Detail publikačního výsledku

The Role of Neural Network Size in TRAP/HATS Feature Extraction

GRÉZL, F.

Originální název

The Role of Neural Network Size in TRAP/HATS Feature Extraction

Anglický název

The Role of Neural Network Size in TRAP/HATS Feature Extraction

Druh

Stať ve sborníku mimo WoS a Scopus

Originální abstrakt

This article examines the performance of TRAP/HATS based probabilistic features in ASR. The sizes of neural networks in both stages of processing are changed and the influence is evaluated.

Anglický abstrakt

This article examines the performance of TRAP/HATS based probabilistic features in ASR. The sizes of neural networks in both stages of processing are changed and the influence is evaluated.

Klíčová slova

Neural networks, feature extraction, probabilistic features

Klíčová slova v angličtině

Neural networks, feature extraction, probabilistic features

Autoři

GRÉZL, F.

Rok RIV

2012

Vydáno

01.09.2011

Nakladatel

Springer Verlag

Místo

Plzeň

ISBN

978-3-642-23537-5

Kniha

Proceedings Text, Speech and Dialogue 2011

Edice

LNAI 6836

ISSN

0302-9743

Periodikum

Lecture Notes in Computer Science

Svazek

2011

Číslo

9

Stát

Spolková republika Německo

Strany od

315

Strany do

322

Strany počet

8

URL

http://www.fit.vutbr.cz/research/groups/speech/publi/2011/grezl_tsd2011.pdf

BibTex

@inproceedings{BUT76446,
  author="František {Grézl}",
  title="The Role of Neural Network Size in TRAP/HATS Feature Extraction",
  booktitle="Proceedings Text, Speech and Dialogue 2011",
  year="2011",
  series="LNAI 6836",
  journal="Lecture Notes in Computer Science",
  volume="2011",
  number="9",
  pages="315--322",
  publisher="Springer Verlag",
  address="Plzeň",
  isbn="978-3-642-23537-5",
  issn="0302-9743",
  url="http://www.fit.vutbr.cz/research/groups/speech/publi/2011/grezl_tsd2011.pdf"
}