Detail publikace

Integrating recent MLP feature extraction techniques into TRAP architecture

GRÉZL, F. KARAFIÁT, M.

Originální název

Integrating recent MLP feature extraction techniques into TRAP architecture

Anglický název

Integrating recent MLP feature extraction techniques into TRAP architecture

Jazyk

en

Originální abstrakt

The article shows the performance improvement and limitations of TRAP and HATS neural net systems for feature extraction in LVCSR when the bottel neck approach and phoneme states targets are introduced into them.

Anglický abstrakt

The article shows the performance improvement and limitations of TRAP and HATS neural net systems for feature extraction in LVCSR when the bottel neck approach and phoneme states targets are introduced into them.

Dokumenty

BibTex 


@inproceedings{BUT76438,
  author="František {Grézl} and Martin {Karafiát}",
  title="Integrating recent MLP feature extraction techniques into TRAP architecture",
  annote="The article shows the performance improvement and limitations of TRAP and HATS
neural net systems for feature extraction in LVCSR when the bottel neck approach
and phoneme states targets are introduced into them.",
  address="International Speech Communication Association",
  booktitle="Proceedings of Interspeech 2011",
  chapter="76438",
  edition="NEUVEDEN",
  howpublished="print",
  institution="International Speech Communication Association",
  number="8",
  year="2011",
  month="august",
  pages="1229--1232",
  publisher="International Speech Communication Association",
  type="conference paper"
}