Digit recognition using neural network
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vishala.gavi
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#1
09-02-2010, 05:29 PM


full report
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seminarbuddy
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#2
11-02-2010, 12:28 PM

This system uses modified diphones to train on the regions of greatest spectral stability as well as spectral change. In contrast, the previous methods segment the data into monophones, biphones, or triphones and train on each sub-phone unit in several broad-category contexts. regions of spectral stability are accounted for but their presence in the word models is not absolutely necessary. Empirical evidence for the advantage of this new method is seen by the 13 % reduction in word-level error. This was in the test set by OGI Numbers corpus. Comparitive study was conducted on a baseline system that used context-independent monophones and context-dependent biphones and triphones.
report:

.pdf   Digit recognition using neural network.pdf (Size: 90.66 KB / Downloads: 198)
Use Search at http://topicideas.net/search.php wisely To Get Information About Project Topic and Seminar ideas with report/source code along pdf and ppt presenaion
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seminar addict
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#3
18-01-2012, 10:23 AM

to get information about the topic FACE RECOGNITION USING Neural Network full report ,ppt and related topic refer the link bellow

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seminar addict
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#4
19-01-2012, 11:26 AM

to get information about the topic FACE RECOGNITION USING NEURAL NETWORKS fullreport refer the link bellow

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seminar addict
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#5
20-01-2012, 10:03 AM


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