Oh!, We got a unsupervised learning for HMM

I am trying to use HMM in ECG processing, which is very popular right now, so i get the " A Tutorial on Hidden Markov Modes and Selected Applications in Speech Recognition" .

Then i got some open source on the websites.

Then what i need is to train it, even i have read the ML training, i still think i should give training data with observations and its responsible states, i.e. (O, S) pair. That is why i try to use matlab UI to build a software to let me annotate the ECG waveform to give the (O, S) pair.

After I ve done that, i find out" There are two training method", the supervised one and unsupervised one. The first one just use the frequency to replace the probabilities. Well the second one just try to improve the parameters to make observations more likely to happen.

So it is not smart to do things too fast, right?