Speech-to-text technology to transcribe and disclose 100, 000+ hours of bilingual documents from historical Czech and Czechoslovak radio archive

Jan Nouza, Petr Cerva, Jindrich Zdánský, Karel Blavka, Marek Bohac, Jan Silovský, Josef Chaloupka, Michaela Kucharová, Ladislav Seps, Jirí Málek, Michal Rott. Speech-to-text technology to transcribe and disclose 100, 000+ hours of bilingual documents from historical Czech and Czechoslovak radio archive. In Haizhou Li, Helen M. Meng, Bin Ma, Eng Siong Chng, Lei Xie, editors, INTERSPEECH 2014, 15th Annual Conference of the International Speech Communication Association, Singapore, September 14-18, 2014. pages 964-968, ISCA, 2014. [doi]

@inproceedings{NouzaCZBBSCKSMR14,
  title = {Speech-to-text technology to transcribe and disclose 100, 000+ hours of bilingual documents from historical Czech and Czechoslovak radio archive},
  author = {Jan Nouza and Petr Cerva and Jindrich Zdánský and Karel Blavka and Marek Bohac and Jan Silovský and Josef Chaloupka and Michaela Kucharová and Ladislav Seps and Jirí Málek and Michal Rott},
  year = {2014},
  doi = {http://www.isca-speech.org/archive/interspeech_2014/i14_0964.html},
  researchr = {https://researchr.org/publication/NouzaCZBBSCKSMR14},
  cites = {0},
  citedby = {0},
  pages = {964-968},
  booktitle = {INTERSPEECH 2014, 15th Annual Conference of the International Speech Communication Association, Singapore, September 14-18, 2014},
  editor = {Haizhou Li and Helen M. Meng and Bin Ma and Eng Siong Chng and Lei Xie},
  publisher = {ISCA},
}