Using HTK & Julius
This tutorial runs through the steps to *adapt* a pre-existing acoustic model, such as the VoxForge acoustic model, to your voice using the HTK
toolkit. The VoxForge acoustic model is speaker independent. Adapting it with your voice will increase its recognition
accuracy for your voice, which can then be used with the Julius Speech Recognition Engine.
Note: This Tutorial was written when the most current version of HTK
was release 3.3 (the most current release is HTK r3.4.1). It uses an
even older version of HTK (r3.2.1) because
there were problems with adaptation using HTKr3.3 (see Ticket #41 for details).
Julius works with models trained with any HTK release (3.3, 3.2.1 or the most current version of HTK)
(Hidden Markov Toolkit) is a portable toolkit for
building and manipulating the statistical models used to represent
sound in Speech Recognition (these are called hidden Markov
models). Julius is large vocabulary
continuous speech recognition engine.
Table of Contents
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