@inproceedings{asai-etal-2020-emotional,
title = "Emotional Speech Corpus for Persuasive Dialogue System",
author = "Asai, Sara and
Yoshino, Koichiro and
Shinagawa, Seitaro and
Sakti, Sakriani and
Nakamura, Satoshi",
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
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Twelfth Language Resources and Evaluation Conference",
month = may,
year = "2020",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2020.lrec-1.62",
pages = "491--497",
abstract = "Expressing emotion is known as an efficient way to persuade one{'}s dialogue partner to accept one{'}s claim or proposal. Emotional expression in speech can express the speaker{'}s emotion more directly than using only emotion expression in the text, which will lead to a more persuasive dialogue. In this paper, we built a speech dialogue corpus in a persuasive scenario that uses emotional expressions to build a persuasive dialogue system with emotional expressions. We extended an existing text dialogue corpus by adding variations of emotional responses to cover different combinations of broad dialogue context and a variety of emotional states by crowd-sourcing. Then, we recorded emotional speech consisting of of collected emotional expressions spoken by a voice actor. The experimental results indicate that the collected emotional expressions with their speeches have higher emotional expressiveness for expressing the system{'}s emotion to users.",
language = "English",
ISBN = "979-10-95546-34-4",
}
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<abstract>Expressing emotion is known as an efficient way to persuade one’s dialogue partner to accept one’s claim or proposal. Emotional expression in speech can express the speaker’s emotion more directly than using only emotion expression in the text, which will lead to a more persuasive dialogue. In this paper, we built a speech dialogue corpus in a persuasive scenario that uses emotional expressions to build a persuasive dialogue system with emotional expressions. We extended an existing text dialogue corpus by adding variations of emotional responses to cover different combinations of broad dialogue context and a variety of emotional states by crowd-sourcing. Then, we recorded emotional speech consisting of of collected emotional expressions spoken by a voice actor. The experimental results indicate that the collected emotional expressions with their speeches have higher emotional expressiveness for expressing the system’s emotion to users.</abstract>
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%0 Conference Proceedings
%T Emotional Speech Corpus for Persuasive Dialogue System
%A Asai, Sara
%A Yoshino, Koichiro
%A Shinagawa, Seitaro
%A Sakti, Sakriani
%A Nakamura, Satoshi
%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 Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Twelfth Language Resources and Evaluation Conference
%D 2020
%8 May
%I European Language Resources Association
%C Marseille, France
%@ 979-10-95546-34-4
%G English
%F asai-etal-2020-emotional
%X Expressing emotion is known as an efficient way to persuade one’s dialogue partner to accept one’s claim or proposal. Emotional expression in speech can express the speaker’s emotion more directly than using only emotion expression in the text, which will lead to a more persuasive dialogue. In this paper, we built a speech dialogue corpus in a persuasive scenario that uses emotional expressions to build a persuasive dialogue system with emotional expressions. We extended an existing text dialogue corpus by adding variations of emotional responses to cover different combinations of broad dialogue context and a variety of emotional states by crowd-sourcing. Then, we recorded emotional speech consisting of of collected emotional expressions spoken by a voice actor. The experimental results indicate that the collected emotional expressions with their speeches have higher emotional expressiveness for expressing the system’s emotion to users.
%U https://aclanthology.org/2020.lrec-1.62
%P 491-497
Markdown (Informal)
[Emotional Speech Corpus for Persuasive Dialogue System](https://aclanthology.org/2020.lrec-1.62) (Asai et al., LREC 2020)
ACL
- Sara Asai, Koichiro Yoshino, Seitaro Shinagawa, Sakriani Sakti, and Satoshi Nakamura. 2020. Emotional Speech Corpus for Persuasive Dialogue System. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 491–497, Marseille, France. European Language Resources Association.