| tech,28-3-H92-1036,bq | , <term> speaker adaptation </term> , <term> | speaker group modeling | </term> and <term> corrective training </term> | #19127 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,15-4-H92-1036,bq | to show the effectiveness of the <term> | MAP estimation approach | </term> . It is well-known that there are | #19149 New experimental results on all four applications are provided to show the effectiveness of the MAP estimation approach . |
