Table 1 Classification result for the audio dataset in LRF-ELM network.
Dataset | Class | Number of hidden nodes | % Accuracy | |||
|---|---|---|---|---|---|---|
Train | Test | |||||
Floating | Quantizeda | Floating | Quantizeda | |||
Animal (ESC-50) | Insects | 3750 | 93 | 90 | 90 | 89 |
Natural Landscape (ESC-50) | Crackling Fire | 3750 | 93 | 92 | 92 | 89 |
Human Non-Speech (ESC-50) | Footstep | 3750 | 86 | 83 | 84 | 81 |
Interior Domestic Sound (ESC-50) | Washing Machine | 3750 | 93 | 92 | 90 | 89 |
Exterior Urban Noise (ESC-50) | Saw chain | 3750 | 95 | 94 | 92 | 91 |
FSDD | Speaker Recognition | 5750 | 86.00 | 84.50 | 82.25 | 80.00 |
