Detail publikace

Deep Auto-encoder Based Multi-task Learning Using Probabilistic Transcriptions

DAS, A. HASEGAWA-JOHNSON, M. VESELÝ, K.

Originální název

Deep Auto-encoder Based Multi-task Learning Using Probabilistic Transcriptions

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This article is about deep auto-encoder based Multi-task Learning using probabilistic transcriptions.

Klíčová slova

cross-lingual speech recognition, probabilistic transcription, deep neural networks, multi-task learning

Autoři

DAS, A.; HASEGAWA-JOHNSON, M.; VESELÝ, K.

Vydáno

20. 8. 2017

Nakladatel

International Speech Communication Association

Místo

Stockholm

ISSN

1990-9772

Periodikum

Proceedings of Interspeech

Ročník

2017

Číslo

08

Stát

Francouzská republika

Strany od

2073

Strany do

2077

Strany počet

5

URL

http://www.isca-speech.org/archive/Interspeech_2017/pdfs/0582.PDF

BibTex

@inproceedings{BUT144494,
  author="Amit {Das} and Mark {Hasegawa-Johnson} and Karel {Veselý}",
  title="Deep Auto-encoder Based Multi-task Learning Using Probabilistic Transcriptions",
  booktitle="Proceedings of Interspeech 2017",
  year="2017",
  journal="Proceedings of Interspeech",
  volume="2017",
  number="08",
  pages="2073--2077",
  publisher="International Speech Communication Association",
  address="Stockholm",
  doi="10.21437/Interspeech.2017-582",
  issn="1990-9772",
  url="http://www.isca-speech.org/archive/Interspeech_2017/pdfs/0582.PDF"
}