Detail publikace

Multimodal Emotion Recognition for AVEC 2016 Challenge

POVOLNÝ, F. MATĚJKA, P. HRADIŠ, M. POPKOVÁ, A. OTRUSINA, L. SMRŽ, P. WOOD, I. ROBIN, C. LAMEL, L.

Originální název

Multimodal Emotion Recognition for AVEC 2016 Challenge

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

emotion recognition, valence, arousal, bottleneck features, neural networks, regression, speech transcription, word embedding

Autoři

POVOLNÝ, F.; MATĚJKA, P.; HRADIŠ, M.; POPKOVÁ, A.; OTRUSINA, L.; SMRŽ, P.; WOOD, I.; ROBIN, C.; LAMEL, L.

Vydáno

16. 10. 2016

Nakladatel

Association for Computing Machinery

Místo

Amsterdam

ISBN

978-1-4503-4516-3

Kniha

AVEC '16 Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge

Strany od

75

Strany do

82

Strany počet

8

URL

http://dl.acm.org/citation.cfm?id=2988268

BibTex

@inproceedings{BUT133512,
  author="Filip {Povolný} and Pavel {Matějka} and Michal {Hradiš} and Anna {Popková} and Lubomír {Otrusina} and Pavel {Smrž} and Ian {Wood} and Cecile {Robin} and Lori {Lamel}",
  title="Multimodal Emotion Recognition for AVEC 2016 Challenge",
  booktitle="AVEC '16 Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge",
  year="2016",
  pages="75--82",
  publisher="Association for Computing Machinery",
  address="Amsterdam",
  doi="10.1145/2988257.2988268",
  isbn="978-1-4503-4516-3",
  url="http://dl.acm.org/citation.cfm?id=2988268"
}