant frequency
stressed speech
stressful conversation
FFT
chirp transform
bioinformatics
pitch modulation
acoustic analysis
voice stress analysis
fundamental frequency
emotional stress
psycho-physiological stress
ISSN:1744-5485
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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.
AbstractList 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.
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.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.
Author Sondhi, Savita
Chouhan, Satish
Khan, Munna
Vijay, Ritu
Salhan, Ashok K
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  organization: 1 Department of Electrical, Electronics & Communication Engineering, ITM University, Gurgaon 122017, Haryana, India
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  givenname: Munna
  surname: Khan
  fullname: Khan, Munna
  organization: 2 Department of Electrical Engineering, Jamia Millia Islamia (Central University), New Delhi 110025, India
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  fullname: Vijay, Ritu
  organization: 3 Department of Electronics, Banasthali University, Banasthali 304022, Rajasthan, India
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  givenname: Ashok K
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  organization: 4 Biomedical Instrumentation Division, Defence Institute of Physiology and Allied Sciences (DIPAS), DRDO, Timarpur, New Delhi 110054, India
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  givenname: Satish
  surname: Chouhan
  fullname: Chouhan, Satish
  organization: 5 Biomedical Instrumentation Division, Defence Institute of Physiology and Allied Sciences (DIPAS), DRDO, Timarpur, New Delhi 110054, India
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Issue 5
Keywords formant frequency
stressed speech
stressful conversation
FFT
chirp transform
bioinformatics
pitch modulation
acoustic analysis
voice stress analysis
fundamental frequency
emotional stress
psycho-physiological stress
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