David Doukhan


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Computer-assisted Speaker Diarization: How to Evaluate Human Corrections
Pierre-Alexandre Broux | David Doukhan | Simon Petitrenaud | Sylvain Meignier | Jean Carrive
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)


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Designing French Tale Corpora for Entertaining Text To Speech Synthesis
David Doukhan | Sophie Rosset | Albert Rilliard | Christophe d’Alessandro | Martine Adda-Decker
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

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.