Continuous speech recognition
Morgan, N.; Bourlard, H.
Signal Processing Magazine, IEEE
Volume 12, Issue 3, May 1995 Page(s):24 - 42
Digital Object Identifier 10.1109/79.382443
Summary:The authors focus on a tutorial description of the hybrid HMM/ANN
method. The approach has been applied to large vocabulary continuous
speech recognition, and variants are in use by many researchers, The
method provides a mechanism for incorporating a range of sources of
evidence without strong assumptions about their joint statistics, and
may have applicability to much more complex systems that can incorporate
deep acoustic and linguistic context. The method is inherently
discriminant and conservative of parameters. Despite these potential
advantages, the hybrid method has focused on implementing fairly simple
systems, which do surprisingly well on large continuous speech
recognition tasks, Researchers are only beginning to explore the use of
more complex structures with this paradigm. In particular, they are just
beginning to look at the connectionist inference of language models
(including phonology) from data, which may be required in order to take
advantage of locally discriminant probabilities rather than simply
translating to likelihoods. Finally, the authors' current intuition is
that more advanced versions of the hybrid method can greatly benefit
from a perceptual perspective
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