tech,22-3-H92-1036,bq |
recognition
</term>
applications , namely
<term>
|
parameter smoothing
|
</term>
,
<term>
speaker adaptation
</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 |
<term>
parameter smoothing
</term>
,
<term>
|
speaker adaptation
|
</term>
,
<term>
speaker group modeling
</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. |
tech,17-3-H92-1036,bq |
unified approach for the following four
<term>
|
speech recognition
|
</term>
applications , namely
<term>
parameter
|
#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. |