Using dhmm_em to form the hmm of mfccs' from song clips

I was working on a project on music genre classification and decided to use an hmm to model my data. After extracting the mfccs' from multiple song clips I get multiple matrices of size 13 * x (depending on song length).

From what I understand hmm_train cannot be used for sequences of vectors and murphyk's toolbox might work. I tried modifying the demo file as follows to try a single song but I'm getting the error 'Attempted to access obsmat(:,61.6357); index must be a positive integer or logical..'

O = 5;
Q = 10;

coeff=melfcc(v);
data=coeff';

% initial guess of parameters
prior1 = normalise(rand(Q,1));
transmat1 = mk_stochastic(rand(Q,Q));
obsmat1 = mk_stochastic(rand(Q,O));

% improve guess of parameters using EM
[LL, prior2, transmat2, obsmat2] = dhmm_em(data, prior1, transmat1, obsmat1, 'max_iter', 5);
LL


I haven't worked on this stuff before so I apologize in advance if my question comes across as really basic. It would be great if somebody could tell me where I'm going wrong. Also for multiple clips, should I simply append the matrices generated to the one I'm supplying above? Thanks.

Edit: It turns out that the above hmm can only be applied to discrete values which is possibly why I was getting errors. It seems I have to use another function for 'gaussian output' instead, mhmm_em. I'll post another question to figure out its working.

• hello am facing the same problem Attempted to access obsmat(:,0.856506); index must be a positive integer or logical. how did you solve it? Nov 26, 2016 at 6:11
• Assuming you made the same mistake as me, you probably provided continuous values, so had decimals in your data. The function above can only take discrete values, i.e., integers only. Nov 29, 2016 at 19:20