other,18-3-N03-1001,bq |
n-gram model
</term>
for a particular
<term>
|
domain
|
</term>
; the
<term>
output
</term>
of
<term>
|
#2273
In our method, unsupervised training is first used to train a phone n-gram model for a particular domain ; the output of recognition with this model is then passed to a phone-string classifier. |
tech,5-4-N03-1001,bq |
classification accuracy
</term>
of the
<term>
|
method
|
</term>
is evaluated on three different
<term>
|
#2295
The classification accuracy of the method is evaluated on three different spoken language system domains. |
model,26-3-N03-1001,bq |
<term>
recognition
</term>
with this
<term>
|
model
|
</term>
is then passed to a
<term>
phone-string
|
#2281
In our method, unsupervised training is first used to train a phone n-gram model for a particular domain; the output of recognition with this model is then passed to a phone-string classifier. |
other,21-3-N03-1001,bq |
particular
<term>
domain
</term>
; the
<term>
|
output
|
</term>
of
<term>
recognition
</term>
with this
|
#2276
In our method, unsupervised training is first used to train a phone n-gram model for a particular domain; the output of recognition with this model is then passed to a phone-string classifier. |
tech,23-3-N03-1001,bq |
</term>
; the
<term>
output
</term>
of
<term>
|
recognition
|
</term>
with this
<term>
model
</term>
is then
|
#2278
In our method, unsupervised training is first used to train a phone n-gram model for a particular domain; the output of recognition with this model is then passed to a phone-string classifier. |