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 utilizes 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.
Original language | English |
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Pages (from-to) | 783-785 |
Journal | Electronics Letters |
Volume | 35 |
Issue number | 10 |
DOIs | |
Publication status | Published - 13 May 1999 |
Externally published | Yes |