Publication result detail

Autoencoder based multi-stream combination for noise robust speech recognition

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

Original Title

Autoencoder based multi-stream combination for noise robust speech recognition

English Title

Autoencoder based multi-stream combination for noise robust speech recognition

Type

Paper in proceedings (conference paper)

Original Abstract

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

English abstract

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

Keywords

speech recognition, human-computer interaction,computational paralinguistics

Key words in English

speech recognition, human-computer interaction,computational paralinguistics

Authors

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

RIV year

2016

Released

06.09.2015

Publisher

International Speech Communication Association

Location

Dresden

ISBN

978-1-5108-1790-6

Book

Proceeding of Interspeech 2015

ISBN

1990-9772

Periodical

Proceedings of Interspeech

Volume

2015

Number

09

State

French Republic

Pages from

3551

Pages to

3555

Pages count

5

URL

Full text in the Digital Library

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"
}