Publication detail
Enhancing multilingual recognition of emotion in speech by language identification
SAGHA, H. MATĚJKA, P. GAVRYUOKOVA, M. POVOLNÝ, F. MARCHI, E. SCHULLER, B.
Original Title
Enhancing multilingual recognition of emotion in speech by language identification
Type
conference paper
Language
English
Original Abstract
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.
Keywords
multilingual emotion recognition, language identification,language families
Authors
SAGHA, H.; MATĚJKA, P.; GAVRYUOKOVA, M.; POVOLNÝ, F.; MARCHI, E.; SCHULLER, B.
Released
8. 9. 2016
Publisher
International Speech Communication Association
Location
San Francisco
ISBN
1990-9772
Periodical
Proceedings of Interspeech
Number
9
State
French Republic
Pages from
2949
Pages to
2953
Pages count
5
URL
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"
}
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