ART: The Alternating Reading Task Corpus for Speech Entrainment and Imitation

Zheng Byron Yuan, Dorina de Jong, Ruitao Feng, Štefan Beňuš, Noël Nguyen, Róbert Sabo, Luciano Fadiga, Alessandro D’Ausilio


Abstract
We introduce the Alternating Reading Task (ART) Corpus, a collection of dyadic sentence reading for studying the entrainment and imitation behaviour in speech communication. The ART corpus features three experimental conditions - solo reading, alternating reading, and deliberate imitation - as well as three subcorpora encompassing French-, Italian-, and Slovak-accented English. This design allows systematic investigation of speech entrainment in a controlled and less spontaneous setting. Alongside detailed transcriptions, it includes English proficiency scores, demographics, and in-experiment questionnaires for probing linguistic, personal and interpersonal influences on entrainment. Our presentation covers its design, collection, annotation processes, initial analysis, and future research prospects.
Anthology ID:
2024.lrec-main.137
Volume:
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Month:
May
Year:
2024
Address:
Torino, Italia
Editors:
Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti, Nianwen Xue
Venues:
LREC | COLING
SIG:
Publisher:
ELRA and ICCL
Note:
Pages:
1548–1562
Language:
URL:
https://aclanthology.org/2024.lrec-main.137
DOI:
Bibkey:
Cite (ACL):
Zheng Byron Yuan, Dorina de Jong, Ruitao Feng, Štefan Beňuš, Noël Nguyen, Róbert Sabo, Luciano Fadiga, and Alessandro D’Ausilio. 2024. ART: The Alternating Reading Task Corpus for Speech Entrainment and Imitation. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 1548–1562, Torino, Italia. ELRA and ICCL.
Cite (Informal):
ART: The Alternating Reading Task Corpus for Speech Entrainment and Imitation (Yuan et al., LREC-COLING 2024)
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PDF:
https://aclanthology.org/2024.lrec-main.137.pdf