@inproceedings{doukhan-etal-2012-designing,
title = "Designing {F}rench Tale Corpora for Entertaining Text To Speech Synthesis",
author = "Doukhan, David and
Rosset, Sophie and
Rilliard, Albert and
d{'}Alessandro, Christophe and
Adda-Decker, Martine",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Do{\u{g}}an, Mehmet U{\u{g}}ur and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12)",
month = may,
year = "2012",
address = "Istanbul, Turkey",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2012/pdf/876_Paper.pdf",
pages = "1003--1010",
abstract = "Text and speech corpora for training a tale telling robot have been designed, recorded and annotated. The aim of these corpora is to study expressive storytelling behaviour, and to help in designing expressive prosodic and co-verbal variations for the artificial storyteller). A set of 89 children tales in French serves as a basis for this work. The tales annotation principles and scheme are described, together with the corpus description in terms of coverage and inter-annotator agreement. Automatic analysis of a new tale with the help of this corpus and machine learning is discussed. Metrics for evaluation of automatic annotation methods are discussed. A speech corpus of about 1 hour, with 12 tales has been recorded and aligned and annotated. This corpus is used for predicting expressive prosody in children tales, above the level of the sentence.",
}
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<abstract>Text and speech corpora for training a tale telling robot have been designed, recorded and annotated. The aim of these corpora is to study expressive storytelling behaviour, and to help in designing expressive prosodic and co-verbal variations for the artificial storyteller). A set of 89 children tales in French serves as a basis for this work. The tales annotation principles and scheme are described, together with the corpus description in terms of coverage and inter-annotator agreement. Automatic analysis of a new tale with the help of this corpus and machine learning is discussed. Metrics for evaluation of automatic annotation methods are discussed. A speech corpus of about 1 hour, with 12 tales has been recorded and aligned and annotated. This corpus is used for predicting expressive prosody in children tales, above the level of the sentence.</abstract>
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%0 Conference Proceedings
%T Designing French Tale Corpora for Entertaining Text To Speech Synthesis
%A Doukhan, David
%A Rosset, Sophie
%A Rilliard, Albert
%A d’Alessandro, Christophe
%A Adda-Decker, Martine
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Doğan, Mehmet Uğur
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC’12)
%D 2012
%8 May
%I European Language Resources Association (ELRA)
%C Istanbul, Turkey
%F doukhan-etal-2012-designing
%X Text and speech corpora for training a tale telling robot have been designed, recorded and annotated. The aim of these corpora is to study expressive storytelling behaviour, and to help in designing expressive prosodic and co-verbal variations for the artificial storyteller). A set of 89 children tales in French serves as a basis for this work. The tales annotation principles and scheme are described, together with the corpus description in terms of coverage and inter-annotator agreement. Automatic analysis of a new tale with the help of this corpus and machine learning is discussed. Metrics for evaluation of automatic annotation methods are discussed. A speech corpus of about 1 hour, with 12 tales has been recorded and aligned and annotated. This corpus is used for predicting expressive prosody in children tales, above the level of the sentence.
%U http://www.lrec-conf.org/proceedings/lrec2012/pdf/876_Paper.pdf
%P 1003-1010
Markdown (Informal)
[Designing French Tale Corpora for Entertaining Text To Speech Synthesis](http://www.lrec-conf.org/proceedings/lrec2012/pdf/876_Paper.pdf) (Doukhan et al., LREC 2012)
ACL
- David Doukhan, Sophie Rosset, Albert Rilliard, Christophe d’Alessandro, and Martine Adda-Decker. 2012. Designing French Tale Corpora for Entertaining Text To Speech Synthesis. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 1003–1010, Istanbul, Turkey. European Language Resources Association (ELRA).