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[Accessibility] Re: [Ghmm-list] Can you help write a free version of HTK

From: Alexander Schliep
Subject: [Accessibility] Re: [Ghmm-list] Can you help write a free version of HTK?
Date: Fri, 9 Jul 2010 13:20:59 -0400

On Jul 9, 2010, at 11:56 AM, <address@hidden> wrote:
I have already contacted them a while back and they said that their
library was not geared towards speech processing and couldn't be used for
it neither now nor in the short term future IIRC.

That is patently wrong.

What Janne Grunau wrote to you on the GHMM-List 1/19/2009 was:

From: Janne Grunau <address@hidden>
Date: 21. Januar 2009 12:33:03 MEZ
On Monday 19 January 2009 12:01:13 Peter Grasch wrote:
just wanted to know if GHMM can be used for that purpose.

I'm not sure if it can be used for speech recognition. The basics HMM
building blocks are there but I don't know enough about the specific HMM
usage in speech recognition. Most likely advanced HMMs for speech
recognition use some "tricks" which aren't implemented in the GHMM. It won't
be drop in replacement for HTK.

Looking at your homepage and the sourceforge trove categorization, it
seems that the generated models are not meant to be used for speech
recognition. Does that pose a problem?

Speech recognition is missing in the categorization since to my knowledge nobody uses the GHMM for speech recognition. As the name suggests the GHMM

Can the GHMM-generated models be
used for that? (we use tied-state triphone models)

I don't know what tied-state triphone models are exactly and short internet
search wasn't conclusive.

specific features are likely to be missing. I can't compare it to HTK since
even the HTK documentation requires a registration.

AFAIK there was never a follow-up from you. Obviously, the GHMM is not a drop-in replacement for HTK, but there is is nothing which prevents you from using it. In fact there is a very good book by Rabiner about speech recognition laying out the details.
Implement an HMM-based speech recognition system with the GHMM would
be absolutely feasible; but as Janne pointed out we do bioinformatics not speech recognition, so it is not done yet. Janne could have been more helpful, if at least the HTK docs would have been out in the open, or if you would have explained to him what the tied-state triphone models. In fact, there are just linear HMMs with the emission distributions tied. We do use tying for discrete emissions, extending to continous would
be trivial.


NEW Springer Book out: CATBox
Dr. Alexander Schliep, Associate Professor,   address@hidden
Department of Computer Science & BioMaPS Institute for Quantitative Biology
Rutgers, The State University of New Jersey, Piscataway, NJ, USA
Tel: (732) 445-2001 ext 1166   Hill Center #264

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