Phoneme Similarity Matrices to Improve Long Audio Alignment for Automatic Subtitling

Pablo Ruiz, Aitor Álvarez, Haritz Arzelus. Phoneme Similarity Matrices to Improve Long Audio Alignment for Automatic Subtitling. In Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asunción Moreno, Jan Odijk, Stelios Piperidis, editors, Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC-2014), Reykjavik, Iceland, May 26-31, 2014. pages 437-442, European Language Resources Association (ELRA), 2014. [doi]

@inproceedings{RuizAA14,
  title = {Phoneme Similarity Matrices to Improve Long Audio Alignment for Automatic Subtitling},
  author = {Pablo Ruiz and Aitor Álvarez and Haritz Arzelus},
  year = {2014},
  url = {http://www.lrec-conf.org/proceedings/lrec2014/summaries/387.html},
  researchr = {https://researchr.org/publication/RuizAA14},
  cites = {0},
  citedby = {0},
  pages = {437-442},
  booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC-2014), Reykjavik, Iceland, May 26-31, 2014},
  editor = {Nicoletta Calzolari and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asunción Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
}