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"
}