Publication detail
Study of linear transformations applied to training of cross-domain adapted large vocabulary continuous speech recognition systems
KARAFIÁT, M.
Original Title
Study of linear transformations applied to training of cross-domain adapted large vocabulary continuous speech recognition systems
Type
dissertation
Language
English
Original Abstract
This thesis investigates into two important issues of acoustic modeling for automatic speech recognition (ASR). The second part deals with using heterogeneous data resources in ASR training.
Keywords
LVCSR system, meeting recognition, linear transform, Adaptation, cross domain adaptation, HLDA, CMLLR, MLLR, narrow band - wide band
Authors
KARAFIÁT, M.
Released
5. 2. 2009
Location
Brno
Pages count
73
URL
BibTex
@phdthesis{BUT192664,
author="Martin {Karafiát}",
title="Study of linear transformations applied to training of cross-domain adapted large vocabulary continuous speech recognition systems",
address="Brno",
pages="73",
year="2009",
url="http://www.fit.vutbr.cz/research/groups/speech/publi/2009/karafiat_thesis.pdf"
}