tech,17-3-H92-1036,bq |
Because of its adaptive nature ,
<term>
Bayesian learning
</term>
serves as a unified approach for the following four
<term>
speech recognition
</term>
applications , namely
<term>
parameter smoothing
</term>
,
<term>
speaker adaptation
</term>
,
<term>
speaker group modeling
</term>
and
<term>
corrective training
</term>
.
|
#19116
Because of its adaptive nature, Bayesian learning serves as a unified approach for the following four speech recognition applications, namely parameter smoothing, speaker adaptation, speaker group modeling and corrective training. |
tech,22-3-H92-1036,bq |
Because of its adaptive nature ,
<term>
Bayesian learning
</term>
serves as a unified approach for the following four
<term>
speech recognition
</term>
applications , namely
<term>
parameter smoothing
</term>
,
<term>
speaker adaptation
</term>
,
<term>
speaker group modeling
</term>
and
<term>
corrective training
</term>
.
|
#19121
Because of its adaptive nature, Bayesian learning serves as a unified approach for the following four speech recognition applications, namely parameter smoothing , speaker adaptation, speaker group modeling and corrective training. |
tech,25-3-H92-1036,bq |
Because of its adaptive nature ,
<term>
Bayesian learning
</term>
serves as a unified approach for the following four
<term>
speech recognition
</term>
applications , namely
<term>
parameter smoothing
</term>
,
<term>
speaker adaptation
</term>
,
<term>
speaker group modeling
</term>
and
<term>
corrective training
</term>
.
|
#19124
Because of its adaptive nature, Bayesian learning serves as a unified approach for the following four speech recognition applications, namely parameter smoothing, speaker adaptation , speaker group modeling and corrective training. |