Detail publikace

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

KOCKMANN, M. BURGET, L. ČERNOCKÝ, J.

Originální název

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

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

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

Rok RIV

2011

Vydáno

1. 2. 2011

Nakladatel

Elsevier Science

ISSN

0167-6393

Periodikum

Speech Communication

Ročník

53

Číslo

9

Stát

Nizozemsko

Strany od

1172

Strany do

1185

Strany počet

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"
}