Psychological Stress Detection in Speech Using Return-to-opening Phase Ratios in Glottis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F15%3APU115748" target="_blank" >RIV/00216305:26220/15:PU115748 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.5755/j01.eee.21.5.13336" target="_blank" >http://dx.doi.org/10.5755/j01.eee.21.5.13336</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5755/j01.eee.21.5.13336" target="_blank" >10.5755/j01.eee.21.5.13336</a>
Alternative languages
Result language
angličtina
Original language name
Psychological Stress Detection in Speech Using Return-to-opening Phase Ratios in Glottis
Original language description
This paper is focused on investigation of psychological stress in speech signal using shapes of normalised glottal pulses. The pulses were estimated by two algorithms: the Direct Inverse Filtering and Iterative and Adaptive Inverse Filtering. Normalised glottal pulses are divided into opening and return phase, and a feature vector characterizing each glottal pulse is calculated for a series of n percentage interval in time domain. Each feature vector is created by parameters describing its return to opening phase ratio, namely chosen intervals, kurtosis, skewness, and area. Further, psychological stress is detected by feature vector and four different classifiers. Experimental results show, that the best accuracy approaching 95 % is reached with Gaussian Mixture Models classifier. All the best results were obtained regarding only the interval of 5 % from both phase durations, i.e. for and after pulse peak, where the most significant differences between normal and stressed speech in feature vector are occurred. Presented experiments were performed on our own speech database containing both real stressed speech and normal speech.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
<a href="/en/project/LO1401" target="_blank" >LO1401: Interdisciplinary Research of Wireless Technologies</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Elektronika Ir Elektrotechnika
ISSN
1392-1215
e-ISSN
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Volume of the periodical
21
Issue of the periodical within the volume
5
Country of publishing house
LT - LITHUANIA
Number of pages
5
Pages from-to
59-63
UT code for WoS article
000362967700012
EID of the result in the Scopus database
2-s2.0-84944062307