@inproceedings{burkhardt-etal-2022-comparative,
title = "A Comparative Cross Language View On Acted Databases Portraying Basic Emotions Utilising Machine Learning",
author = {Burkhardt, Felix and
Hacker, Anabell and
Reichel, Uwe and
Wierstorf, Hagen and
Eyben, Florian and
Schuller, Bj{\"o}rn},
editor = "Calzolari, Nicoletta and
B{\'e}chet, Fr{\'e}d{\'e}ric and
Blache, Philippe and
Choukri, Khalid and
Cieri, Christopher and
Declerck, Thierry and
Goggi, Sara and
Isahara, Hitoshi and
Maegaard, Bente and
Mariani, Joseph and
Mazo, H{\'e}l{\`e}ne and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
month = jun,
year = "2022",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2022.lrec-1.204",
pages = "1917--1924",
abstract = "Since several decades emotional databases have been recorded by various laboratories. Many of them contain acted portrays of Darwin{'}s famous {``}big four{''} basic emotions. In this paper, we investigate in how far a selection of them are comparable by two approaches: on the one hand modeling similarity as performance in cross database machine learning experiments and on the other by analyzing a manually picked set of four acoustic features that represent different phonetic areas. It is interesting to see in how far specific databases (we added a synthetic one) perform well as a training set for others while some do not. Generally speaking, we found indications for both similarity as well as specificiality across languages.",
}
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%0 Conference Proceedings
%T A Comparative Cross Language View On Acted Databases Portraying Basic Emotions Utilising Machine Learning
%A Burkhardt, Felix
%A Hacker, Anabell
%A Reichel, Uwe
%A Wierstorf, Hagen
%A Eyben, Florian
%A Schuller, Björn
%Y Calzolari, Nicoletta
%Y Béchet, Frédéric
%Y Blache, Philippe
%Y Choukri, Khalid
%Y Cieri, Christopher
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Isahara, Hitoshi
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Hélène
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Thirteenth Language Resources and Evaluation Conference
%D 2022
%8 June
%I European Language Resources Association
%C Marseille, France
%F burkhardt-etal-2022-comparative
%X Since several decades emotional databases have been recorded by various laboratories. Many of them contain acted portrays of Darwin’s famous “big four” basic emotions. In this paper, we investigate in how far a selection of them are comparable by two approaches: on the one hand modeling similarity as performance in cross database machine learning experiments and on the other by analyzing a manually picked set of four acoustic features that represent different phonetic areas. It is interesting to see in how far specific databases (we added a synthetic one) perform well as a training set for others while some do not. Generally speaking, we found indications for both similarity as well as specificiality across languages.
%U https://aclanthology.org/2022.lrec-1.204
%P 1917-1924
Markdown (Informal)
[A Comparative Cross Language View On Acted Databases Portraying Basic Emotions Utilising Machine Learning](https://aclanthology.org/2022.lrec-1.204) (Burkhardt et al., LREC 2022)
ACL