Classifying Human Voices by Using Hybrid SFX Time-Series Preprocessing and Ensemble Feature Selection
Figure 10
(a) Visualization of FM dataset that belongs to the “Female” group. (b) Visualization of FM dataset that belongs to the “Male” group. (c) Visualization of ES dataset that belongs to the “Anger” group. (d) Visualization of ES dataset that belongs to the “Happiness” group. (e) Visualization of ES dataset that belongs to the “Neutral” group. (f) Visualization of ES dataset that belongs to the “Sadness” group. (g) Visualization of SI dataset that belongs to the “Speaker 1” group. (h) Visualization of SI dataset that belongs to the “Speaker 2” group. (i) Visualization of SI dataset that belongs to the “Speaker 3” group. (j) Visualization of LR dataset that belongs to the “Cantonese” group. (k) Visualization of LR dataset that belongs to the “English” group. (l) Visualization of LR dataset that belongs to the “Mandarin” group.
