Publication detail

Convolutive Bottleneck Network Features for LVCSR

VESELÝ, K. KARAFIÁT, M. GRÉZL, F.

Original Title

Convolutive Bottleneck Network Features for LVCSR

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

Workshop Article about novel features for tandem LVCSR system, which are based on Convolutive Bottleneck Network. It extends the previous work on Universal Context network by using linear bottleneck and expansion to Convolutive Bottleneck Network,so all the parameters are trained together.

Keywords

Bottleneck features, Tandem LVCSR system, linear bottleneck, Convolutional Bottleneck Network

Authors

VESELÝ, K.; KARAFIÁT, M.; GRÉZL, F.

RIV year

2011

Released

11. 12. 2011

Publisher

IEEE Signal Processing Society

Location

Big Island, Hawaii

ISBN

978-1-4673-0366-8

Book

Proceedings of ASRU 2011

Pages from

42

Pages to

47

Pages count

6

URL

http://www.fit.vutbr.cz/research/groups/speech/publi/2011/vesely_asru2011_00042.pdf

BibTex

@inproceedings{BUT76443,
  author="Karel {Veselý} and Martin {Karafiát} and František {Grézl}",
  title="Convolutive Bottleneck Network Features for LVCSR",
  booktitle="Proceedings of ASRU 2011",
  year="2011",
  pages="42--47",
  publisher="IEEE Signal Processing Society",
  address="Big Island, Hawaii",
  isbn="978-1-4673-0366-8",
  url="http://www.fit.vutbr.cz/research/groups/speech/publi/2011/vesely_asru2011_00042.pdf"
}