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Speech recognition of children is a more difficult task than speech recognition of adults. This problem is amplified for children with articulation disorders like cleft lip and palate (CLP). In this work we improved our automatic speech recognition system by integrating prior knowledge. Prior knowledge focuses on two different aspects: A testdependent language modeling and an age-dependent acoustic modeling. These two approaches are merged at the end to different test-and age-dependentdoi:10.1109/slt.2010.5700861 dblp:conf/slt/BockletMEN10 fatcat:m5nk6mmiyrdrpfuea4rn5ikycu