Deep Auto-Encoder Based Multi-Task Learning Using Probabilistic Transcriptions

Amit Das, Mark Hasegawa-Johnson, Karel VeselĂ˝. Deep Auto-Encoder Based Multi-Task Learning Using Probabilistic Transcriptions. In Francisco Lacerda, editor, Interspeech 2017, 18th Annual Conference of the International Speech Communication Association, Stockholm, Sweden, August 20-24, 2017. pages 2073-2077, ISCA, 2017. [doi]

@inproceedings{DasHV17,
  title = {Deep Auto-Encoder Based Multi-Task Learning Using Probabilistic Transcriptions},
  author = {Amit Das and Mark Hasegawa-Johnson and Karel VeselĂ˝},
  year = {2017},
  url = {http://www.isca-speech.org/archive/Interspeech_2017/abstracts/0582.html},
  researchr = {https://researchr.org/publication/DasHV17},
  cites = {0},
  citedby = {0},
  pages = {2073-2077},
  booktitle = {Interspeech 2017, 18th Annual Conference of the International Speech Communication Association, Stockholm, Sweden, August 20-24, 2017},
  editor = {Francisco Lacerda},
  publisher = {ISCA},
}