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EURASIP Journal on Audio, Speech, and Music Processing

Table 2 Comparison of overall average recognition rates of different number of MFCC features with Fisher-Markov selector on three test sets of Aurora 2 task

From: Autocorrelation-based noise subtraction method with smoothing, overestimation, energy, and cepstral mean and variance normalization for noisy speech recognition

Number of MFCC coefficients Recognition rate (%) Overall average of recognition rate (%)
Set A Set B Set C
3 MFCC + log energy + their first and second order derivatives 57.38 44.95 51.29 51.21
4 MFCC + log energy + their first and second order derivatives 58.48 46.25 52.65 52.46
5 MFCC + log energy + their first and second order derivatives 60.41 48.16 54.46 54.34
6 MFCC + log energy + their first and second order derivatives 60.27 48.04 54.34 54.22
7 MFCC + log energy + their first and second order derivatives 62.49 50.13 56.45 56.36
8 MFCC + log energy + their first and second order derivatives 64.87 52.98 58.31 58.72
9 MFCC + log energy + their first and second order derivatives 64.23 52.01 57.48 57.91
10 MFCC + log energy + their first and second order derivatives 65.24 53.18 59.12 59.18
11 MFCC + log energy + their first and second order derivatives 64.56 52.63 57.98 58.39
12 MFCC + log energy + their first and second order derivatives 65.96 54.78 60.32 60.35
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