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Proceedings Paper

Visualizations by acoustics of voice stress: Is there an optical mucosal wave correlate?
Author(s): G. Demenko; M. Jastrzebska; Krzysztof Izdebski; Yuling Yan
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Paper Abstract

We present data on how stress is manifested in the human voice by analyzing acoustic and phonetic structure of life recordings from police 997 emergency call center number in Poland. From the data corpus comprising thousands of authentic Police 997 emergency phone calls, a few hundred were automatically selected according to their duration selection criteria (calls shorter than 3-4 seconds were omitted), and finally from this corpus, voices of 45 speakers were chosen for acoustic analysis and were contrasted to neutral samples. Statistical measurements for stressed and neutral speech samples showed relevance of the arousal dimension in stress processing. The MDVP analysis confirmed statistical significance of following parameters in voice stress detection: fundamental frequency and pitch variation, noise-to-harmonic-ratio, sub-harmonics and voice irregularities. In highly stressful conditions a systematic over-one-octave shift in pitch was observed. Linear Discriminant Analysis based on nine acoustic features showed that it is possible to categorize the speech samples into one of the following classes: male stressed or neutral, or female stressed or neutral.

Paper Details

Date Published: 16 May 2012
PDF: 9 pages
Proc. SPIE 8207, Photonic Therapeutics and Diagnostics VIII, 82072M (16 May 2012); doi: 10.1117/12.916778
Show Author Affiliations
G. Demenko, Poznan Computing Ctr. (Poland)
Adam Mickiewicz Univ. in Poznan (Poland)
M. Jastrzebska, Adam Mickiewicz Univ. in Poznan (Poland)
Krzysztof Izdebski, Pacific Voice and Speech Foundation (United States)
Santa Clara Univ. (United States)
Yuling Yan, Santa Clara Univ. (United States)


Published in SPIE Proceedings Vol. 8207:
Photonic Therapeutics and Diagnostics VIII
Anita Mahadevan-Jansen; Andreas Mandelis; Kenton W. Gregory; Nikiforos Kollias; Hyun Wook Kang; Henry Hirschberg; Melissa J. Suter; Brian Jet-Fei Wong; Justus F. Ilgner; Stephen Lam; Bodo E. Knudsen; Steen Madsen; E. Duco Jansen; Bernard Choi; Guillermo J. Tearney; Laura Marcu; Haishan Zeng; Matthew Brenner; Krzysztof Izdebski, Editor(s)

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