HMM using Kevin Murphy matlab toolbox
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[EDIT: 20110626 10:27 CDT - reformat - WDR]
Hi,
I am facing issues while building a HMM based recognizer for the recognition of 10 different words.
Details:
what should be the values of these parameters in the ?? Feature vector (for one word) size 100X39. 100-frames. 39 feature dimension.
O = 8; %Number of coefficients in a vector
T = 420; %Number of vectors in a sequence
nex = 1; %Number of sequences
M = 1; %Number of mixtures
Q = 6; %Number of states
for reference please check the code mhmm_em_demo.m in this toolbox.
10 different words from different speakers. Does this imply we need to have 10 HMM models for each word.
Lets say my feature vector is of 100X39 --What should be the output symbols and can we keep hidden states as any number say 5. Also, how to store this data since this toolbox requires data in three dimensional.
As I have just started on HMM so may be my question look pretty ordinary. Looking forward for a reply. Thanks for the help.
Regards
Prats
2 个评论
Fred Lawton
2013-9-12
Did you ever get help? I'm trying to use Kevin Murphy's toolbox, and I'm having some problems.
RITESH
2014-2-23
Prats, Are you done with your HMM based Speech Recognizer? of so, can you share the file with me, i mean the source code for reference. I have no idea where to start and how to develop it from scratch.Also may i know how much time it may involve?
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