Publication detail

Application of speaker- and language identification state-of-the-art techniques for emotion recognition

KOCKMANN, M. BURGET, L. ČERNOCKÝ, J.

Original Title

Application of speaker- and language identification state-of-the-art techniques for emotion recognition

Type

journal article in Web of Science

Language

English

Original Abstract

Authors of this article show that feature extraction and statistical modeling methods that are usually used in speaker and language recognition can be successfully used for emotion recognition as well.

Keywords

Emotion recognition; Gaussian mixture models; Maximum-mutual-information; Intersession variability compensation; Score-level fusion

Authors

KOCKMANN, M.; BURGET, L.; ČERNOCKÝ, J.

RIV year

2011

Released

1. 2. 2011

Publisher

Elsevier Science

ISBN

0167-6393

Periodical

Speech Communication

Year of study

53

Number

9

State

Kingdom of the Netherlands

Pages from

1172

Pages to

1185

Pages count

14

URL

http://pdn.sciencedirect.com/science?_ob=MiamiImageURL&_cid=271578&_user=640830&_pii=S0167639311000082&_check=y&_origin=search&_zone=rslt_list_item&_coverDate=2011-12-31&wchp=dGLbVlS-zSkWz&md5=2a79c3d171cd13a3689408115666e2ef/1-s2.0-S0167639311000082-main

BibTex

@article{BUT76396,
  author="Marcel {Kockmann} and Lukáš {Burget} and Jan {Černocký}",
  title="Application of speaker- and language identification state-of-the-art techniques for emotion recognition",
  journal="Speech Communication",
  year="2011",
  volume="53",
  number="9",
  pages="1172--1185",
  doi="10.1016/j.specom.2011.01.007",
  issn="0167-6393",
  url="http://pdn.sciencedirect.com/science?_ob=MiamiImageURL&_cid=271578&_user=640830&_pii=S0167639311000082&_check=y&_origin=search&_zone=rslt_list_item&_coverDate=2011-12-31&wchp=dGLbVlS-zSkWz&md5=2a79c3d171cd13a3689408115666e2ef/1-s2.0-S0167639311000082-main"
}