Publication detail

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

GRÉZL, F.

Original Title

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

English Title

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

Type

conference paper

Language

en

Original Abstract

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.

English abstract

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.

Keywords

Neural networks, feature extraction, probabilistic features

RIV year

2011

Released

01.09.2011

Publisher

Springer Verlag

Location

Plzeň

ISBN

978-3-642-23537-5

Book

Proceedings Text, Speech and Dialogue 2011

Edition

LNAI 6836

Edition number

NEUVEDEN

Pages from

315

Pages to

322

Pages count

8

URL

Documents

BibTex


@inproceedings{BUT76446,
  author="František {Grézl}",
  title="The Role of Neural Network Size in TRAP/HATS Feature Extraction",
  annote="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.",
  address="Springer Verlag",
  booktitle="Proceedings Text, Speech and Dialogue 2011",
  chapter="76446",
  edition="LNAI 6836",
  howpublished="print",
  institution="Springer Verlag",
  number="9",
  year="2011",
  month="september",
  pages="315--322",
  publisher="Springer Verlag",
  type="conference paper"
}