|Department of Engineering|
|University of Cambridge > Engineering Department > Machine Intelligence Lab|
This is an implementation of the autoregressive HMM built on top of HTS. It provides the ability to do embedded re-estimation and decision tree clustering for linear-Gaussian autoregressive output distributions.
An example of how to use this implementation is available (autoregressive HMM version of the HTS demo).
This extension is released as a patch file for HTS, which is in turn released as a patch file for HTK. The modifications represented in the patch file below are released under a BSD-style license. However please note that once you apply this patch file to HTS, you must obey the license of HTS and license of HTK.
Old versions are available in the archive.
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2005 Cambridge University Engineering Dept
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