Re: [Cmusphinx-gsoc] Greetings

[apurv t. <apu...@gm...>]

Hi Everyone,
@James Baker: Thanks for the encouragement. I will keep those suggestions in
mind while working on this project.
@Nickolay : 19:00 UTC works fine for me as well.
@Michal: Hi ! :-) Congrats for the project. We should get in touch soon.

I am glad to be working on this project and with this team !

Regards,
-
Apurv Tiwari





On Wed, May 11, 2011 at 3:14 AM, Nickolay V. Shmyrev
<nsh...@ne...>wrote:

> В Втр, 10/05/2011 в 13:29 -0400, James Baker пишет:
> > Hello Michal and Apurv,
> >
> > I don't know if you have seen each other's messages or posting.  If
> > not, let this email be your introduction to each other.
> >
> > You are working on two closely related, but complementary projects.
> > You are both working on problems related to training acoustic models
> > using long audio files.  You both must work on implementation issues
> > that occur with any work on long audio files, including reducing
> > memory requirements.
> >
> > Beyond that, Michal's main objective is to speed up processing by
> > porting acoustic model training algorithms to a GPGPU environment
> > using CUDA.  This speed will, for example, help us to be able to
> > process the 15,000 hours of audio data on librivox.org.
> >
> > Apurv's objective is to make the acoustic model training robust
> > against script errors, disfluencies and other disturbances that affect
> > any acoustic model training, but that are more severe with long audio
> > files.  This robustness is needed to help us handle many real-world
> > sources of data.
> >
> > For Michal, we have suggested a memory saving trick that works for
> > hidden Markov process processing in general.  It reduces the memory
> > requirement to be O(sqrt(T)) and appears to be appropriate to
> > implementation on parallel processors.
> >
> > For Apruv, we have suggested a memory saving trick that, for speech
> > alignment computations, reduces the average memory requirement to
> > O(1), but that does not seem to be reasonable for a parallel
> > processing implementation.
> >
> > You should get to know each other and share your work wherever that
> > makes you more efficient.
> >
> > Nickolay and I, and other members of the Sphinx team, are available to
> > answer questions and to make suggestions to help you be more
> > productive.  This is not a course homework assignment in which you
> > must do all the work by yourself.  This is a real-world team
> > development effort where we are all working together to produce the
> > best end result.
>
> Very true.
>
> Btw Apurv and Michal, I'm planning a quick voice chat between us on
> Skype somewhere over the weekend. An evening around 7PM UTC works for
> me. Please provide the information when you can be available.
>
>