From: Discriminant non-stationary signal features’ clustering using hard and fuzzy cluster labeling
Classes | Dataset | Average accuracy | ||
---|---|---|---|---|
TF + soft labeling (%) | TF + GMM (%) | MFCC + GMM (%) | ||
Human/non-human | Non-human: aircraft, piano, animal, bird | 96 | 86 | 79 |
Human: male and female speeches | ||||
Human/music | Music: piano, flute, drum | 98 | 68 | 71 |
Human: male and female speeches | ||||
Natural/artificial | Natural: male, female, bird, animal, insect | 91 | 63 | 62 |
Artificial: helicopter, airplane, piano, flute, drum | ||||
Human/Nature | Nature: animal, insect, bird | 98 | 83 | 75 |
Human: male and female speeches | ||||
Aircraft/music | Music: piano, flute, drum | 98 | 76 | 89 |
Aircraft: helicopter, airplane |