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Autoregressive HMM for HTS

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).

Download

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.

Prerequisites

Current version

Old versions are available in the archive.

Relevant publications

See Matt Shannon's page for more relevant publications.

© 2005 Cambridge University Engineering Dept
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