H90-1003 |
we present a new sentence-level
|
fast match
|
scheme for continuous speech
|
H89-2028 |
Methods for performing acoustic
|
fast matches
|
are currently known . NLP fast
|
H91-1055 |
system includes a tree-structured
|
fast match
|
\ -LSB- l , 3 \ -RSB- to reduce
|
H90-1003 |
computation . The second algorithm is a
|
fast match
|
scheme for continuous speech
|
H89-2028 |
matches are currently known . NLP
|
fast matches
|
may or may not be possible .
|
H92-1081 |
. THE FAST MATCH The acoustic
|
fast match
|
( AFM ) algorithm used here is
|
H92-1067 |
approach depends on having a good
|
fast match
|
strategy to identify candidate
|
H89-2028 |
both the CSR and NLP will provide
|
fast matches
|
. These matches take a partial
|
C00-2152 |
index that allows a preliminary
|
fast match
|
. Examples that survive the fast
|
H91-1055 |
probabilities are ignored . The current
|
fast match
|
reduces the number of possible
|
H89-2028 |
combination of the probabilities . ( "
|
Fast matches
|
" can he used to limit the number
|
H90-1032 |
could be incorporated into the
|
fast match
|
algorithm . The seventh and last
|
H90-1003 |
Several papers have described
|
fast match
|
schemes that look ahead ( incurring
|
H92-1081 |
primarily on a time basis . THE
|
FAST MATCH
|
The acoustic fast match ( AFM
|
H92-1081 |
topic of particular interest is
|
fast match
|
techniques and structures . There
|
H89-2027 |
alternatives must be generated using a
|
fast match
|
<title> Advisory Committee :
|
D09-1110 |
the forest , result in a very
|
fast matching
|
procedure , as illustrated in
|
H92-1077 |
search strategy with an acoustic
|
fast match
|
. Cross-word models had not yet
|
H92-1081 |
decoder \ -LSB- 1,7,16 \ -RSB- with
|
fast match
|
\ -LSB- 2,3,5 \ -RSB- is used
|
H89-2028 |
the overall performance . 2.4
|
Fast matches
|
To reduce the search space ,
|