Probabilistic Bilinear Transformation Space-Based Joint Maximum A Posteriori Adaptation

ETRI Journal

关键词: MAP;    bilinear model;    Speaker adaptation;   

Others  :  1186310
DOI  :  10.4218/etrij.12.0212.0054

【 摘 要 】

This letter proposes a more advanced joint maximum a posteriori (MAP) adaptation using a prior model based on a probabilistic scheme utilizing the bilinear transformation (BIT) concept. The proposed method not only has scalable parameters but is also based on a single prior distribution without the heuristic parameters of the previous joint BIT-MAP method. Experiment results, irrespective of the amount of adaptation data, show that the proposed method leads to a consistent improvement over the previous method.

   

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