Multimodal Emotion Recognition for AVEC 2016 Challenge
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F16%3APU122847" target="_blank" >RIV/00216305:26230/16:PU122847 - isvavai.cz</a>
Result on the web
<a href="http://dl.acm.org/citation.cfm?id=2988268" target="_blank" >http://dl.acm.org/citation.cfm?id=2988268</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/2988257.2988268" target="_blank" >10.1145/2988257.2988268</a>
Alternative languages
Result language
angličtina
Original language name
Multimodal Emotion Recognition for AVEC 2016 Challenge
Original language description
This paper describes a systems for emotion recognition and its application on the dataset from the AV+EC 2016 Emotion Recognition Challenge. The realized system was produced and submitted to the AV+EC 2016 evaluation, making use of all three modalities (audio, video, and physiological data). Our work primarily focused on features derived from audio. The original audio features were complement with bottleneck features and also text-based emotion recognition which is based on transcribing audio by an automatic speech recognition system and applying resources such as word embedding models and sentiment lexicons. Our multimodal fusion reached CCC=0.855 on dev set for arousal and 0.713 for valence. CCC on test set is 0.719 and 0.596 for arousal and valence respectively.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
R - Projekt Ramcoveho programu EK
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
AVEC '16 Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge
ISBN
978-1-4503-4516-3
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
75-82
Publisher name
Association for Computing Machinery
Place of publication
Amsterdam
Event location
Amsterdam
Event date
Oct 16, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000390604700011