| 摘要 |
A method of deriving a compressed acoustic model for speech recognition is disclosed herein. In a described embodiment, the method comprises transforming an acoustic model into an eigenspace at step 20, determining eigenvectors of the eigenspace and their eigenvalues, and selectively encoding dimensions of the eigenvectors based on values of the eigenspace at step 30 to obtain a compressed acoustic model at steps 40 and 50.
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