| H92-1033 | example twice . Therefore , our | vocabulary-bias training | algorithm is identical to duplicating |
| H92-1033 | vocabulary-adapted decision trees and | vocabulary-bias training | . Then we describe the codebook |
| H92-1033 | reduction is achieved by using | vocabulary-bias training | for the same task . Neverthe |
| H92-1102 | vocabulary-adapted decision trees and | vocabulary-bias training | , and by incorporating the CDCN |
| H92-1033 | by 9 % . The second algorithm , | vocabulary-bias training | , is to give the relevant allophones |
| H92-1033 | vocabulary-adapted decision trees and | vocabulary-bias training | , that improve the performance |
| H92-1033 | the VI training database . 3.2 | Vocabulary-Bias Training | While the above adaptation algorithm |
