Spoken Language Identification On Youtube
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| CRNN | 0.967 | Is Attention always needed? A Case Study on Language Identification from Speech | - |
| CRNN Attention | 0.966 | Is Attention always needed? A Case Study on Language Identification from Speech | - |
| Inception-v3 CRNN | 0.96 | Language Identification Using Deep Convolutional Recurrent Neural Networks | |
| CRNN | 0.91 | Language Identification Using Deep Convolutional Recurrent Neural Networks | |
| CNN | 0.948 | Is Attention always needed? A Case Study on Language Identification from Speech | - |
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