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

English Title

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

Type

journal article in Web of Science

Language

en

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.

English 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

RIV year

2011

Released

01.02.2011

Publisher

Elsevier Science

Location

NEUVEDEN

ISBN

0167-6393

Periodical

Speech Communication

Year of study

53

Number

9

State

NL

Pages from

1172

Pages to

1185

Pages count

14

URL

Documents

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",
  annote="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.",
  address="Elsevier Science",
  booktitle="Speech Communication",
  chapter="76396",
  doi="10.1016/j.specom.2011.01.007",
  edition="NEUVEDEN",
  howpublished="print",
  institution="Elsevier Science",
  number="9",
  volume="53",
  year="2011",
  month="february",
  pages="1172--1185",
  publisher="Elsevier Science",
  type="journal article in Web of Science"
}