Detail publikace

Autoencoder based multi-stream combination for noise robust speech recognition

MALLIDI, S. OGAWA, T. VESELÝ, K. NIDADAVOLU, P. HEŘMANSKÝ, H.

Originální název

Autoencoder based multi-stream combination for noise robust speech recognition

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

In this paper, we have proposed techniques to estimate performance of DNN based classifiers. The technique is based on modeling the distribution of DNN outputs, using autoencoders.

Klíčová slova

speech recognition, human-computer interaction, computational paralinguistics

Autoři

MALLIDI, S.; OGAWA, T.; VESELÝ, K.; NIDADAVOLU, P.; HEŘMANSKÝ, H.

Rok RIV

2015

Vydáno

6. 9. 2015

Nakladatel

International Speech Communication Association

Místo

Dresden

ISBN

978-1-5108-1790-6

Kniha

Proceeding of Interspeech 2015

ISSN

1990-9772

Periodikum

Proceedings of Interspeech

Ročník

2015

Číslo

09

Stát

Francouzská republika

Strany od

3551

Strany do

3555

Strany počet

5

URL

BibTex

@inproceedings{BUT119906,
  author="Sri Harish {Mallidi} and Tetsuji {Ogawa} and Karel {Veselý} and Phani {Nidadavolu} and Hynek {Heřmanský}",
  title="Autoencoder based multi-stream combination for noise robust speech recognition",
  booktitle="Proceeding of Interspeech 2015",
  year="2015",
  journal="Proceedings of Interspeech",
  volume="2015",
  number="09",
  pages="3551--3555",
  publisher="International Speech Communication Association",
  address="Dresden",
  isbn="978-1-5108-1790-6",
  issn="1990-9772",
  url="http://www.fit.vutbr.cz/research/groups/speech/publi/2015/mallidi_interspeech2015_IS150897.pdf"
}