W02-0718 |
approach . Real applications using
|
ASR technology
|
are used in many applications
|
P07-1012 |
been largely neglected in modern
|
ASR technology
|
. This is due to ASR having been
|
H89-1020 |
application using large-vocabulary
|
ASR technology
|
, this study argues for the importance
|
W15-1825 |
3 Related work The interest in
|
ASR technologies
|
for dictation in fields such
|
W15-1825 |
mid-1990s , research efforts to adapt
|
ASR technology
|
to human translation took place
|
W02-1714 |
significant departure from current
|
ASR technology
|
, is described . The second system
|
W13-4064 |
Dictation and Siri share the same
|
ASR technology
|
, Dictation only does speech
|
W13-3910 |
errors are an inevitable part of
|
ASR technologies
|
-LSB- 1 -RSB- . In the presence
|
W13-3910 |
from a decade ago identified that
|
ASR technology
|
is not able to provide corrective
|
W13-3910 |
Despite rapid improvements in
|
ASR technology
|
, some researchers believe that
|
W13-3909 |
. One strategy which combines
|
ASR technology
|
with manual transcripts is to
|
P07-1012 |
approach , and make large vocabulary
|
ASR technology
|
possible for languages similar
|
W15-1825 |
large volumes of text , and with
|
ASR technology
|
. Lastly , we enumerate several
|
W13-3910 |
intervention . We discuss how
|
ASR technology
|
as of present often provides
|
H89-1020 |
illness affect voice quality and
|
ASR technology
|
must be robust with respect to
|
W13-3909 |
Despite major improvements in
|
ASR technology
|
over the past few decades , accuracy
|
W13-3909 |
results of an initial attempt to use
|
ASR technology
|
to generate transcripts of spoken
|
P05-1055 |
the previous section showed how
|
ASR technology
|
and PSPL lattices can be used
|
W09-2102 |
it indicates that while current
|
ASR technology
|
is not yet able to exactly transcribe
|
W15-1825 |
needs and opinions vis-à-vis
|
ASR technology
|
( Ciobanu , 2014 ; Zapata , 2012
|