Publication detail

Statistical Analysis of Fundamental Frequency Based Features in Speech under Stress

SIGMUND, M.

Original Title

Statistical Analysis of Fundamental Frequency Based Features in Speech under Stress

Type

journal article - other

Language

English

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.

Keywords

speech signal processing, fundamental frequency, statistical evaluation

Authors

SIGMUND, M.

RIV year

2013

Released

12. 9. 2013

ISBN

1392-124X

Periodical

Information Technology and Control

Year of study

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"
}