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SIGMUND, M.
Original Title
Statistical Analysis of Fundamental Frequency Based Features in Speech under Stress
English Title
Type
Peer-reviewed article not indexed in WoS or Scopus
Original Abstract
A significant part of the non-linguistic information carried in speech refers to the speaker and his/her internal state. This study investigates sixteen features based on fundamental frequency of speech F0 in order to detect stress in speakers. The total frequency ranges of F0 across specific short-time speech segments having stable F0 values were evaluated as the best features for speaker-independent stress detection. F0 contours were computed frame-by-frame using an optimized autocorrelation function. In our experiments, we used utterances spoken by 14 male speakers and taken from own database of speech under real psychological stress.
English abstract
Keywords
speech signal processing, fundamental frequency, statistical evaluation
Key words in English
Authors
RIV year
2014
Released
12.09.2013
ISBN
1392-124X
Periodical
Information Technology and Control
Volume
42
Number
3
State
Republic of Lithuania
Pages from
286
Pages to
291
Pages count
6
BibTex
@article{BUT102578, author="Milan {Sigmund}", title="Statistical Analysis of Fundamental Frequency Based Features in Speech under Stress", journal="Information Technology and Control", year="2013", volume="42", number="3", pages="286--291", issn="1392-124X" }