C86-1146 |
problem which made a wide use of
|
speech processing
|
systems impossible . The noise
|
C94-2159 |
The most significant concern in
|
speech processing
|
is raising the recognition accuracy
|
C86-1146 |
. 2 . In difference to common
|
speech processing
|
systems VESPRA has an integrated
|
C90-3014 |
constructing the computational
|
speech processing
|
system , similar to a syntactical
|
C86-1143 |
phonology in the modelling of
|
speech processing
|
. It will be argued that recent
|
C86-1143 |
phonology should be put to use in
|
speech processing
|
systems ( SPS ) . Models ol phonology
|
C90-3038 |
indebted to the members of the
|
Speech Processing
|
Department at ATR , for their
|
C88-1082 |
greatly increases the accuracy of
|
speech processing
|
. This grammar only has two syntactic
|
C86-1138 |
influence the lower levels of
|
speech processing
|
. However , the separation assumption
|
C86-1138 |
language . e probability measures :
|
Speech processing
|
systems typically provide a relative
|
C90-1025 |
linguistics . The interest in
|
speech processing
|
- both analysis and synthesis
|
A00-1016 |
offboard processor . Since the
|
speech processing
|
units are not in fact physically
|
C88-1082 |
prediction algorithms . After
|
speech processing
|
and phrase recognition based
|
A97-1056 |
part -- of -- speech tagging and
|
speech processing
|
, they require a fixed interdependency
|
A97-1000 |
research . Center for Language and
|
Speech Processing
|
Johns Hopkins University In order
|
C92-2070 |
disambiguafion is important in
|
speech processing
|
. 3 . Evaluation The algorithm
|
C00-2125 |
not only play a decisive role in
|
speech processing
|
technology systems , they also
|
C82-1035 |
version is directly compatible with
|
speech processing
|
programs written in the same
|
C94-1082 |
LtIIP is not intended for use in
|
speech processing
|
. 2This example is taken fronl
|
A00-2014 |
corpus we will use to evaluate our
|
speech processing
|
system . We have constructed
|