Publication detail

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

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

Original Title

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

Type

conference paper

Language

English

Original Abstract

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

Keywords

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

Authors

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

Released

20. 8. 2017

Publisher

International Speech Communication Association

Location

Stockholm

ISBN

1990-9772

Periodical

Proceedings of Interspeech

Year of study

2017

Number

08

State

French Republic

Pages from

2073

Pages to

2077

Pages count

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"
}