Detail publikace

Effect of normalization on TRAP based systems in ASR

GRÉZL, F.

Originální název

Effect of normalization on TRAP based systems in ASR

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

 Good performance in noisy conditions is one of the most important
attributes of automatic speech recognition (ASR) system in practical
applications. We are focusing on the effect of the on-line mean and
variance normalization of temporal vectors in this work. We are comparing
the performance of the Temporal Pattern (TRAP) system with different kinds of
normalization in different noisy conditions. The performance of system
with temporal vectors projected on basis obtained by linear
discriminant analysis (LDA) is also investigated. Experiments show
better performance of system using vector projection in noisy conditions.

Klíčová slova

normalization, noisy speech recognition, TRAP, feature extraction

Autoři

GRÉZL, F.

Rok RIV

2003

Vydáno

6. 5. 2003

Nakladatel

Department of Radioelectronics FEEC BUT

Místo

Brno

ISBN

80-214-2383-8

Kniha

Proc. 13th International scientific conference Radioelektronika 2003

Strany od

128

Strany do

131

Strany počet

4

BibTex

@inproceedings{BUT14206,
  author="František {Grézl}",
  title="Effect of normalization on TRAP based systems in ASR",
  booktitle="Proc. 13th International scientific conference Radioelektronika 2003",
  year="2003",
  pages="128--131",
  publisher="Department of Radioelectronics FEEC BUT",
  address="Brno",
  isbn="80-214-2383-8"
}