Commit bb9d15ee authored by Dan Povey's avatar Dan Povey
Browse files

Final edits to paper.

git-svn-id: https://svn.code.sf.net/p/kaldi/code/sandbox/discrim@536 5e6a8d80-dfce-4ca6-a32a-6e07a63d50c8
parent 08af6717
......@@ -92,7 +92,7 @@ there are obvious similarities.
In the experiments we report here we have not been able to match the performance of
a standard diagonal GMM based system using a traditional semi-continuous system;
however, using a two-level tree and multiple codebooks similar to~\cite{prasad2004t2b},
we were able to get better performance than a traditional system (although not
in one setup we were able to get better performance than a traditional system (although not
as good as SGMMs). For both traditional and multiple-codebook configurations,
we saw better results with full-covariance codebook Gaussians than with diagonal.
We investigated smoothing the statistics for weight estimation using the decision
......@@ -542,7 +542,8 @@ and the other using multiple codebooks based on a two-level phonetic decision tr
similar to~\cite{prasad2004t2b}.
Using the single-codebook system we were not able to obtain competitive
results, but using a multiple-codebook system
we were able to get better results than a traditional system. Interestingly,
we were able to get better results than a traditional system, for one
database (RM). Interestingly,
for both the single-codebook or multiple-codebook systems, we saw better
results with full rather than diagonal covariances.
......@@ -567,7 +568,8 @@ the one we used here.
%\label{sec:ref}
% Korbinian: We might need that ;)
\footnotesize
%\footnotesize
\bibliographystyle{IEEEbib}
\bibliography{refs-eig,refs}
......
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