Applying DTW on MFCC frames

Question

I want to use MFCC (Mel-frequency cepstral coefficients) and DTW (dynamic time warping) algorithms to make a speech comparison script. I calculated MFCC and got 13 coefficients for each frame.

How do I calculate DWT from that? Should I discard the frames and just look at coefficents as an array. I read in this post: Speech recognition using MFCC and DTW(Dynamic Time Warping)? that you should calculate DTW between each frame, but I don't understand what I should do after I have calculated all those DTWs. If I have one audio sequence of $n$ frames and the other one of $m$ frames, then I get $n \times m$ DTW costs. And, where do I go from there.

Answer 1

Well I think I found a solution to this, mostly by trial and error.

So what I did and its giving quite good results is : 1) If we have M(No. of frames) X N(13;No of MFCC Coefficients) matrix;

ie X=X[1 2 .....N(13) ; 1 2.....M(No of frames) ]

2) Find the DTW of [X(1;1 2 3.....M)] with the DATABASE [REF(1;1 2 3...M)] Here we are taking K=1(Not 2...12) Similarly find DTW of [X(2;1 2 3...M)] and DATABASE [REF(1;1 2 3...M)]

3) On generalizing, Find DTW of [X(k(kth MFCC coef); 1 2 3...m)];

4)So at the end we will get : K(13) values ;

5) Find the mean of these 13(K) values and let that be your Reference for deciding;

*Disclaimer: I am not certain if this is what all the papers imply, I just found it by trial and error and it gives accurate results