Soundscape Emotion Recognition on EMO Valence
64Number of VariablesConvolutional Neuronal Networks
Evaluation Results
| Method | Links | |
|---|---|---|
| Convolutional Neuronal NetworksWork=[27], Main variable/s=audio spectrograms as images2025.09 | 64 | |
| Several Deep Learning methodsWork=[21]2025.09 | 54 | |
| Support Vector RegressionWork=[15]2025.09 | 39 | |
| Random Forest and other methodsWork=[20], Main variable/s=1, 2, 42025.09 | 29 | |
| Convolutional Neuronal NetworksWork=[22], Main variable/s=∼ 24-36, 37-492025.09 | 23 | |
| Multiple Linear RegressionWork=[23], Main variable/s=114, 1132025.09 | 16 | |
| Random ForestWork=[6], Main variable/s=Roughness M, 12025.09 | 14 | |
| SEM with LASSOWork=Here, Main variable/s=114, 3 (and Arousal)2025.09 | 6 | |
| Decision Tree RegressionWork=[68], Main variable/s=114, 1022025.09 | 4 |