Summary of the paper
| Title | Designing French Tale Corpora for Entertaining Text To Speech Synthesis |
|---|---|
| Authors | David Doukhan, Sophie Rosset, Albert Rilliard, Christophe d'Alessandro and Martine Adda-Decker |
| 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. |
| Topics | Corpus (creation, annotation, etc.), Prosody, Speech Synthesis |
Full paper  |
Designing French Tale Corpora for Entertaining Text To Speech Synthesis |
| Bibtex | @InProceedings{DOUKHAN12.876, author = {David Doukhan and Sophie Rosset and Albert Rilliard and Christophe d'Alessandro and Martine Adda-Decker}, title = {Designing French Tale Corpora for Entertaining Text To Speech Synthesis}, booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)}, year = {2012}, month = {may}, date = {23-25}, address = {Istanbul, Turkey}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Uğur Doğan and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-7-7}, language = {english} } |