Hi Matthew,

I would like to see how well HTMs performs in phoneme recognition compared to 
deep recurrent neural networks (like these: http://arxiv.org/abs/1303.5778).

The idea is to use the TIMIT database training set to train the HTM network.
During training I was thinking of inputting

*         Mel-frequency cepstral coefficient (MFCC) vectors obtained from 
cepstral analysis of TIMIT training set audio files (floats)

*         Phoneme transcripts of audio files (text)

Once training is finalized I was thinking of inputting

*         MFCC vectors obtained from cepstral analysis of TIMIT test set audio 
files

I would then like to see how well the HTM network recognises the phonemes.
( I think the problem is very similar to 
http://dx.doi.org/10.1016/j.neucom.2011.10.005)

Regards,
Manuel


From: nupic [mailto:[email protected]] On Behalf Of Matthew Taylor
Sent: 17 January 2014 14:52
To: NuPIC general mailing list.
Subject: Re: [nupic-discuss] Speech Recognition using NuPIC

What exactly will you be attempting? What is the speech input, audio or 
textual? Is there training data? If you can define your problem, we should be 
able to help you more.

Regards,

---------
Matt Taylor
OS Community Flag-Bearer
Numenta

On Fri, Jan 17, 2014 at 3:58 AM, Scheele, Manuel 
<[email protected]<mailto:[email protected]>> wrote:
Hi all,

I am currently working on a speech recognition application based on NuPIC. I 
have done my initial reading and have been following the mailing lists, but now 
that I have started to think about the implementation I have encountered a 
problem: I don't know where to start. I lack an understanding of the workflow. 
How do I go about defining the model, setting up the network, etc. I couldn't 
find anything on the wiki pages. Could someone please help me out and give me a 
few hints. (I have looked through the examples and NLP projects on the wiki 
pages. However, there is so much code everywhere that I am not sure where to 
start looking).

Thanks in advance.
Manuel

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