Improved maximum model distance for HMM training |
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Authors: | He QH Kwong S Man KF Tang KS |
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Affiliation: | South China Univ. of Technol., Guangzhou; |
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Abstract: | A new approach based on the maximum model distance (IMMD) approach for HMM speech recognition systems is proposed. It defines a more realistic model distance definition for HMM training, and utilises the limited training data in a more effective manner. Theoretical and practical issues concerning this approach are investigated. Experimental results showed that a significant reduction in errors could be achieved with this new approach when compared with the maximum model distance (MMD) criterion |
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