Research Article

Nonlinear Dynamic Feature Extraction Based on Phase Space Reconstruction for the Classification of Speech and Emotion

Table 4

Recognition results of the two features for different SNR (dB).

Word no.Feature typeSNE (dB)
15202530CleanAverage

10MFCC91.9091.9091.9093.8194.7692.85
NLD-1 + MFCC93.3394.2993.3394.2995.7194.19
NLD-2 + MFCC93.3394.2993.3394.2995.7194.19
NLD + MFCC92.8595.2492.3895.2495.7194.28

20MFCC91.1993.3891.6792.8692.1492.25
NLD-1 + MFCC92.3892.8193.5793.1092.8692.94
NLD-2 + MFCC91.1993.8193.5792.8692.6193.04
NLD + MFCC92.1493.8193.1094.0592.6293.14

30MFCC87.6289.6891.2792.2289.0590.32
NLD-1 + MFCC90.7990.7991.2792.6389.7991.54
NLD-2 + MFCC87.6291.1192.0692.2290.7990.76
NLD + MFCC88.7391.1192.0692.6391.2791.16

40MFCC86.9088.6990.3190.0088.3388.85
NLD-1 + MFCC87.1490.3591.3190.3688.6989.57
NLD-2 + MFCC87.1490.3591.7990.3688.6989.67
NLD + MFCC87.8689.8890.3690.2488.9389.45

50MFCC84.2987.7188.9578.7685.8285.11
NLD-1 + MFCC85.8187.9088.4878.8185.0585.21
NLD-2 + MFCC85.5287.5289.0578.7685.5285.27
NLD + MFCC85.5287.5289.0588.1087.7187.58