Using Gradient Descent Optimization for Acoustics Training from Heterogeneous Data

Martin Karafiát, Igor Szöke, Jan Cernocký. Using Gradient Descent Optimization for Acoustics Training from Heterogeneous Data. In Petr Sojka, Ales Horák, Ivan Kopecek, Karel Pala, editors, Text, Speech and Dialogue, 13th International Conference, TSD 2010, Brno, Czech Republic, September 6-10, 2010. Proceedings. Volume 6231 of Lecture Notes in Computer Science, pages 322-329, Springer, 2010. [doi]

@inproceedings{KarafiatSC10,
  title = {Using Gradient Descent Optimization for Acoustics Training from Heterogeneous Data},
  author = {Martin Karafiát and Igor Szöke and Jan Cernocký},
  year = {2010},
  doi = {10.1007/978-3-642-15760-8_41},
  url = {http://dx.doi.org/10.1007/978-3-642-15760-8_41},
  tags = {optimization, data-flow},
  researchr = {https://researchr.org/publication/KarafiatSC10},
  cites = {0},
  citedby = {0},
  pages = {322-329},
  booktitle = {Text, Speech and Dialogue, 13th International Conference, TSD 2010, Brno, Czech Republic, September 6-10, 2010. Proceedings},
  editor = {Petr Sojka and Ales Horák and Ivan Kopecek and Karel Pala},
  volume = {6231},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-15759-2},
}