Result Details

Finite-State Based Recognition Networks For Forward-Backward Speech Decoding

HANNEMANN, M. Finite-State Based Recognition Networks For Forward-Backward Speech Decoding. Brno: Brno University of Technology, 2016. p. 1-105.
Type
dissertation
Language
English
Authors
Hannemann Mirko, Ph.D., FIT (FIT), DCGM (FIT)
Abstract

This work is about the finite-state based recognition networks for forward-backward speech decoding. The goal of this thesis is to further develop the recipes and algorithms for the construction of optimal recognition networks.

Keywords

Automatic speech recognition, LVCSR decoding, recognition networks, weighted nite state transducers, N-gram language models, weight pushing

URL
Published
2016
Pages
1–105
Publisher
Brno University of Technology
Place
Brno
BibTeX 
@misc{BUT168579,
  author="Mirko {Hannemann}",
  title="Finite-State Based Recognition Networks For Forward-Backward Speech Decoding",
  year="2016",
  pages="1--105",
  publisher="Brno University of Technology",
  address="Brno",
  url="http://www.fit.vutbr.cz/research/groups/speech/publi/2016/hannemann_phdthesis_web.pdf"
}
Research groups
Výzkumná skupina dolování dat z řeči BUT Speech@FIT (RG SPEECH)
Departments
Ústav počítačové grafiky a multimédií (DCGM)
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