NDLI: Stress Level Classification of Speech Using Euclidean Distance Metrics in a Novel Hybrid Multi-Dimensional Feature Space

Content Provider	IEEE Xplore Digital Library
Author	Ruzanski, E. Hansen, J.H.L. Meyerhoff, J. Saviolakis, G. Norris, W. Wollert, T.
Copyright Year	2006
Description	Author affiliation: Robust Speech Process. Group, Colorado Univ., Boulder, CO (Ruzanski, E.; Hansen, J.H.L.)
Abstract	Presently, automatic stress detection methods for speech employ a binary decision approach, deciding whether the speaker is or is not under stress. Since the amount of stress a speaker is under varies and can change gradually, a reliable stress level detection scheme becomes necessary to accurately assess the condition of the speaker. Such a capability is pertinent to a number of applications, such as for those personnel in law enforcement positions. Using speech and biometric data collected from a real-world, variable-stress level law enforcement training scenario, this study illustrates two methods for automatically assessing stress levels in speech using a hybrid multi-dimensional feature space comprised of frequency-based and Teager energy operator-based features. The first approach uses a nearest neighbor-type clustering scheme at the vowel token level to classify speech data into one of three levels of stress, yielding an overall error rate of 50.5%. The second approach employs accumulated Euclidean distance metric weighting at the sentence-level to yield a relative improvement of 12.1% in performance
Sponsorship	The Inst. of Electr. and Electron. Eng., Inc. Circuits and Syst. Soc. (IEEE CASS)
File Size	159670
File Format	PDF
ISBN	142440469X
ISSN	15206149
DOI	10.1109/ICASSP.2006.1660048
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-05-14
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Stress Euclidean distance Extraterrestrial measurements Law enforcement Human factors Personnel Robustness Speech processing Frequency Error analysis
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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