Summary of the paper

Title RSS-TOBI - a Prosodically Enhanced Romanian Speech Corpus
Authors Tiberiu Boroș, Adriana Stan, Oliver Watts and Stefan Daniel Dumitrescu
Abstract This paper introduces a recent development of a Romanian Speech corpus to include prosodic annotations of the speech data in the form of ToBI labels. We describe the methodology of determining the required pitch patterns that are common for the Romanian language, annotate the speech resource, and then provide a comparison of two text-to-speech synthesis systems to establish the benefits of using this type of information to our speech resource. The result is a publicly available speech dataset which can be used to further develop speech synthesis systems or to automatically learn the prediction of ToBI labels from text in Romanian language.
Topics Prosody, Speech Synthesis
Full paper RSS-TOBI - a Prosodically Enhanced Romanian Speech Corpus
Bibtex @InProceedings{BORO14.727,
  author = {Tiberiu Boroș and Adriana Stan and Oliver Watts and Stefan Daniel Dumitrescu},
  title = {RSS-TOBI - a Prosodically Enhanced Romanian Speech Corpus},
  booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)},
  year = {2014},
  month = {may},
  date = {26-31},
  address = {Reykjavik, Iceland},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {978-2-9517408-8-4},
  language = {english}
 }
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