Language Identification on Language Id. (test)
98.63AccuracyCNN
Evaluation results
| Method | Links | |
|---|---|---|
| CNNAverage number of neurons=2M-10M parameters2026.03 | 98.63 | |
| RC based(Using Matlab MFCC(Exp 1))Average number of neurons=400 Neurons2026.03 | 96.3 | |
| Word embeddingAverage number of neurons=1M-5M parameters2026.03 | 92.2 | |
| CapsNetAverage number of neurons=10M-20M parameters2026.03 | 88.76 | |
| TRILLEvaluation Protocol=Linear Classifier2020.10 | 88.1 | |
| RC based(Reservoir Mimicking MFCC)Average number of neurons=RC-1=950 neurons, RC-2=400 neurons2026.03 | 85.89 | |
| RC based(time domain MFCC(Exp 2)Average number of neurons=RC-1=35 neurons, RC-2=400 neurons2026.03 | 83.33 | |
| SVMAverage number of neurons=(Depends on support vectors)2026.03 | 83.32 | |
| CNN LSTMAverage number of neurons=5M-15M parameters2026.03 | 80.52 | |
| Logistic regression 1-vectorAverage number of neurons=1M parameters2026.03 | 80.23 | |
| ResNet50Average number of neurons=5M parameters2026.03 | 80.2 | |
| Acoustic modelAverage number of neurons=(Depends on dataset size)2026.03 | 73.23 | |
| Random forest classifier VGG16Average number of neurons=10K-100K trees2026.03 | 71.9 | |
| COLAEvaluation Protocol=Linear Classifier2020.10 | 71.3 | |
| LSTM-CNNAverage number of neurons=5M-15M parameters2026.03 | 68.33 | |
| 2D ConvNet bidirectional GRUAverage number of neurons=10M-20M parameters2026.03 | 65.23 | |
| Logistic regressionAverage number of neurons=- (Depends on dataset size)2026.03 | 61.95 | |
| Naive BayesAverage number of neurons=100K parameters2026.03 | 49.75 |