* [[Extensions]] [#nd224010]

Some of HTS users have implemented substantial extensions to HTS. On this page we provide short descriptions and links to further information.  Many thanks to the authors of these extensions.

If you provide some free extension to HTS for download and would like to see it listed on this page, please contact [[us>Contact]].

** DFKI MARY [#sa03ffda]
> [[DFKI MARY speech synthesis system:http://mary.opendfki.de/]] provides voice import tools for creating your own HMM-based voices for MARY.  It uses versions of the speaker dependent and adaptive demo scripts provided by HTS adapted to the MARY platform.  For details, please see [[tutorial:http://mary.opendfki.de/wiki/HMMVoiceCreation]].

> [[Marc Schroeder:http://www.dfki.de/~schroed/]]

** Multi-process supporting patch for HTS-demo_CMU-ARCTIC-SLT [#ke48fc2d]
> This patch uses JM command of HHEd in HTS-2.1 to provide an option for clustering in parallel. In a training environment with multi-core CPUs, the clustering time of HHEd could be generally reduced. The patch is applied to [[HTS-demo_CMU-ARCTIC-SLT (ver.2.1):http://hts.sp.nitech.ac.jp/archives/2.1/HTS-demo_CMU-ARCTIC-SLT.tar.bz2]] only.  Please visit [[this page:http://yaoxuchen.googlepages.com/scriptpatchhts]].

> [[Xuchen Yao:http://yaoxuchen.googlepages.com/xuchen_en]] and Feng Ding

** Open-Source LVCSR Engine Julius [#ua7a8722]
> The open-source LVCSR engine [[Julius:http://julius.sourceforge.jp/en_index.php?q=index-en.html]] now supports '''multi-stream HMMs with stream-depdendent parameter tying structure''' and '''multi-space probability distribution HMMs (MSD-HMMs)''' built by HTS.  You can use acoustic models trained by HTS directly.  Please check [[announce:http://julius.sourceforge.jp/forum/viewtopic.php?f=2&t=62]] and [[update:http://julius.sourceforge.jp/forum/viewtopic.php?f=9&t=60#p181]] pages on the Julius user forum for details.

> [[Akinobu Lee:http://www.sp.nitech.ac.jp/~ri/index.html.en]]

** Handwriting Recognition [#uf7684df]
> [[This tool:http://www.wushido.com/hmm/]] is developed for an online handwriting recognition application using hidden Markov models with multi space probability distributions. It includes a tool which modifies prototypes for HTK compatibility.

> Gavin Potter

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