Commit ef5c11ac authored by Dan Povey's avatar Dan Povey
Browse files

Minor futher changes to paper.

git-svn-id: https://svn.code.sf.net/p/kaldi/code/sandbox/discrim@532 5e6a8d80-dfce-4ca6-a32a-6e07a63d50c8
parent 60d9207e
PAPER=icassp12
all: $(PAPER).pdf
cp $(PAPER).pdf ~/desktop/2012_icassp_semicont.pdf || true
ifeq ($(shell uname), Darwin)
$(PAPER).pdf: $(PAPER).tex $(PAPER).bbl
......@@ -9,7 +10,7 @@ $(PAPER).pdf: $(PAPER).tex $(PAPER).bbl
else
$(PAPER).pdf: $(PAPER).tex $(PAPER).bbl
pdflatex $(PAPER)
cp $(PAPER).pdf ~/desktop/2012_icassp_semicont.pdf || true
endif
......
......@@ -52,12 +52,11 @@ This has led to a renewed interest in methods of reducing the number of paramete
while maintaining or extending the modeling capabilities of continuous models.
%
In this work, we compare classic and multiple-codebook semi-continuous models
that use full covariance matrices with continuous HMMs and subspace Gaussian mixture models.
%
Experiments using on the RM and WSJ corpora show that a semi-continuous system
can still yield competitive results while using fewer Gaussian components.
Our best semi-continous systems included full-covariance codebook Gaussians,
multiple codebooks, and smoothing of the weight parameters.
using diagonal and full covariance matrices with continuous HMMs and subspace Gaussian
mixture models.
Experiments using on the RM and WSJ corpora show that while a classical semi-continous
system does not perform as well as a continuous one, multiple-codebook semi-continuous
systems can perform better, particular when using full-covariance Gaussians.
\end{abstract}
\begin{keywords}
......
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