@inproceedings{lubis-etal-2016-construction,
title = "Construction of {J}apanese Audio-Visual Emotion Database and Its Application in Emotion Recognition",
author = "Lubis, Nurul and
Gomez, Randy and
Sakti, Sakriani and
Nakamura, Keisuke and
Yoshino, Koichiro and
Nakamura, Satoshi and
Nakadai, Kazuhiro",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Goggi, Sara and
Grobelnik, Marko and
Maegaard, Bente and
Mariani, Joseph and
Mazo, Helene and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Tenth International Conference on Language Resources and Evaluation ({LREC}'16)",
month = may,
year = "2016",
address = "Portoro{\v{z}}, Slovenia",
publisher = "European Language Resources Association (ELRA)",
url = "https://aclanthology.org/L16-1346",
pages = "2180--2184",
abstract = "Emotional aspects play a vital role in making human communication a rich and dynamic experience. As we introduce more automated system in our daily lives, it becomes increasingly important to incorporate emotion to provide as natural an interaction as possible. To achieve said incorporation, rich sets of labeled emotional data is prerequisite. However, in Japanese, existing emotion database is still limited to unimodal and bimodal corpora. Since emotion is not only expressed through speech, but also visually at the same time, it is essential to include multiple modalities in an observation. In this paper, we present the first audio-visual emotion corpora in Japanese, collected from 14 native speakers. The corpus contains 100 minutes of annotated and transcribed material. We performed preliminary emotion recognition experiments on the corpus and achieved an accuracy of 61.42{\%} for five classes of emotion.",
}
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%0 Conference Proceedings
%T Construction of Japanese Audio-Visual Emotion Database and Its Application in Emotion Recognition
%A Lubis, Nurul
%A Gomez, Randy
%A Sakti, Sakriani
%A Nakamura, Keisuke
%A Yoshino, Koichiro
%A Nakamura, Satoshi
%A Nakadai, Kazuhiro
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Grobelnik, Marko
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Helene
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16)
%D 2016
%8 May
%I European Language Resources Association (ELRA)
%C Portorož, Slovenia
%F lubis-etal-2016-construction
%X Emotional aspects play a vital role in making human communication a rich and dynamic experience. As we introduce more automated system in our daily lives, it becomes increasingly important to incorporate emotion to provide as natural an interaction as possible. To achieve said incorporation, rich sets of labeled emotional data is prerequisite. However, in Japanese, existing emotion database is still limited to unimodal and bimodal corpora. Since emotion is not only expressed through speech, but also visually at the same time, it is essential to include multiple modalities in an observation. In this paper, we present the first audio-visual emotion corpora in Japanese, collected from 14 native speakers. The corpus contains 100 minutes of annotated and transcribed material. We performed preliminary emotion recognition experiments on the corpus and achieved an accuracy of 61.42% for five classes of emotion.
%U https://aclanthology.org/L16-1346
%P 2180-2184
Markdown (Informal)
[Construction of Japanese Audio-Visual Emotion Database and Its Application in Emotion Recognition](https://aclanthology.org/L16-1346) (Lubis et al., LREC 2016)
ACL