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
Acid test performance of three types
of MFCC feature chains for data generated according to the
circular MFCC model.