Detail výsledku

Enhancing multilingual recognition of emotion in speech by language identification

SAGHA, H.; MATĚJKA, P.; GAVRYUOKOVA, M.; POVOLNÝ, F.; MARCHI, E.; SCHULLER, B. Enhancing multilingual recognition of emotion in speech by language identification. In 17TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION - Proceedings (INTERSPEECH 2016). Proceedings of Interspeech. San Francisco: International Speech Communication Association, 2016. no. 9, p. 2949-2953. ISSN: 1990-9772.
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
SAGHA, H.
Matějka Pavel, Ing., Ph.D., UPGM (FIT)
GAVRYUOKOVA, M.
Povolný Filip, Ing.
MARCHI, E.
SCHULLER, B.
Abstrakt

We investigate, for the first time, if applying model selectionbased on automatic language identification (LID) can improvemultilingual recognition of emotion in speech. Six emotionalspeech corpora from three language families (Germanic, Romance,Sino-Tibetan) are evaluated. The emotions are representedby the quadrants in the arousal/valence plane, i. e., positive/negative arousal/valence. Four selection approaches forchoosing an optimal training set depending on the current languageare compared: within the same language family, acrosslanguage family, use of all available corpora, and selectionbased on the automatic LID. We found that, on average, theproposed LID approach for selecting training corpora is superiorto using all the available corpora when the spoken languageis not known.

Klíčová slova

multilingual emotion recognition, language identification,language families

URL
Rok
2016
Strany
2949–2953
Časopis
Proceedings of Interspeech, č. 9, ISSN 1990-9772
Sborník
17TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION - Proceedings (INTERSPEECH 2016)
Konference
Interspeech Conference
Vydavatel
International Speech Communication Association
Místo
San Francisco
DOI
10.21437/Interspeech.2016-333
UT WoS
000409394401295
EID Scopus
2-s2.0-84994259857
BibTeX 
@inproceedings{BUT163404,
  author="SAGHA, H. and MATĚJKA, P. and GAVRYUOKOVA, M. and POVOLNÝ, F. and MARCHI, E. and SCHULLER, B.",
  title="Enhancing multilingual recognition of emotion in speech by language identification",
  booktitle="17TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION - Proceedings (INTERSPEECH 2016)",
  year="2016",
  journal="Proceedings of Interspeech",
  number="9",
  pages="2949--2953",
  publisher="International Speech Communication Association",
  address="San Francisco",
  doi="10.21437/Interspeech.2016-333",
  issn="1990-9772",
  url="https://www.isca-speech.org/archive/Interspeech_2016/pdfs/0333.PDF"
}
Soubory
Projekty
Dolování infoRmAcí z řeči Pořízené vzdÁlenými miKrofony, MV, Bezpečnostní výzkum České republiky 2015-2020, VI20152020025, zahájení: 2015-10-01, ukončení: 2020-09-30, ukončen
IT4Innovations excellence in science, MŠMT, Národní program udržitelnosti II, LQ1602, zahájení: 2016-01-01, ukončení: 2020-12-31, ukončen
Sociální sémantická analýza emocí pro inovativní vícejazyčnou analýzu velkých dat, EU, Horizon 2020, zahájení: 2015-04-01, ukončení: 2017-03-31, ukončen
Výzkumné skupiny
Výzkumná skupina dolování dat z řeči BUT Speech@FIT (VZ SPEECH)
Pracoviště
Ústav počítačové grafiky a multimédií (UPGM)
Nahoru