Detail publikačního výsledku

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

Anglický název

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

Druh

Článek WoS

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 recognitionas well.

Anglický 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 recognitionas well.

Klíčová slova

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

Klíčová slova v angličtině

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

Autoři

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

Rok RIV

2012

Vydáno

01.02.2011

Nakladatel

Elsevier Science

Kniha

Speech Communication

ISSN

0167-6393

Periodikum

SPEECH COMMUNICATION

Svazek

53

Číslo

9

Stát

Nizozemsko

Strany od

1172

Strany do

1185

Strany počet

14

URL

Plný text v Digitální knihovně

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"
}