This is an in-depth, tutorial-style introduction to the techniques involved in training a factor analyzed style of speech recognition system. Algorithms are explained in detail, with an emphasis on the how-to rather than the derivations. The recipe described here is both an extension to and a special case of the prior work we have done. Changes include a simplification of the procedure used to initialize these models, the introduction of ``sub-models'' which saves memory and may have modeling advantages, an extended approach to factor based speaker adaptation that uses the sub-models, and a mechanism to estimate

a subspace-constrained version of Constrained MLLR transforms in this framework.

Publisher: Microsoft
© 2008 Microsoft Corporation. All rights reserved.

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