We investigated the speech recognition of a person with articulation disorders resulting from athetoid cerebral palsy. The articulation of the first speech tends to become unstable due to strain on speech-related muscles, and that causes degradation of speech recognition. Therefore, we proposed a robust feature extraction method based on PCA (Principal Component Analysis) instead of MFCC . In this paper, we discuss our effort to integrate a Metamodel  and Acoustic model approach. Meta-model has a technique for incorporating a model of a speaker's confusion matrix into the ASR process in such a way as to increase recognition accuracy. Its effectiveness has been confirmed by word recognition experiments.
Bibliographic reference. Matsumasa, Hironori / Takiguchi, Tetsuya / Ariki, Yasuo / Li, Ichao / Nakabayashi, Toshitaka (2008): "Integration of metamodel and acoustic model for speech recognition", In INTERSPEECH-2008, 2234-2237.