Summary of the paper

Title Enhancing the TED-LIUM Corpus with Selected Data for Language Modeling and More TED Talks
Authors Anthony Rousseau, Paul Deléglise and Yannick Estève
Abstract In this paper, we present improvements made to the TED-LIUM corpus we released in 2012. These enhancements fall into two categories. First, we describe how we filtered publicly available monolingual data and used it to estimate well-suited language models (LMs), using open-source tools. Then, we describe the process of selection we applied to new acoustic data from TED talks, providing additions to our previously released corpus. Finally, we report some experiments we made around these improvements.
Topics Speech Recognition/Understanding, Language Modelling
Full paper Enhancing the TED-LIUM Corpus with Selected Data for Language Modeling and More TED Talks
Bibtex @InProceedings{ROUSSEAU14.1104,
  author = {Anthony Rousseau and Paul Deléglise and Yannick Estève},
  title = {Enhancing the TED-LIUM Corpus with Selected Data for Language Modeling and More TED Talks},
  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}
 }
Powered by ELDA © 2014 ELDA/ELRA