Comparing various MFCC features

In Figure 10.2, we show the acid test results for three MFCC chains: software/module_mel_ml.m, software/module_mel_bank.m with method='spa', and software/module_mel_bank.m with method='clt'. The best was ML, followed by SPA, then CLT. This means that for estimating the PDF of data that has a spectral structure consistent with MFCC, that software/module_mel_ml.m is superior. This does not necessarily mean it is better in, say, human speech applications.
Figure 10.2: Acid test performance of three types of MFCC feature chains for data generated according to the circular MFCC model.
\includegraphics[height=2.5in,width=2.0in]{mfml_mf_mftest.eps} \includegraphics[height=2.5in,width=2.0in]{mfspa_mf_mftest.eps} \includegraphics[height=2.5in,width=2.0in]{mfclt_mf_mftest.eps}



Baggenstoss 2017-05-19