Detail publikace

Convolutive Bottleneck Network Features for LVCSR

VESELÝ, K. KARAFIÁT, M. GRÉZL, F.

Originální název

Convolutive Bottleneck Network Features for LVCSR

Anglický název

Convolutive Bottleneck Network Features for LVCSR

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

Dokumenty

BibTex 


@inproceedings{BUT76443,
  author="Karel {Veselý} and Martin {Karafiát} and František {Grézl}",
  title="Convolutive Bottleneck Network Features for LVCSR",
  annote="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.",
  address="IEEE Signal Processing Society",
  booktitle="Proceedings of ASRU 2011",
  chapter="76443",
  edition="NEUVEDEN",
  howpublished="print",
  institution="IEEE Signal Processing Society",
  year="2011",
  month="december",
  pages="42--47",
  publisher="IEEE Signal Processing Society",
  type="conference paper"
}