@inproceedings{bailly-etal-2020-predicting,
title = "Predicting Multidimensional Subjective Ratings of Children{'} Readings from the Speech Signals for the Automatic Assessment of Fluency",
author = "Bailly, G{\'e}rard and
Godde, Erika and
Piat-Marchand, Anne-Laure and
Bosse, Marie-Line",
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-1.39",
pages = "317--322",
abstract = "The objective of this research is to estimate multidimensional subjective ratings of the reading performance of young readers from signal-based objective measures. We here combine linguistic features (number of correct words, repetitions, deletions, insertions uttered per minute . . . ) with phonetic features. Expressivity is particularly difficult to predict since there is no unique golden standard. We here propose a novel framework for performing such an estimation that exploits multiple references performed by adults and demonstrate its efficiency using recordings of 273 pupils.",
language = "English",
ISBN = "979-10-95546-34-4",
}
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%0 Conference Proceedings
%T Predicting Multidimensional Subjective Ratings of Children’ Readings from the Speech Signals for the Automatic Assessment of Fluency
%A Bailly, Gérard
%A Godde, Erika
%A Piat-Marchand, Anne-Laure
%A Bosse, Marie-Line
%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 bailly-etal-2020-predicting
%X The objective of this research is to estimate multidimensional subjective ratings of the reading performance of young readers from signal-based objective measures. We here combine linguistic features (number of correct words, repetitions, deletions, insertions uttered per minute . . . ) with phonetic features. Expressivity is particularly difficult to predict since there is no unique golden standard. We here propose a novel framework for performing such an estimation that exploits multiple references performed by adults and demonstrate its efficiency using recordings of 273 pupils.
%U https://aclanthology.org/2020.lrec-1.39
%P 317-322
Markdown (Informal)
[Predicting Multidimensional Subjective Ratings of Children’ Readings from the Speech Signals for the Automatic Assessment of Fluency](https://aclanthology.org/2020.lrec-1.39) (Bailly et al., LREC 2020)
ACL